张煜东(1985-)，男，博士后，南京师范大学信息科学与技术学院教授。研究方向：专家系统、数据挖掘、软计算、医学信号处理。2004年获南京航空航天大学信息科学学士学位，2007年获南京航空航天大学通信与信息系统硕士学位，2010年获东南大学信号与信息处理博士学位。从2010年至2012年，在哥伦比亚大学从事博士后工作。从2012年至2013年,在哥伦比亚大学、纽约州立精神病研究院(隶属于哥伦比亚-康奈尔联合医院)工作，职位是助理研究员。发表国际顶级期刊论文26篇，均被SCI检索。截至2013年9月，Google引文数1458，h指数24，i10指数51。 张煜东教授是2013年系统控制仿真与模型国际会议的荣誉主席，2012年电气电子工程国际会议的程序主席。他是下列期刊的客座主编：Mathematical Problems in Engineering (影响因子: 383)、The Scientific World Journal (影响因子: 730)、Sensors (影响因子: 953)。他是下列会议的技术程序委员会委员: 2013年人工智能和数据挖掘会议，第2届计算机应用和系统建模、第2届管理制造材料工程会议。
你是要全部啊，总有一个大概的范围之类的吧，像什么类型什么方向。
每门学科都会有一本，或两本顶尖的。在这些里面又有一些闻名于世的，就是世界顶尖刊物了。
发表的主要学术论文:[1] Hong Liu, Zilin Liang, Qianru Sun, “Robust Tracking with Discriminative Ranking Middle-level Patches”, International Journal of Advanced Robotic Systems (IJARS), 11:68, 2014, doi: 5772/ （智能机器人领域重要国际期刊）[2] Can Wang, Hong Liu, Liqian Ma, “Depth Motion Detection - A Novel RS-Trigger Temporal Logic based Method”, IEEE Signal Processing Letters (SPL), 21(6): 717-721, （信号处理领域重要国际期刊）[3] Can Wang, Hong Liu, Yuan Gao, “Scene-Adaptive Hierarchical Data Association for Multiple Objects Tracking”, IEEE Signal Processing Letter(SPL), 21(6): 697-701, （信号处理领域重要国际期刊）[4] Xiaozhao Fang, Yong Xu, Xuelong Li, Zizhu Fan, Hong Liu, Yan Chen,“Locality and Similarity Preserving Embedding for Feature Selection”, Neurocomputing, 128, 304-315, March, （人工智能领域重要国际期刊）[5] Yong Xu, Xiaozhao Fang, Qi Zhu, Yan Chen, Jane You, Hong Liu: “Modified Minimum Squared Error Algorithm for Robust Classification and Face Recognition Experiments”, Neurocomputing, 135, 253-261, （人工智能领域重要国际期刊）[6]Hong Liu, Ting Fan, Pingping Wu, “Audio-visual Keyword Spotting for Mandarin Based on Discriminative Local Spatial-temporal Descriptors”, International Conference on Pattern Recognition (ICPR), August24-28,2014, Stockholm, S（模式识别领域重要国际会议）[7] Hong Liu, Yuan Gao, Pingping Wu, “Smile Detection in Unconstrained Scenarios Using Self-Similarity of Gradients Features”, International Conference on Image Processing (ICIP), October 27-30, 2014, Paris, F（图像处理领域重要国际会议）[8] Hong Liu, Yuan Gao, Can Wang, “Gender Identification in Unconstrained Scenarios Using Self-Similarity of Gradients Features”, International Conference on Image Processing (ICIP), October 27-30, 2014, Paris, F （图像处理领域重要国际会议）[9] Mengyuan Liu, Hong Liu, Qianru Sun, “Action Classification by Exploring Directional Co-occurrence of Weighted STIPS”, International Conference on Image Processing (ICIP), October 27-30, 2014, Paris, F（图像处理领域重要国际会议）[10] Hong Liu, Jie Zhang, ZhuoFu, “A New Hierarchical Binaural Sound Source Localization Method Based on Interaural Matching Filter”, IEEE International Conference on Robotics and Automation (ICRA), 1598-1605, May 31 - June 7, Hong Kong, （智能机器人领域顶级国际会议）[11] Hong Liu, Ting Fan, Pingping Wu, “Audio-visual Keyword Spotting Based on Adaptive Decision Fusion under Noisy Conditions for Human-Robot Interaction”, IEEE International Conference on Robotics and Automation (ICRA), 6644-6651, May 31 - June 7, Hong Kong, （智能机器人领域顶级国际会议）[12] Hong Liu, Jie Zhang, “A Binaural Sound Source Localization Model Based on Time-Delay Compensation and Interaural Coherence”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1438-1442, May 