PATTERN RECOGNITION-期刊论坛，投稿经验-MedSci.cn

[GetPortalCommentsPageByObjectIdResponse(id=852794, encodeId=087a852e946b, content=已投稿40天，期间有两次with editor，不见editor invited，应该是很慢了 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=72, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=7eed5414136, createdName=ms3195791918035402, createdTime=Thu Jul 25 00:16:23 CST 2019, time=2019-07-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852309, encodeId=fa7685230988, content=审稿速度不稳定，已投4个月暂无任何消息。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Jun 30 15:47:56 CST 2019, time=2019-06-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=849666, encodeId=55e084966678, content=这个期刊曾经是模式识别中除pami ijcv jlmr以外第四的刊物，国内有一些学者1998-2004年间仅有两三篇pr就获封杰青，可以看出其分量。应该是比较传统的期刊，因此各方面兼备，并不是那种追求时尚火热的刊物。同样的类似iop measurement science and technology，国内早期杰青有些也是靠这个刊物上位的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=52, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=93775414031, createdName=ms1011445849213233, createdTime=Tue Feb 12 15:16:52 CST 2019, time=2019-02-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=846149, encodeId=6e4f84614924, content=2017年10月初投递的关于模式分类论文，2018年8月中旬收到意见，感觉意见也不是很大，拒稿重投。审稿时间太长，感觉有点不负责任，还是自己运气问题。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=50, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Aug 12 18:31:05 CST 2018, time=2018-08-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=845368, encodeId=88f7845368f8, content=审稿速度:2.0 经验分享：上一楼的说法有点偏颇，这个期刊在我心中还是很厉害的期刊的。诚然当前深度学习已经火到约等于人工智能，但泡沫太大，pr在这方面还是蛮理智的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8c235413991, createdName=ms2848770090237977, createdTime=Mon Jul 16 15:59:41 CST 2018, time=2018-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844620, encodeId=c69c84462004, content=哎，期刊总体思路比较传统，还是经典模式识别领域的论文较多，未能及时跟上人工智能识别的步伐，所以if今年下降了，需要及时转型，总体讲还是2区不错的期刊。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=40, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=b1ed5414045, createdName=ms1700929302443684, createdTime=Fri Jun 29 20:06:15 CST 2018, time=2018-06-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=841627, encodeId=19d984162e07, content=投了一篇高光谱分类，半个月后通知主题不符被拒，给编辑发信，编辑叫重投。然后又重投，半个月后又说主题不符被拒。**。。。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=48, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ea935414137, createdName=ms8928334115937663, createdTime=Sun Mar 18 16:35:57 CST 2018, time=2018-03-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=551431, encodeId=eacf55143190, content=审稿速度:3.0 | 投稿命中率:25.0 经验分享：我觉得这个期刊还行，努力一把还是可以中的！曾经中过一篇！, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=271, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5c742000720, createdName=atease123, createdTime=Tue Jan 16 10:05:00 CST 2018, time=2018-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=835899, encodeId=1977835899ae, content=投稿到一审花了将近4个月，大修； 修回花了2个半月，技术接收，小修； 修回1个月，正式录用。 总共8个月录用。 最大的特点是，非常准时，花了1个月编辑审稿找审稿人，初审4个月左右给结果，大修2个半月给结果不含糊，小修1个月内给结果不含糊。 模式识别领域，除了变态的顶级期刊外，属于最好的的期刊了。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=30155414112, createdName=ms5532630230796179, createdTime=Fri Mar 17 15:03:46 CST 2017, time=2017-03-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=834741, encodeId=79c6834e412c, content=审稿速度:8.0 经验分享：tip侧重于低层的的数字图像和视频的处理；pr偏重于模式识别；cviu重点是计算机视觉！所以他们各有侧重，难分伯仲! , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=79425414132, createdName=ms5047990432985118, createdTime=Fri Nov 25 16:29:20 CST 2016, time=2016-11-25, status=1, ipAttribution=)]

