发布时间：
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。
Journal of Computational Physics (JCP)计算力学领域国际三大顶级期刊之一哦 计算力学领域国际三大顶级期刊为：Computer Methods in Applied Mechanics and Engineering (CMAME)International Journal for Numerical Methods in Engineering (IJNME)Journal of Computational Physics (JCP)除此之外，计算力学领域国际一流期刊还有：Archives of Computational Methods in EngineeringComputational MechanicsComputers & StructuresEarthquake Engineering & Structural DynamicsArchives of Computational Methods in EngineeringComputer Methods in Applied Mechanics and EngineeringInternational Journal for Numerical Methods in Engineering上面这些期刊应该是计算力学领域的非常好的期刊啦。
别计较那个分区，那个是外行掐指头数数搞出来的。只要是学流体力学的都知道JFM是最顶级的。偏实验的实际上也就你说的这三个。JFM本身就特别注重实验，没有实验数据的文章想发JFM是很难的。你要有实验条件，就投JFM，不用犹豫。很多做计算的还苦于没有实验条件呢。 POF跟JFM比差一个档次，POF上有一些水文章。但是JFM的文章读了上百篇，还没遇到过水的文章。Experiments in fluids相对好发一些，对实验和结果的原创性要求不高。还有一点，你可以看你所引用的参考文献发在哪个杂志的最多，基本上这个杂志就最适合你。
力学学报
这一领域，排第一位的应该是Journal of Computational Physics（不才在上面发过两篇），几乎所有CFD领域的数值离散方法的原创性、实质改进性的文章都发表在这一期刊上，譬如激波捕捉方法中的TVD、ENO、WENO格式，迎风格式通量计算方法中的Roe,van Leer,AUSM系列格式，非结构网格上的高精度算法DG、SV、SD等，以及两相流中VOF(volume of fluid,Hirt与Nicholes的原始文献已经被引8K＋次了), level set（Osher的原始文献(JCP,1988)已经被引14K＋次了）的方法。两相流上的论文被引用次数高的一个主要原因是这方面的算法不仅仅可用于CFD计算，也可用于图像处理等其它领域。Osher因为在Level Set，TVD/ENO/WENO等方面开创性的工作，是被国际数学家大会邀请做过一小时报告的人物。此外，采用偏微分方程进行网格生成的开创性工作（Thompson等，1974，JCP）也发表在这上面。还有许多就不一一列举了。2016年之前，中科院分区里面将JCP分为大类物理三区，小类二区，今年已经改为大类二区，小类一区了。此外，还有Computer Method in Applied Machnics and Enginering（CMAME），这一期刊也是计算力学领域的顶级期刊，不过主要发表的计算固体/结构力学领域的工作，也有一部分工作是关于计算流体力学的，比如不可压流计算中经典的QUICK格式于1979年发表于该期刊。另外还有Journal of Scientific Computing，最近这一期刊在算法上的影响力已经接近JCP了。SIAM Journal of Scientific C这一期刊上的许多文章是关于算法在数学方面的深入分析，我因为理论数学功底的欠缺，里面许多文章并不是很懂。次一档次的期刊有International Journal for Numerical Methods in Fluids,以及Computers & F一般被JCP拒搞的改投这两份期刊。如果在算法上做出了一定的改进，如果投JCP希望不大的话，可以考虑投这两份期刊。
有本流体动力学，里面的文章在官网上可以看到
这个问题似乎有些问题啊， 不同的数据库领域有所侧重的。 最好是说明你的领域。 Emerald（爱墨瑞得）数据库：Emerald Management Xtra150（EMX150）-Emerald管理学全集、 ACS（American Chemical Society美国化学学会）：成立于1876年，是世界上
在这里介绍一下国际知名的一些学术期刊出版商和会议组织者，供各位研究人员和学生参考。IEEEThe Institute of Electrical and Electronics Engineers (IEEE, 要读作I-Triple-E，文盲才读I—E—E---E)电子工程师协会喽，最大的；也涉及到其他领域比如计算机，金融，经济，数学等等。IEEE的数据库贵的出名，每年接受大量期刊和会议文章。IISTEThe International Institute for Science, Technology and Education (IISTE)，国际科技与教育协会，美国优秀的出版商，快速审稿、快速发表的英文杂志；特点是审稿人可以通过审稿赚钱，以此来提升审稿速度。同时也举办一些国际会议。SpringerInternational Publisher Science, Technology, Medicine，德国优秀的出版商，德国人做事情严禁，科学出版物的质量自然也不差。同时也举办一些国际会议。Elsevier爱思唯尔（ELSEVIER）简介 爱思唯尔是一家经营科学、技术和医学信息产品及出版服务的大型出版集团。总公司是英国的Reed Elsevier，SciencDirect是国内知名大学必备产品。Wiley-BlackwellWiley -Blackwell 出版公司是全球最大的学协会出版商，与世界上550 多个学术和专业学会合作，出版国际性期刊700 余种。
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。
《Nature》《Nature》杂志和它的名字，是以发表科学世界中重大发现、重要突破为使命所创办的。《Nature》所要求科研成果必须是新颖、出入意料（或令人吃惊）的，且在《Nature》上发布的研究需要在该领域之外具有广泛的意义，所以无论是报道一项突出的发现，还是某一重要问题的实质性进展的第一手报告，均应使其他领域的科学家感兴趣。打开百度APP看高清图片从1869年创刊到如今，已经有130年的历史了，可以说是世界上最早的国际性科技期刊之一，在ISI评价指标SCI影响因子近30，多年来亦是综合性学科被引率的NO1!《Science》如果你知道《Science》的创始人，你一定会大吃一惊。是的，《Science》杂志就是于1880年由发明大王爱迪生投资1万美元创办的，这本《Science》杂志于1894年成为美国最大的科学团体“美国科学促进会”——(AAAS)的官方刊物。《Science》全年共51期，周刊，全球发行量超过150万份。该杂志连同英国的《Nature》杂志被誉为世界上两大最顶级杂志，代表了人类自然科学研究的最高水平。与其他学术期刊很大不同的是，相比于多数科技期刊都要向读者收取审稿、评论、发表的相关费用，但《Science》发表来稿是免费的。其杂志的资金来源共有三部分：AAAS的会员费、印刷版和在线版的订阅费、广告费。且science一直以“发展科学，服务社会”为宗旨，因此期刊中有许多科普资料，只有一般学术水平的读者也可以多关注下。《Cell》三大期刊的最后一位《Cell》可能有些不同，因为前面《Nature》和《Science》都是综合性期刊，而《Cell》则是生命科学研究领域。《Cell》刊登过许多重大的生命科学研究进展，其2010年的影响因子为957，高于《Science》的影响因子(027)，接近《Nature》的影响因子(597)，表明它所刊登的文章广受引用。能够在《Cell》杂志上发表学术论文，是生命科学研究者孜孜以求的目标，也是评选诺贝尔奖、竞选院士、展示大学和科研机构研究实力的重要依据。
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