4-9, 2014, Florence, I （语音信号领域顶级国际会议）[13] Mengyuan Liu, Hong Liu, Qianru Sun, “Learning Directional Co-occurrence for Human Action Classification”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , 1244-1248, May 4-9, 2014, Florence, I （语音信号领域顶级国际会议）[14] Pingping Wu, Hong Liu, Xuewu Zhang, “Spontaneous Versus Posed Smile Recognition Using Discriminative Local Spatial-temporal Descriptors”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , 1249-1253, May 4-9, 2014, Florence, I （语音信号领域顶级国际会议）[15] Xiaofei Li, Hong Liu, “Sound Source Localization for HRI Using FOC-based Time Difference Feature and Spatial Grid Matching”, IEEE Transactions on Cybernetics(TCYB), 43(4):1199-1212, （智能控制领域顶级国际期刊）[16] Yangxi Li, Chao Zhou, Bo Geng, Chao Xu, Hong Liu, “A Comprehensive Study on Learning to Rank for Content-based Image Retrieval”, Signal Processing(SP), 93(6): 1426-1434 , （信号处理领域顶级国际期刊）[17] Yong Xu, Qi Zhu, Zizhu Fan, Minna Qiu, Yan Chen, Hong Liu, “Coarse to Fine K Nearest Neighbor Classifier”, Pattern Recognition Letters(PR Letters), 34(9): 980-986, （模式识别领域重要国际期刊）[18] Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu, Yonggang Wen, “Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification”, IEEE T Neural Networks and Learning Systems(TNNLS), 24(5): 709-722, （智能控制领域顶级国际期刊）[19] Yong Xu, Xingjie Zhu, Zhengming Li, Guang-Hai Liu, Yuwu Lu, Hong Liu, “Using the Original and ‘Symmetrical Face’ Training Samples to Perform Representation based Two-step Face Recognition”, Pattern Recognition (PR), 46(4): 1151-1158, （模式识别领域顶级国际期刊）[20] Hong Liu, Can Wang, “Hierarchical Data Association and Depth-Invariant Appearance Model for Indoor Multiple Objects Tracking”, IEEE International Conference on Image Processing (ICIP), 2635-2639, September 15-18, 2013, Melbourne, A （图像处理领域重要国际会议）[21] Hong Liu, Xing Liu, “Robust Hands Tracking Based on Online Learning and Multi-cue Flocks of Features”, IEEE International Conference on Image Processing (ICIP), 3725-3729,September 15-18, 2013, Melbourne, A（图像处理领域重要国际会议）[22] Can Wang, Hong Liu, “Unusual Events Detection based on Multi-Dictionary Sparse Representation using Kinect”, International Conference on Image Processing (ICIP), 2968–2972,September 15-18, 2013, Melbourne, A（图像处理领域重要国际会议）[23] Can Wang, Hong L Xing Liu, “Maximally Stable Curvature Regions for 3D Hand Tracking”, International Conference on Image Processing (ICIP), 3895–3899 ,September 15-18, 2013, Melbourne, A（图像处理领域重要国际会议）[24] Qianru Sun, Hong Liu, “Learning Spatio-Temporal Co-occurrence Correlograms for Efficient Human Action Classification”, IEEE International Conference on Image Processing (ICIP), 3220-3224,September 15-18, 2013, Melbourne, A（图像处理领域重要国际会议）[25] Qianru Sun, Hong Liu, “Inferring Ongoing Human Activities Based on Recurrent Self-Organizing Map Trajectory”, the 24th British Machine Vision Conference(BMVC), 1-10, September 9-13, 2013, Bristol, B （计算机视觉领域重要国际会议）[26] Can Wang, Hong Liu, “Salient-motion-heuristic Scheme for Fast 3D Optical Flow Estimation using RGB-D”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2272–2276, May 26-31, 2013, Vancouver, C（语音信号领域顶级国际会议）[27] Hong