2019-07-25 ms3195791918035402

已投稿40天，期间有两次with editor，不见editor invited，应该是很慢了

72 0

[GetPortalCommentsPageByObjectIdResponse(id=852794, encodeId=087a852e946b, content=已投稿40天，期间有两次with editor，不见editor invited，应该是很慢了 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=72, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=7eed5414136, createdName=ms3195791918035402, createdTime=Thu Jul 25 00:16:23 CST 2019, time=2019-07-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852309, encodeId=fa7685230988, content=审稿速度不稳定，已投4个月暂无任何消息。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Jun 30 15:47:56 CST 2019, time=2019-06-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=849666, encodeId=55e084966678, content=这个期刊曾经是模式识别中除pami ijcv jlmr以外第四的刊物，国内有一些学者1998-2004年间仅有两三篇pr就获封杰青，可以看出其分量。应该是比较传统的期刊，因此各方面兼备，并不是那种追求时尚火热的刊物。同样的类似iop measurement science and technology，国内早期杰青有些也是靠这个刊物上位的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=52, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=93775414031, createdName=ms1011445849213233, createdTime=Tue Feb 12 15:16:52 CST 2019, time=2019-02-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=846149, encodeId=6e4f84614924, content=2017年10月初投递的关于模式分类论文，2018年8月中旬收到意见，感觉意见也不是很大，拒稿重投。审稿时间太长，感觉有点不负责任，还是自己运气问题。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=50, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Aug 12 18:31:05 CST 2018, time=2018-08-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=845368, encodeId=88f7845368f8, content=审稿速度:2.0 经验分享：上一楼的说法有点偏颇，这个期刊在我心中还是很厉害的期刊的。诚然当前深度学习已经火到约等于人工智能，但泡沫太大，pr在这方面还是蛮理智的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8c235413991, createdName=ms2848770090237977, createdTime=Mon Jul 16 15:59:41 CST 2018, time=2018-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844620, encodeId=c69c84462004, content=哎，期刊总体思路比较传统，还是经典模式识别领域的论文较多，未能及时跟上人工智能识别的步伐，所以if今年下降了，需要及时转型，总体讲还是2区不错的期刊。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=40, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=b1ed5414045, createdName=ms1700929302443684, createdTime=Fri Jun 29 20:06:15 CST 2018, time=2018-06-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=841627, encodeId=19d984162e07, content=投了一篇高光谱分类，半个月后通知主题不符被拒，给编辑发信，编辑叫重投。然后又重投，半个月后又说主题不符被拒。**。。。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=48, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ea935414137, createdName=ms8928334115937663, createdTime=Sun Mar 18 16:35:57 CST 2018, time=2018-03-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=551431, encodeId=eacf55143190, content=审稿速度:3.0 | 投稿命中率:25.0 经验分享：我觉得这个期刊还行，努力一把还是可以中的！曾经中过一篇！, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=271, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5c742000720, createdName=atease123, createdTime=Tue Jan 16 10:05:00 CST 2018, time=2018-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=835899, encodeId=1977835899ae, content=投稿到一审花了将近4个月，大修； 修回花了2个半月，技术接收，小修； 修回1个月，正式录用。 总共8个月录用。 最大的特点是，非常准时，花了1个月编辑审稿找审稿人，初审4个月左右给结果，大修2个半月给结果不含糊，小修1个月内给结果不含糊。 模式识别领域，除了变态的顶级期刊外，属于最好的的期刊了。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=30155414112, createdName=ms5532630230796179, createdTime=Fri Mar 17 15:03:46 CST 2017, time=2017-03-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=834741, encodeId=79c6834e412c, content=审稿速度:8.0 经验分享：tip侧重于低层的的数字图像和视频的处理；pr偏重于模式识别；cviu重点是计算机视觉！所以他们各有侧重，难分伯仲! , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=79425414132, createdName=ms5047990432985118, createdTime=Fri Nov 25 16:29:20 CST 2016, time=2016-11-25, status=1, ipAttribution=)]

2019-06-30 ms8472206870533718

审稿速度不稳定，已投4个月暂无任何消息。

56 0

[GetPortalCommentsPageByObjectIdResponse(id=852794, encodeId=087a852e946b, content=已投稿40天，期间有两次with editor，不见editor invited，应该是很慢了 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=72, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=7eed5414136, createdName=ms3195791918035402, createdTime=Thu Jul 25 00:16:23 CST 2019, time=2019-07-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852309, encodeId=fa7685230988, content=审稿速度不稳定，已投4个月暂无任何消息。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Jun 30 15:47:56 CST 2019, time=2019-06-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=849666, encodeId=55e084966678, content=这个期刊曾经是模式识别中除pami ijcv jlmr以外第四的刊物，国内有一些学者1998-2004年间仅有两三篇pr就获封杰青，可以看出其分量。应该是比较传统的期刊，因此各方面兼备，并不是那种追求时尚火热的刊物。同样的类似iop measurement science and technology，国内早期杰青有些也是靠这个刊物上位的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=52, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=93775414031, createdName=ms1011445849213233, createdTime=Tue Feb 12 15:16:52 CST 2019, time=2019-02-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=846149, encodeId=6e4f84614924, content=2017年10月初投递的关于模式分类论文，2018年8月中旬收到意见，感觉意见也不是很大，拒稿重投。审稿时间太长，感觉有点不负责任，还是自己运气问题。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=50, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Aug 12 18:31:05 CST 2018, time=2018-08-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=845368, encodeId=88f7845368f8, content=审稿速度:2.0 经验分享：上一楼的说法有点偏颇，这个期刊在我心中还是很厉害的期刊的。诚然当前深度学习已经火到约等于人工智能，但泡沫太大，pr在这方面还是蛮理智的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8c235413991, createdName=ms2848770090237977, createdTime=Mon Jul 16 15:59:41 CST 2018, time=2018-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844620, encodeId=c69c84462004, content=哎，期刊总体思路比较传统，还是经典模式识别领域的论文较多，未能及时跟上人工智能识别的步伐，所以if今年下降了，需要及时转型，总体讲还是2区不错的期刊。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=40, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=b1ed5414045, createdName=ms1700929302443684, createdTime=Fri Jun 29 20:06:15 CST 2018, time=2018-06-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=841627, encodeId=19d984162e07, content=投了一篇高光谱分类，半个月后通知主题不符被拒，给编辑发信，编辑叫重投。然后又重投，半个月后又说主题不符被拒。**。。。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=48, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ea935414137, createdName=ms8928334115937663, createdTime=Sun Mar 18 16:35:57 CST 2018, time=2018-03-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=551431, encodeId=eacf55143190, content=审稿速度:3.0 | 投稿命中率:25.0 经验分享：我觉得这个期刊还行，努力一把还是可以中的！曾经中过一篇！, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=271, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5c742000720, createdName=atease123, createdTime=Tue Jan 16 10:05:00 CST 2018, time=2018-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=835899, encodeId=1977835899ae, content=投稿到一审花了将近4个月，大修； 修回花了2个半月，技术接收，小修； 修回1个月，正式录用。 总共8个月录用。 最大的特点是，非常准时，花了1个月编辑审稿找审稿人，初审4个月左右给结果，大修2个半月给结果不含糊，小修1个月内给结果不含糊。 模式识别领域，除了变态的顶级期刊外，属于最好的的期刊了。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=30155414112, createdName=ms5532630230796179, createdTime=Fri Mar 17 15:03:46 CST 2017, time=2017-03-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=834741, encodeId=79c6834e412c, content=审稿速度:8.0 经验分享：tip侧重于低层的的数字图像和视频的处理；pr偏重于模式识别；cviu重点是计算机视觉！所以他们各有侧重，难分伯仲! , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=79425414132, createdName=ms5047990432985118, createdTime=Fri Nov 25 16:29:20 CST 2016, time=2016-11-25, status=1, ipAttribution=)]

