World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
17158
World Ranking
2330
National Ranking
321

Electronics and Electrical Engineering

D-Index
63
Citations
15187
World Ranking
1372
National Ranking
223

Overview

Badong Chen is affiliated with Xi'an Jiaotong University in China and has contributed extensively to the fields of computer science and engineering. Their research spans numerous subfields, with a strong focus on artificial intelligence, computer vision and pattern recognition, signal processing, cognitive neuroscience, and electrical and electronic engineering.

Their work addresses various complex topics, including:

  • Blind source separation techniques
  • Advanced adaptive filtering techniques
  • EEG and brain-computer interfaces
  • Speech and audio processing
  • Face and expression recognition
  • Neural networks and applications
  • Advanced memory and neural computing

Chen's frequently published venues include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Neurocomputing
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Instrumentation and Measurement

Their recent papers, which have accumulated a notable number of citations, demonstrate a range of research interests and contributions. These include:

  • A survey on active noise control in the past decade-Part I: Linear systems, 2021, Signal Processing
  • Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion, 2022, Entropy
  • An Adaptive Rapidly-Exploring Random Tree, 2021, IEEE/CAA Journal of Automatica Sinica
  • Robust semi-supervised nonnegative matrix factorization for image clustering, 2020, Pattern Recognition
  • Heterogeneous Ensemble-Based Spike-Driven Few-Shot Online Learning, 2022, Frontiers in Neuroscience

Collaboration plays a significant role in Chen's work, prominently with several coauthors, including Wentao Ma, Meiqin Liu, Shujian Yu, Zhiping Lin, and Xinghua Liu. These partnerships reflect a consistent network within their research community.

Chen has also contributed to academic literature through book publications. Notably, they published "Neuromorphic Intelligence" in 2024 with Morgan & Claypool Publishers.

Best Publications

  • Maximum correntropy Kalman filter

    Baodong Chen;Xi Liu;Haiquan Zhao;Jose C. Principe;Jose C. Principe

  • Generalized Correntropy for Robust Adaptive Filtering

    Badong Chen;Lei Xing;Haiquan Zhao;Nanning Zheng

  • Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion

    Badong Chen;Lei Xing;Junli Liang;Nanning Zheng

  • Weighted-permutation entropy: a complexity measure for time series incorporating amplitude information.

    Bilal Fadlallah;Badong Chen;Andreas Keil;José Príncipe

  • Quantized Kernel Least Mean Square Algorithm

    Badong Chen;Songlin Zhao;Pingping Zhu;J. C. Principe

  • Hybrid-augmented intelligence: collaboration and cognition

    Unknown

  • Similarity Learning with Spatial Constraints for Person Re-identification

    Dapeng Chen;Zejian Yuan;Badong Chen;Nanning Zheng

  • Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion

    Badong Chen;Jianji Wang;Haiquan Zhao;Nanning Zheng

  • Maximum Correntropy Estimation Is a Smoothed MAP Estimation

    Badong Chen;J. C. Principe

  • Kernel adaptive filtering with maximum correntropy criterion

    Songlin Zhao;Badong Chen;Jose C. Principe

  • Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments

    Wentao Ma;Hua Qu;Guan Gui;Li Xu

  • Minimum Error Entropy Kalman Filter

    Badong Chen;Lujuan Dang;Yuantao Gu;Nanning Zheng

  • A survey on active noise control in the past decade - Part I: Linear systems

    Unknown

  • Quantized Kernel Recursive Least Squares Algorithm

    Badong Chen;Songlin Zhao;Pingping Zhu;Jose C. Principe

  • Disturbance Observer Based Composite Learning Fuzzy Control of Nonlinear Systems with Unknown Dead Zone

    Bin Xu;Fuchun Sun;Yongping Pan;Badong Chen

  • Mixture correntropy for robust learning

    Badong Chen;Xin Wang;Na Lu;Shiyuan Wang

  • Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering

    Badong Chen;Lei Xing;Bin Xu;Haiquan Zhao

  • System Parameter Identification: Information Criteria and Algorithms

    Badong Chen;Yu Zhu;Jinchun Hu;Jose C. Principe

  • Kernel recursive maximum correntropy

    Zongze Wu;Jiahao Shi;Xie Zhang;Wentao Ma

  • Maximum correntropy unscented filter

    Xi Liu;Badong Chen;Bin Xu;Zongze Wu

  • Blocked Maximum Correntropy Criterion Algorithm for Cluster-Sparse System Identifications

    Yingsong Li;Zhengxiong Jiang;Wanlu Shi;Xiao Han

  • Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments

    Wentao Ma;Hua Qua;Guan Gui;Li Xu

Frequent Co-Authors

Nanning Zheng
Nanning Zheng Xi'an Jiaotong University
Haiquan Zhao
Haiquan Zhao Southwest Jiaotong University
Zhiping Lin
Zhiping Lin Nanyang Technological University
Guan Gui
Guan Gui Nanjing University of Posts and Telecommunications
Jing Qin
Jing Qin Hong Kong Polytechnic University
Wee Ser
Wee Ser Nanyang Technological University
Yingsong Li
Yingsong Li Harbin Engineering University
Andreas Keil
Andreas Keil University of Florida
Kar-Ann Toh
Kar-Ann Toh Yonsei University
Yue Gao
Yue Gao Tsinghua University

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