Badong Chen

引用次数

	总计	2017 年至今
引用	9050	7762
h 指数	45	41
i10 指数	172	154

1700

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425

1275

20112012201320142015201620172018201920202021202234 59 94 139 309 586 947 1162 1452 1531 1676 987

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jose principeprofessor of ECE, U. of Florida在 cnel.ufl.edu 的电子邮件经过验证
Haiquan ZhaoProfessor of School of Electrical Engineering, Southwest Jiaotong University在 home.swjtu.edu.cn 的电子邮件经过验证
Wentao MaXi‘an University of Technology在 xaut.edu.cn 的电子邮件经过验证
Pengju RenProfessor, Xi'an Jiaotong University在 xjtu.edu.cn 的电子邮件经过验证
Zhiping LinNanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
Siyuan PengNanyang Technological University, Singapore在 e.ntu.edu.sg 的电子邮件经过验证
Shiyuan WangProfessor, College of Electronic and Information Engineering, Southwest University在 swu.edu.cn 的电子邮件经过验证
Cao JiuwenProfessor of Institute of Information and Control, Hangzhou Dianzi University, China在 hdu.edu.cn 的电子邮件经过验证
Zongze WuGuangdong University of Technology在 gdut.edu.cn 的电子邮件经过验证
Shaoyi DuInstitute of Artificial Intelligence and Robotics, Xi'an Jiaotong University在 xjtu.edu.cn 的电子邮件经过验证
Yingsong LiAnhui University在 hrbeu.edu.cn 的电子邮件经过验证
Yuantao GuDepartment of Electronic Engineering, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
Andreas KeilProfessor of Psychology, University of Florida在 ufl.edu 的电子邮件经过验证
Kar-Ann TohProfessor, Sch. of EEE, Yonsei University在 yonsei.ac.kr 的电子邮件经过验证
Hong Cheng（程洪）Professor of Center for Robotics and School of Automation, University of Electronic Science and在 uestc.edu.cn 的电子邮件经过验证
Hing Cheung SoCity University of Hong Kong在 ee.cityu.edu.hk 的电子邮件经过验证
Paul HoneineProfessor in Machine Learning & Signal Processing, LITIS Lab, Université de Rouen Normandie在 univ-rouen.fr 的电子邮件经过验证
Sohan SethSenior Data Scientist, University of Edinburgh在 inf.ed.ac.uk 的电子邮件经过验证
Il Memming ParkAssociate Professor of Neurobiology and Behavior, Stony Brook University在 stonybrook.edu 的电子邮件经过验证
Weifeng LiuUniversity of Florida在 cnel.ufl.edu 的电子邮件经过验证

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Badong Chen

Professor of Xi'an Jiaotong University, Xi'an, China

在 mail.xjtu.edu.cn 的电子邮件经过验证 - 首页

signal processing machine learning brain machine interfaces robotics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Generalized correntropy for robust adaptive filtering B Chen, L Xing, H Zhao, N Zheng, JC Principe IEEE Transactions on Signal Processing 64 (13), 3376-3387, 2016	411	2016
Maximum correntropy Kalman filter B Chen, X Liu, H Zhao, JC Príncipe Automatica 76, 70-77, 2017	405	2017
Quantized kernel least mean square algorithm B Chen, S Zhao, P Zhu, JC Príncipe IEEE Transactions on Neural Networks and Learning Systems 23 (1), 22-32, 2012	386	2012
Similarity learning with spatial constraints for person re-identification D Chen, Z Yuan, B Chen, N Zheng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	377	2016
Steady-state mean-square error analysis for adaptive filtering under the maximum correntropy criterion B Chen, L Xing, J Liang, N Zheng, JC Principe IEEE signal processing letters 21 (7), 880-884, 2014	340	2014
Weighted-permutation entropy: A complexity measure for time series incorporating amplitude information B Fadlallah, B Chen, A Keil, J Príncipe Physical Review E 87 (2), 022911, 2013	325	2013
Convergence of a fixed-point algorithm under maximum correntropy criterion B Chen, J Wang, H Zhao, N Zheng, JC Príncipe IEEE Signal Processing Letters 22 (10), 1723-1727, 2015	224	2015
Maximum correntropy estimation is a smoothed MAP estimation B Chen, JC Príncipe IEEE Signal Processing Letters 19 (8), 491-494, 2012	202	2012
Hybrid-augmented intelligence: collaboration and cognition N Zheng, Z Liu, P Ren, Y Ma, S Chen, S Yu, J Xue, B Chen, F Wang Frontiers of Information Technology & Electronic Engineering 18 (2), 153-179, 2017	184	2017
Quantized kernel recursive least squares algorithm B Chen, S Zhao, P Zhu, JC Principe IEEE transactions on neural networks and learning systems 24 (9), 1484-1491, 2013	173	2013
Kernel adaptive filtering with maximum correntropy criterion S Zhao, B Chen, JC Principe Neural Networks (IJCNN), The 2011 International Joint Conference on, 2012-2017, 2011	171	2011
Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments W Ma, H Qu, G Gui, L Xu, J Zhao, B Chen Journal of the Franklin Institute 352 (7), 2708-2727, 2015	169	2015
System parameter identification: information criteria and algorithms B Chen, Y Zhu, J Hu, JC Principe Newnes, 2013	152	2013
Disturbance observer based composite learning fuzzy control of nonlinear systems with unknown dead zone B Xu, F Sun, Y Pan, B Chen IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016	144	2016
Kernel recursive maximum correntropy Z Wu, J Shi, X Zhang, W Ma, B Chen Signal Processing 117, 11-16, 2015	119	2015
Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering B Chen, L Xing, B Xu, H Zhao, N Zheng, JC Principe IEEE Transactions on Signal Processing 65 (11), 2888-2901, 2017	112	2017
Brain-inspired cognitive model with attention for self-driving cars S Chen, S Zhang, J Shang, B Chen, N Zheng IEEE Transactions on Cognitive and Developmental Systems 11 (1), 13-25, 2017	96	2017
Kernel least mean square with adaptive kernel size B Chen, J Liang, N Zheng, JC Principe Neurocomputing 191, 95-106, 2016	93	2016
Mixture Correntropy for Robust Learning B Chen, X Wang, N Lu, S Wang, J Cao, J Qin Pattern Recognition, 2018	92	2018
Blocked Maximum Correntropy Criterion Algorithm for Cluster-Sparse System Identifications Y Li, Z Jiang, W Shi, X Han, B Chen IEEE Transactions on Circuits and Systems II: Express Briefs, 2019	91	2019

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