2019-02-12 ms1011445849213233

这个期刊曾经是模式识别中除pami ijcv jlmr以外第四的刊物，国内有一些学者1998-2004年间仅有两三篇pr就获封杰青，可以看出其分量。应该是比较传统的期刊，因此各方面兼备，并不是那种追求时尚火热的刊物。同样的类似iop measurement science and technology，国内早期杰青有些也是靠这个刊物上位的

52 0

[GetPortalCommentsPageByObjectIdResponse(id=852794, encodeId=087a852e946b, content=已投稿40天，期间有两次with editor，不见editor invited，应该是很慢了 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=72, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=7eed5414136, createdName=ms3195791918035402, createdTime=Thu Jul 25 00:16:23 CST 2019, time=2019-07-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852309, encodeId=fa7685230988, content=审稿速度不稳定，已投4个月暂无任何消息。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Jun 30 15:47:56 CST 2019, time=2019-06-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=849666, encodeId=55e084966678, content=这个期刊曾经是模式识别中除pami ijcv jlmr以外第四的刊物，国内有一些学者1998-2004年间仅有两三篇pr就获封杰青，可以看出其分量。应该是比较传统的期刊，因此各方面兼备，并不是那种追求时尚火热的刊物。同样的类似iop measurement science and technology，国内早期杰青有些也是靠这个刊物上位的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=52, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=93775414031, createdName=ms1011445849213233, createdTime=Tue Feb 12 15:16:52 CST 2019, time=2019-02-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=846149, encodeId=6e4f84614924, content=2017年10月初投递的关于模式分类论文，2018年8月中旬收到意见，感觉意见也不是很大，拒稿重投。审稿时间太长，感觉有点不负责任，还是自己运气问题。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=50, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Aug 12 18:31:05 CST 2018, time=2018-08-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=845368, encodeId=88f7845368f8, content=审稿速度:2.0 经验分享：上一楼的说法有点偏颇，这个期刊在我心中还是很厉害的期刊的。诚然当前深度学习已经火到约等于人工智能，但泡沫太大，pr在这方面还是蛮理智的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8c235413991, createdName=ms2848770090237977, createdTime=Mon Jul 16 15:59:41 CST 2018, time=2018-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844620, encodeId=c69c84462004, content=哎，期刊总体思路比较传统，还是经典模式识别领域的论文较多，未能及时跟上人工智能识别的步伐，所以if今年下降了，需要及时转型，总体讲还是2区不错的期刊。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=40, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=b1ed5414045, createdName=ms1700929302443684, createdTime=Fri Jun 29 20:06:15 CST 2018, time=2018-06-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=841627, encodeId=19d984162e07, content=投了一篇高光谱分类，半个月后通知主题不符被拒，给编辑发信，编辑叫重投。然后又重投，半个月后又说主题不符被拒。**。。。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=48, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ea935414137, createdName=ms8928334115937663, createdTime=Sun Mar 18 16:35:57 CST 2018, time=2018-03-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=551431, encodeId=eacf55143190, content=审稿速度:3.0 | 投稿命中率:25.0 经验分享：我觉得这个期刊还行，努力一把还是可以中的！曾经中过一篇！, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=271, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5c742000720, createdName=atease123, createdTime=Tue Jan 16 10:05:00 CST 2018, time=2018-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=835899, encodeId=1977835899ae, content=投稿到一审花了将近4个月，大修； 修回花了2个半月，技术接收，小修； 修回1个月，正式录用。 总共8个月录用。 最大的特点是，非常准时，花了1个月编辑审稿找审稿人，初审4个月左右给结果，大修2个半月给结果不含糊，小修1个月内给结果不含糊。 模式识别领域，除了变态的顶级期刊外，属于最好的的期刊了。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=30155414112, createdName=ms5532630230796179, createdTime=Fri Mar 17 15:03:46 CST 2017, time=2017-03-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=834741, encodeId=79c6834e412c, content=审稿速度:8.0 经验分享：tip侧重于低层的的数字图像和视频的处理；pr偏重于模式识别；cviu重点是计算机视觉！所以他们各有侧重，难分伯仲! , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=79425414132, createdName=ms5047990432985118, createdTime=Fri Nov 25 16:29:20 CST 2016, time=2016-11-25, status=1, ipAttribution=)]