Liu, Zhuo Fu, Xiaofei Li, “A Time-Delay Compensation Based Two-layer Probabilistic Model For Binaural Sound Localization”, IEEE International Conference on Robotics and Automation (ICRA), 2690-2697, May 6-10, 2013, Karlsruhe, G （智能机器人领域顶级国际会议）[28] Xiaofei Li, Miao Shen, Wenmin Wang, Hong Liu, “Real-time Sound Source Localization for Mobile Robot Based on Guided Spectral-Temporal Position Method”, International Journal of Advanced Robotic Systems (IJARS), 9:78, 2012, doi: 5772/（智能机器人领域重要国际期刊）[29] Hong Liu, Qing Sun, Tianwei Zhang, “Hierarchical RRT for Humanoid Robot Footstep Planning with Multiple Constraints in Complex Environments”, IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), 3187-3194, October 7-12, 2012, Vilamoura, Algarve, P （智能机器人领域顶级国际会议）[30] Hong Liu, Tianwei Zhang, Chuangqi Wang, “A ’Capacitor’ Bridge Builder Based Safe Path Planner for Difficult Regions Identification in Changing Environments”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3179-3186, October 7-12, 2012, Vilamoura, Algarve, P（智能机器人领域顶级国际会议）[31] Hong Liu, Qianru Sun, “Action Disambiguation Analysis Using Normalized Google-Like Distance Correlogram”, The 11th Asian Conference on Computer Vision (ACCV), 425-437, November 5-9, 2012, Daejeon, K（计算机视觉领域重要国际会议）[32] Hong Liu, Jiang Li, “Unsupervised Multi-Target Trajectory Detection, Learning and Analysis in Complicated Environments”, 21st International Conference on Pattern Recognition(ICPR), 3716-3720, November 11-15, 2012, Tsukuba Science City, J（模式识别领域重要国际会议）[33] Hong Liu, Xiaofei Li, “Time Delay Estimation for Speech Signal Based on FOC-Spectrum”, International Conference on INTERSPEECH, 1730-1733, September 9-13, 2012, Portland, USA（语音信号领域顶级国际会议）[34] Hong Liu, Pingping Wu, “Comparison of Methods for Smile Deceit Detection by Training Au6 and Au12 Simultaneously”, IEEE International Conference on Image Processing (ICIP), 1805-1808, September 30-October 3, 2012, Florida, USA（图像处理领域重要国际会议）[35] Xiaofei Li, Hong Liu, Xuesong Yang, “Sound Source Localization for Human-Robot Interaction Based on Spatial Distribution of Time Difference Feature and Grid Matching”, IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), 2879-2886, September 25-30, 2011, San Francisco, CA, USA （智能机器人领域顶级国际会议）[36] Zheyuan Li, Hong Liu, “Real-time Human Tracking Based on Switching Linear Dynamic System Combined with Adaptive Meanshift Tracker”, IEEE/RSJ International Conference on Image Processing (ICIP ), 329-2332, September 11-14, 2011, Brussels, B （图像处理领域重要国际会议）[37] Hong Liu, Weiwei Wan, “A Dynamic Subgoal Path Planner for Unpredictable Environments”, IEEE International Conference on Robotics and Automation (ICRA), 994-1001,May 3-8, 2010, Anchorage, Alaska, USA （智能机器人领域顶级国际会议）[38] Hong Liu, Huijun He, “A Salient Feature and Scene Semantics based Attention Model for Human Tracking on Mobile Robot”, IEEE International Conference on Robotics and Automation(ICRA), 4545-4552, May 3-8, 2010, Anchorage, Alaska, USA （智能机器人领域顶级国际会议）[39] Hong Liu, Miao Shen, “Continuous Sound Source Localization based on Microphone Array for Mobile Robots”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 4332-4339, 