2018-08-12 ms8472206870533718

2017年10月初投递的关于模式分类论文，2018年8月中旬收到意见，感觉意见也不是很大，拒稿重投。审稿时间太长，感觉有点不负责任，还是自己运气问题。

50 0

[GetPortalCommentsPageByObjectIdResponse(id=852794, encodeId=087a852e946b, content=已投稿40天，期间有两次with editor，不见editor invited，应该是很慢了 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=72, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=7eed5414136, createdName=ms3195791918035402, createdTime=Thu Jul 25 00:16:23 CST 2019, time=2019-07-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852309, encodeId=fa7685230988, content=审稿速度不稳定，已投4个月暂无任何消息。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Jun 30 15:47:56 CST 2019, time=2019-06-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=849666, encodeId=55e084966678, content=这个期刊曾经是模式识别中除pami ijcv jlmr以外第四的刊物，国内有一些学者1998-2004年间仅有两三篇pr就获封杰青，可以看出其分量。应该是比较传统的期刊，因此各方面兼备，并不是那种追求时尚火热的刊物。同样的类似iop measurement science and technology，国内早期杰青有些也是靠这个刊物上位的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=52, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=93775414031, createdName=ms1011445849213233, createdTime=Tue Feb 12 15:16:52 CST 2019, time=2019-02-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=846149, encodeId=6e4f84614924, content=2017年10月初投递的关于模式分类论文，2018年8月中旬收到意见，感觉意见也不是很大，拒稿重投。审稿时间太长，感觉有点不负责任，还是自己运气问题。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=50, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Aug 12 18:31:05 CST 2018, time=2018-08-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=845368, encodeId=88f7845368f8, content=审稿速度:2.0 经验分享：上一楼的说法有点偏颇，这个期刊在我心中还是很厉害的期刊的。诚然当前深度学习已经火到约等于人工智能，但泡沫太大，pr在这方面还是蛮理智的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8c235413991, createdName=ms2848770090237977, createdTime=Mon Jul 16 15:59:41 CST 2018, time=2018-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844620, encodeId=c69c84462004, content=哎，期刊总体思路比较传统，还是经典模式识别领域的论文较多，未能及时跟上人工智能识别的步伐，所以if今年下降了，需要及时转型，总体讲还是2区不错的期刊。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=40, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=b1ed5414045, createdName=ms1700929302443684, createdTime=Fri Jun 29 20:06:15 CST 2018, time=2018-06-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=841627, encodeId=19d984162e07, content=投了一篇高光谱分类，半个月后通知主题不符被拒，给编辑发信，编辑叫重投。然后又重投，半个月后又说主题不符被拒。**。。。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=48, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ea935414137, createdName=ms8928334115937663, createdTime=Sun Mar 18 16:35:57 CST 2018, time=2018-03-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=551431, encodeId=eacf55143190, content=审稿速度:3.0 | 投稿命中率:25.0 经验分享：我觉得这个期刊还行，努力一把还是可以中的！曾经中过一篇！, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=271, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5c742000720, createdName=atease123, createdTime=Tue Jan 16 10:05:00 CST 2018, time=2018-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=835899, encodeId=1977835899ae, content=投稿到一审花了将近4个月，大修； 修回花了2个半月，技术接收，小修； 修回1个月，正式录用。 总共8个月录用。 最大的特点是，非常准时，花了1个月编辑审稿找审稿人，初审4个月左右给结果，大修2个半月给结果不含糊，小修1个月内给结果不含糊。 模式识别领域，除了变态的顶级期刊外，属于最好的的期刊了。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=30155414112, createdName=ms5532630230796179, createdTime=Fri Mar 17 15:03:46 CST 2017, time=2017-03-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=834741, encodeId=79c6834e412c, content=审稿速度:8.0 经验分享：tip侧重于低层的的数字图像和视频的处理；pr偏重于模式识别；cviu重点是计算机视觉！所以他们各有侧重，难分伯仲! , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=79425414132, createdName=ms5047990432985118, createdTime=Fri Nov 25 16:29:20 CST 2016, time=2016-11-25, status=1, ipAttribution=)]

2018-07-16 ms2848770090237977

审稿速度:2.0
经验分享：上一楼的说法有点偏颇，这个期刊在我心中还是很厉害的期刊的。诚然当前深度学习已经火到约等于人工智能，但泡沫太大，pr在这方面还是蛮理智的

36 0

[GetPortalCommentsPageByObjectIdResponse(id=852794, encodeId=087a852e946b, content=已投稿40天，期间有两次with editor，不见editor invited，应该是很慢了 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=72, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=7eed5414136, createdName=ms3195791918035402, createdTime=Thu Jul 25 00:16:23 CST 2019, time=2019-07-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852309, encodeId=fa7685230988, content=审稿速度不稳定，已投4个月暂无任何消息。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Jun 30 15:47:56 CST 2019, time=2019-06-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=849666, encodeId=55e084966678, content=这个期刊曾经是模式识别中除pami ijcv jlmr以外第四的刊物，国内有一些学者1998-2004年间仅有两三篇pr就获封杰青，可以看出其分量。应该是比较传统的期刊，因此各方面兼备，并不是那种追求时尚火热的刊物。同样的类似iop measurement science and technology，国内早期杰青有些也是靠这个刊物上位的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=52, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=93775414031, createdName=ms1011445849213233, createdTime=Tue Feb 12 15:16:52 CST 2019, time=2019-02-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=846149, encodeId=6e4f84614924, content=2017年10月初投递的关于模式分类论文，2018年8月中旬收到意见，感觉意见也不是很大，拒稿重投。审稿时间太长，感觉有点不负责任，还是自己运气问题。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=50, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Aug 12 18:31:05 CST 2018, time=2018-08-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=845368, encodeId=88f7845368f8, content=审稿速度:2.0 经验分享：上一楼的说法有点偏颇，这个期刊在我心中还是很厉害的期刊的。诚然当前深度学习已经火到约等于人工智能，但泡沫太大，pr在这方面还是蛮理智的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8c235413991, createdName=ms2848770090237977, createdTime=Mon Jul 16 15:59:41 CST 2018, time=2018-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844620, encodeId=c69c84462004, content=哎，期刊总体思路比较传统，还是经典模式识别领域的论文较多，未能及时跟上人工智能识别的步伐，所以if今年下降了，需要及时转型，总体讲还是2区不错的期刊。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=40, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=b1ed5414045, createdName=ms1700929302443684, createdTime=Fri Jun 29 20:06:15 CST 2018, time=2018-06-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=841627, encodeId=19d984162e07, content=投了一篇高光谱分类，半个月后通知主题不符被拒，给编辑发信，编辑叫重投。然后又重投，半个月后又说主题不符被拒。**。。。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=48, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ea935414137, createdName=ms8928334115937663, createdTime=Sun Mar 18 16:35:57 CST 2018, time=2018-03-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=551431, encodeId=eacf55143190, content=审稿速度:3.0 | 投稿命中率:25.0 经验分享：我觉得这个期刊还行，努力一把还是可以中的！曾经中过一篇！, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=271, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5c742000720, createdName=atease123, createdTime=Tue Jan 16 10:05:00 CST 2018, time=2018-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=835899, encodeId=1977835899ae, content=投稿到一审花了将近4个月，大修； 修回花了2个半月，技术接收，小修； 修回1个月，正式录用。 总共8个月录用。 最大的特点是，非常准时，花了1个月编辑审稿找审稿人，初审4个月左右给结果，大修2个半月给结果不含糊，小修1个月内给结果不含糊。 模式识别领域，除了变态的顶级期刊外，属于最好的的期刊了。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=30155414112, createdName=ms5532630230796179, createdTime=Fri Mar 17 15:03:46 CST 2017, time=2017-03-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=834741, encodeId=79c6834e412c, content=审稿速度:8.0 经验分享：tip侧重于低层的的数字图像和视频的处理；pr偏重于模式识别；cviu重点是计算机视觉！所以他们各有侧重，难分伯仲! , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=79425414132, createdName=ms5047990432985118, createdTime=Fri Nov 25 16:29:20 CST 2016, time=2016-11-25, status=1, ipAttribution=)]