2010, October 18-22, Taipei, T （智能机器人领域顶级国际会议）[40] Hong Liu, Weiwei Wan, “Adaptive Replanning in Hard Changing Environment”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 5912-5918, O 18-22, 2010, Taipei, T（智能机器人领域顶级国际会议）[41] Hong Liu, Weiwei Wan, Ying Shi, “Collaboration of Spatial and Feature Attention for Visual Tracking”, IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), 2985-2992, October 10-15, 2009, SLouis, USA（智能机器人领域顶级国际会议）[42] Hong Liu, He Wen, Yan Li, “Path Planning in Changing Environments by Using Optimal Path Segment Search”, IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), 1439-1445, October 10-15, 2009, SLouis, USA （智能机器人领域顶级国际会议）[43] Hong Liu, Ze Yu, Hongbin Zha, Yuexian Zou, “Robust Human Tracking Based on Multi-Cue Integration and Mean Shift”, Pattern Recognition Letters(PR Letters), 30(9): 827-837, （模式识别领域重要国际期刊）[44] Ying Shi, Hong Liu, Yi Liu, Hongbin Zha, “Adaptive Feature-Spatial Representation for Mean-Shift Tracker”, IEEE International Conference on Image Processing (ICIP), 2012-2015, , October 12-15, 2008, San Diego, CA, USA （图像处理领域重要国际会议）[45] Zhijun Li, Weidong Chen, Hong Liu, “Robust Control of Wheeled Mobile Manipulators Using Hybrid Joints”, International Journal of Advanced Robotic System(IJARS), 5(1):83-90, March, （智能机器人领域重要国际期刊）[46] Hong Liu, Ding Ding, Weiwei Wan, Hongbin Zha, “Predictive Model for Path Planning by Using K-near Dynamic Bridge Builder and Inner Parzen Window”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS ), 2033-2138, September 22-26, 2008, Nice, F （智能机器人领域顶级国际会议）[47] Hong Liu, Qi Wu, Hongbin Zha, Xueping Liu, “Skew Detection for Complex Document Images Using Robust Borderlines in Both Text and Non-text Regions”, Pattern Recognition Letters(PR Letters), 29(13):1893-1900, October, （模式识别领域重要国际期刊）
ieee trans AC 是自动控制领域的顶级期刊 IEEE Transactions on Automatic Control该杂志中的Regular paper和Technical Notes有何区别？为什么有些科研机构不认可后者？ 原因是重要性不同呀。另外，TN一般要求限制在4页内。Regular paper比Technical Notes要长的多啊，长文一般更能体现研究者的扎实程度，Technical Notes主要是要有创新性和前瞻性，有点类似letter
《有机化学》是最新版的北大中文核心期刊，核心期刊一般需要3审。再等等，就会有审稿结果。这个期刊投稿难度大，被拒的可能性也大。如果没有采用，可以投其他核心期刊。附简介；《有机化学》（月刊）创刊于1980年，由中国化学会、中国科学院上海有机化学研究所主办资料。
在《Nature》上发表一篇论文基本上属于大学教授级别(水平）。《Nature》和《Science》属于顶尖科学杂志,按SCI影响因子算两杂志都有30多分。《Nature》是世界上历史悠久的、最有名望的科学杂志之一，首版于1869年11月4日。与当今大多数科学论文杂志专一于一个特殊的领域不同，其是少数依然发表来自很多科学领域的一手研究论文的杂志（其它类似的杂志有《科学》和《美国科学院学报》等）。在许多科学研究领域中，很多最重要、最前沿的研究结果都是以短讯的形式发表在《自然》上。【详细介绍】《自然》是科学界普遍关注的、国际性、跨学科的周刊类科学杂志。2014年它的影响因子为456。1869年约瑟夫·诺尔曼·洛克耶爵士建立了《自然》，洛克耶是一位天文学家和氦的发现者之一，他也是《自然》的第一位主编，直到1919年卸任。《自然》每周刊载科学技术各个领域中具有独创性，重要性，以及跨学科的研究，同时也提供快速、权威、有见地的新闻，还有科学界和大众对于科技发展趋势的见解的专题。《自然》的主要读者是从事研究工作的科学家，但杂志前部的文章概括使得一般公众也能理解杂志内最重要的文章。杂志开始部分的社论、新闻、专题文章报道科学家一般关心的事物，包括最新消息、研究资助、商业情况、科学道德和研究突破等栏目。杂志也介绍与科学研究有关的书籍和艺术。杂志的其余部分主要是研究论文，这些论文往往非常新颖，有很高的科技价值。在《自然》上发表文章是非常光荣的，《自然》上的文章会经常被引用。这有助于晋升、获得资助和获得其它主流媒体的注意。因此科学家们在《自然》或《科学》上发表文章的竞争很激烈。与其它专业的科学杂志一样，在《自然》上发表的文章需要经过严格的同行评审。在发表前编辑选择其他在同一领域有威望的、但与作者无关的科学家来检查和评判文章的内容。作者要对评审做出的批评给予反应，比如更改文章内容，提供更多的试验结果，否则的话编辑可能拒绝该文章。《自然》是一份在英国发表的周刊，其出版商为自然出版集团，这个集团属于麦克米伦出版有限公司，而它则属于格奥尔格·冯·霍茨布林克出版集团。《自然》在伦敦、纽约、旧金山、华盛顿哥伦比亚特区、东京、巴黎、慕尼黑和贝辛斯托克设有办公室。自然出版集团还出版其它专业杂志如《自然神经科学》、《自然生物学技术》、《自然方法》、《自然临床实践》、《自然结构和分子生物学》和《自然评论》系列等。