2018-06-29 ms1700929302443684

哎，期刊总体思路比较传统，还是经典模式识别领域的论文较多，未能及时跟上人工智能识别的步伐，所以if今年下降了，需要及时转型，总体讲还是2区不错的期刊。

40 0

[GetPortalCommentsPageByObjectIdResponse(id=852794, encodeId=087a852e946b, content=已投稿40天，期间有两次with editor，不见editor invited，应该是很慢了 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=72, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=7eed5414136, createdName=ms3195791918035402, createdTime=Thu Jul 25 00:16:23 CST 2019, time=2019-07-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852309, encodeId=fa7685230988, content=审稿速度不稳定，已投4个月暂无任何消息。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Jun 30 15:47:56 CST 2019, time=2019-06-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=849666, encodeId=55e084966678, content=这个期刊曾经是模式识别中除pami ijcv jlmr以外第四的刊物，国内有一些学者1998-2004年间仅有两三篇pr就获封杰青，可以看出其分量。应该是比较传统的期刊，因此各方面兼备，并不是那种追求时尚火热的刊物。同样的类似iop measurement science and technology，国内早期杰青有些也是靠这个刊物上位的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=52, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=93775414031, createdName=ms1011445849213233, createdTime=Tue Feb 12 15:16:52 CST 2019, time=2019-02-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=846149, encodeId=6e4f84614924, content=2017年10月初投递的关于模式分类论文，2018年8月中旬收到意见，感觉意见也不是很大，拒稿重投。审稿时间太长，感觉有点不负责任，还是自己运气问题。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=50, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Aug 12 18:31:05 CST 2018, time=2018-08-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=845368, encodeId=88f7845368f8, content=审稿速度:2.0 经验分享：上一楼的说法有点偏颇，这个期刊在我心中还是很厉害的期刊的。诚然当前深度学习已经火到约等于人工智能，但泡沫太大，pr在这方面还是蛮理智的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8c235413991, createdName=ms2848770090237977, createdTime=Mon Jul 16 15:59:41 CST 2018, time=2018-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844620, encodeId=c69c84462004, content=哎，期刊总体思路比较传统，还是经典模式识别领域的论文较多，未能及时跟上人工智能识别的步伐，所以if今年下降了，需要及时转型，总体讲还是2区不错的期刊。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=40, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=b1ed5414045, createdName=ms1700929302443684, createdTime=Fri Jun 29 20:06:15 CST 2018, time=2018-06-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=841627, encodeId=19d984162e07, content=投了一篇高光谱分类，半个月后通知主题不符被拒，给编辑发信，编辑叫重投。然后又重投，半个月后又说主题不符被拒。**。。。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=48, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ea935414137, createdName=ms8928334115937663, createdTime=Sun Mar 18 16:35:57 CST 2018, time=2018-03-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=551431, encodeId=eacf55143190, content=审稿速度:3.0 | 投稿命中率:25.0 经验分享：我觉得这个期刊还行，努力一把还是可以中的！曾经中过一篇！, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=271, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5c742000720, createdName=atease123, createdTime=Tue Jan 16 10:05:00 CST 2018, time=2018-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=835899, encodeId=1977835899ae, content=投稿到一审花了将近4个月，大修； 修回花了2个半月，技术接收，小修； 修回1个月，正式录用。 总共8个月录用。 最大的特点是，非常准时，花了1个月编辑审稿找审稿人，初审4个月左右给结果，大修2个半月给结果不含糊，小修1个月内给结果不含糊。 模式识别领域，除了变态的顶级期刊外，属于最好的的期刊了。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=30155414112, createdName=ms5532630230796179, createdTime=Fri Mar 17 15:03:46 CST 2017, time=2017-03-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=834741, encodeId=79c6834e412c, content=审稿速度:8.0 经验分享：tip侧重于低层的的数字图像和视频的处理；pr偏重于模式识别；cviu重点是计算机视觉！所以他们各有侧重，难分伯仲! , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=79425414132, createdName=ms5047990432985118, createdTime=Fri Nov 25 16:29:20 CST 2016, time=2016-11-25, status=1, ipAttribution=)]

2018-03-18 ms8928334115937663

投了一篇高光谱分类，半个月后通知主题不符被拒，给编辑发信，编辑叫重投。然后又重投，半个月后又说主题不符被拒。**。。。

48 0

[GetPortalCommentsPageByObjectIdResponse(id=852794, encodeId=087a852e946b, content=已投稿40天，期间有两次with editor，不见editor invited，应该是很慢了 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=72, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=7eed5414136, createdName=ms3195791918035402, createdTime=Thu Jul 25 00:16:23 CST 2019, time=2019-07-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852309, encodeId=fa7685230988, content=审稿速度不稳定，已投4个月暂无任何消息。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Jun 30 15:47:56 CST 2019, time=2019-06-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=849666, encodeId=55e084966678, content=这个期刊曾经是模式识别中除pami ijcv jlmr以外第四的刊物，国内有一些学者1998-2004年间仅有两三篇pr就获封杰青，可以看出其分量。应该是比较传统的期刊，因此各方面兼备，并不是那种追求时尚火热的刊物。同样的类似iop measurement science and technology，国内早期杰青有些也是靠这个刊物上位的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=52, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=93775414031, createdName=ms1011445849213233, createdTime=Tue Feb 12 15:16:52 CST 2019, time=2019-02-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=846149, encodeId=6e4f84614924, content=2017年10月初投递的关于模式分类论文，2018年8月中旬收到意见，感觉意见也不是很大，拒稿重投。审稿时间太长，感觉有点不负责任，还是自己运气问题。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=50, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Aug 12 18:31:05 CST 2018, time=2018-08-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=845368, encodeId=88f7845368f8, content=审稿速度:2.0 经验分享：上一楼的说法有点偏颇，这个期刊在我心中还是很厉害的期刊的。诚然当前深度学习已经火到约等于人工智能，但泡沫太大，pr在这方面还是蛮理智的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8c235413991, createdName=ms2848770090237977, createdTime=Mon Jul 16 15:59:41 CST 2018, time=2018-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844620, encodeId=c69c84462004, content=哎，期刊总体思路比较传统，还是经典模式识别领域的论文较多，未能及时跟上人工智能识别的步伐，所以if今年下降了，需要及时转型，总体讲还是2区不错的期刊。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=40, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=b1ed5414045, createdName=ms1700929302443684, createdTime=Fri Jun 29 20:06:15 CST 2018, time=2018-06-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=841627, encodeId=19d984162e07, content=投了一篇高光谱分类，半个月后通知主题不符被拒，给编辑发信，编辑叫重投。然后又重投，半个月后又说主题不符被拒。**。。。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=48, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ea935414137, createdName=ms8928334115937663, createdTime=Sun Mar 18 16:35:57 CST 2018, time=2018-03-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=551431, encodeId=eacf55143190, content=审稿速度:3.0 | 投稿命中率:25.0 经验分享：我觉得这个期刊还行，努力一把还是可以中的！曾经中过一篇！, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=271, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5c742000720, createdName=atease123, createdTime=Tue Jan 16 10:05:00 CST 2018, time=2018-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=835899, encodeId=1977835899ae, content=投稿到一审花了将近4个月，大修； 修回花了2个半月，技术接收，小修； 修回1个月，正式录用。 总共8个月录用。 最大的特点是，非常准时，花了1个月编辑审稿找审稿人，初审4个月左右给结果，大修2个半月给结果不含糊，小修1个月内给结果不含糊。 模式识别领域，除了变态的顶级期刊外，属于最好的的期刊了。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=30155414112, createdName=ms5532630230796179, createdTime=Fri Mar 17 15:03:46 CST 2017, time=2017-03-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=834741, encodeId=79c6834e412c, content=审稿速度:8.0 经验分享：tip侧重于低层的的数字图像和视频的处理；pr偏重于模式识别；cviu重点是计算机视觉！所以他们各有侧重，难分伯仲! , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=79425414132, createdName=ms5047990432985118, createdTime=Fri Nov 25 16:29:20 CST 2016, time=2016-11-25, status=1, ipAttribution=)]

2018-01-16 atease123

审稿速度:3.0 | 投稿命中率:25.0
经验分享：我觉得这个期刊还行，努力一把还是可以中的！曾经中过一篇！

271 0

[GetPortalCommentsPageByObjectIdResponse(id=852794, encodeId=087a852e946b, content=已投稿40天，期间有两次with editor，不见editor invited，应该是很慢了 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=72, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=7eed5414136, createdName=ms3195791918035402, createdTime=Thu Jul 25 00:16:23 CST 2019, time=2019-07-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852309, encodeId=fa7685230988, content=审稿速度不稳定，已投4个月暂无任何消息。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Jun 30 15:47:56 CST 2019, time=2019-06-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=849666, encodeId=55e084966678, content=这个期刊曾经是模式识别中除pami ijcv jlmr以外第四的刊物，国内有一些学者1998-2004年间仅有两三篇pr就获封杰青，可以看出其分量。应该是比较传统的期刊，因此各方面兼备，并不是那种追求时尚火热的刊物。同样的类似iop measurement science and technology，国内早期杰青有些也是靠这个刊物上位的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=52, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=93775414031, createdName=ms1011445849213233, createdTime=Tue Feb 12 15:16:52 CST 2019, time=2019-02-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=846149, encodeId=6e4f84614924, content=2017年10月初投递的关于模式分类论文，2018年8月中旬收到意见，感觉意见也不是很大，拒稿重投。审稿时间太长，感觉有点不负责任，还是自己运气问题。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=50, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Aug 12 18:31:05 CST 2018, time=2018-08-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=845368, encodeId=88f7845368f8, content=审稿速度:2.0 经验分享：上一楼的说法有点偏颇，这个期刊在我心中还是很厉害的期刊的。诚然当前深度学习已经火到约等于人工智能，但泡沫太大，pr在这方面还是蛮理智的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8c235413991, createdName=ms2848770090237977, createdTime=Mon Jul 16 15:59:41 CST 2018, time=2018-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844620, encodeId=c69c84462004, content=哎，期刊总体思路比较传统，还是经典模式识别领域的论文较多，未能及时跟上人工智能识别的步伐，所以if今年下降了，需要及时转型，总体讲还是2区不错的期刊。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=40, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=b1ed5414045, createdName=ms1700929302443684, createdTime=Fri Jun 29 20:06:15 CST 2018, time=2018-06-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=841627, encodeId=19d984162e07, content=投了一篇高光谱分类，半个月后通知主题不符被拒，给编辑发信，编辑叫重投。然后又重投，半个月后又说主题不符被拒。**。。。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=48, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ea935414137, createdName=ms8928334115937663, createdTime=Sun Mar 18 16:35:57 CST 2018, time=2018-03-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=551431, encodeId=eacf55143190, content=审稿速度:3.0 | 投稿命中率:25.0 经验分享：我觉得这个期刊还行，努力一把还是可以中的！曾经中过一篇！, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=271, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5c742000720, createdName=atease123, createdTime=Tue Jan 16 10:05:00 CST 2018, time=2018-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=835899, encodeId=1977835899ae, content=投稿到一审花了将近4个月，大修； 修回花了2个半月，技术接收，小修； 修回1个月，正式录用。 总共8个月录用。 最大的特点是，非常准时，花了1个月编辑审稿找审稿人，初审4个月左右给结果，大修2个半月给结果不含糊，小修1个月内给结果不含糊。 模式识别领域，除了变态的顶级期刊外，属于最好的的期刊了。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=30155414112, createdName=ms5532630230796179, createdTime=Fri Mar 17 15:03:46 CST 2017, time=2017-03-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=834741, encodeId=79c6834e412c, content=审稿速度:8.0 经验分享：tip侧重于低层的的数字图像和视频的处理；pr偏重于模式识别；cviu重点是计算机视觉！所以他们各有侧重，难分伯仲! , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=79425414132, createdName=ms5047990432985118, createdTime=Fri Nov 25 16:29:20 CST 2016, time=2016-11-25, status=1, ipAttribution=)]

2017-03-17 ms5532630230796179

投稿到一审花了将近4个月，大修；
修回花了2个半月，技术接收，小修；
修回1个月，正式录用。
总共8个月录用。
最大的特点是，非常准时，花了1个月编辑审稿找审稿人，初审4个月左右给结果，大修2个半月给结果不含糊，小修1个月内给结果不含糊。
模式识别领域，除了变态的顶级期刊外，属于最好的的期刊了。

42 0

[GetPortalCommentsPageByObjectIdResponse(id=852794, encodeId=087a852e946b, content=已投稿40天，期间有两次with editor，不见editor invited，应该是很慢了 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=72, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=7eed5414136, createdName=ms3195791918035402, createdTime=Thu Jul 25 00:16:23 CST 2019, time=2019-07-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852309, encodeId=fa7685230988, content=审稿速度不稳定，已投4个月暂无任何消息。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Jun 30 15:47:56 CST 2019, time=2019-06-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=849666, encodeId=55e084966678, content=这个期刊曾经是模式识别中除pami ijcv jlmr以外第四的刊物，国内有一些学者1998-2004年间仅有两三篇pr就获封杰青，可以看出其分量。应该是比较传统的期刊，因此各方面兼备，并不是那种追求时尚火热的刊物。同样的类似iop measurement science and technology，国内早期杰青有些也是靠这个刊物上位的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=52, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=93775414031, createdName=ms1011445849213233, createdTime=Tue Feb 12 15:16:52 CST 2019, time=2019-02-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=846149, encodeId=6e4f84614924, content=2017年10月初投递的关于模式分类论文，2018年8月中旬收到意见，感觉意见也不是很大，拒稿重投。审稿时间太长，感觉有点不负责任，还是自己运气问题。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=50, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=4e1d5414047, createdName=ms8472206870533718, createdTime=Sun Aug 12 18:31:05 CST 2018, time=2018-08-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=845368, encodeId=88f7845368f8, content=审稿速度:2.0 经验分享：上一楼的说法有点偏颇，这个期刊在我心中还是很厉害的期刊的。诚然当前深度学习已经火到约等于人工智能，但泡沫太大，pr在这方面还是蛮理智的 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8c235413991, createdName=ms2848770090237977, createdTime=Mon Jul 16 15:59:41 CST 2018, time=2018-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844620, encodeId=c69c84462004, content=哎，期刊总体思路比较传统，还是经典模式识别领域的论文较多，未能及时跟上人工智能识别的步伐，所以if今年下降了，需要及时转型，总体讲还是2区不错的期刊。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=40, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=b1ed5414045, createdName=ms1700929302443684, createdTime=Fri Jun 29 20:06:15 CST 2018, time=2018-06-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=841627, encodeId=19d984162e07, content=投了一篇高光谱分类，半个月后通知主题不符被拒，给编辑发信，编辑叫重投。然后又重投，半个月后又说主题不符被拒。**。。。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=48, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ea935414137, createdName=ms8928334115937663, createdTime=Sun Mar 18 16:35:57 CST 2018, time=2018-03-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=551431, encodeId=eacf55143190, content=审稿速度:3.0 | 投稿命中率:25.0 经验分享：我觉得这个期刊还行，努力一把还是可以中的！曾经中过一篇！, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=271, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5c742000720, createdName=atease123, createdTime=Tue Jan 16 10:05:00 CST 2018, time=2018-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=835899, encodeId=1977835899ae, content=投稿到一审花了将近4个月，大修； 修回花了2个半月，技术接收，小修； 修回1个月，正式录用。 总共8个月录用。 最大的特点是，非常准时，花了1个月编辑审稿找审稿人，初审4个月左右给结果，大修2个半月给结果不含糊，小修1个月内给结果不含糊。 模式识别领域，除了变态的顶级期刊外，属于最好的的期刊了。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=30155414112, createdName=ms5532630230796179, createdTime=Fri Mar 17 15:03:46 CST 2017, time=2017-03-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=834741, encodeId=79c6834e412c, content=审稿速度:8.0 经验分享：tip侧重于低层的的数字图像和视频的处理；pr偏重于模式识别；cviu重点是计算机视觉！所以他们各有侧重，难分伯仲! , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=79425414132, createdName=ms5047990432985118, createdTime=Fri Nov 25 16:29:20 CST 2016, time=2016-11-25, status=1, ipAttribution=)]

2016-11-25 ms5047990432985118

审稿速度:8.0
经验分享：tip侧重于低层的的数字图像和视频的处理；pr偏重于模式识别；cviu重点是计算机视觉！所以他们各有侧重，难分伯仲!

42 0

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