World's Best Scientists 2026 revealed!
Weisheng Chen

Weisheng Chen

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
49
Citations
8401
World Ranking
2974
National Ranking
488

Overview

Weisheng Chen is affiliated with Xidian University in China and has a research profile that spans multiple disciplines, including medicine and engineering. Their work focuses on various specialized fields such as surgery, pulmonary and respiratory medicine, mechanical engineering, rheumatology, and molecular biology.

The research topics covered by Weisheng Chen include:

  • Extraction and Separation Processes
  • Thyroid Cancer Diagnosis and Treatment
  • Thyroid and Parathyroid Surgery
  • Recycling and Waste Management Techniques
  • Salivary Gland Disorders and Functions
  • Systemic Lupus Erythematosus Research
  • Membrane-based Ion Separation Techniques

Among the recent scientific publications, notable papers include:

  • "Effect of hydrothermal pretreatment on pyrolyzed sludge biochars for tetracycline adsorption," 2021, Journal of Environmental Chemical Engineering
  • "Recovery of Rubidium and Cesium Resources from Brine of Desalination through t-BAMBP Extraction," 2020, Metals
  • "Modified Activated Carbon for Copper Ion Removal from Aqueous Solution," 2022, Processes
  • "Diagnostic yield and clinical impact of exome sequencing in early-onset scoliosis (EOS)," 2020, Journal of Medical Genetics
  • "High-yield recycling and recovery of copper, indium, and gallium from waste copper indium gallium selenide thin-film solar panels," 2022, Solar Energy Materials and Solar Cells

Frequent collaborators in Weisheng Chen's work include:

  • Cheng-Han Lee
  • Chang-Youh Tsai
  • Hsien-Tzung Liao
  • Jun-Na Ge
  • Shangtong Lei

Their contributions have been published repeatedly in specific venues, with multiple papers appearing in:

  • Sustainability
  • Endocrine Abstracts
  • Desalination and Water Treatment
  • Frontiers in Endocrinology
  • Research Square (Research Square)

Best Publications

  • Decentralized event-triggered consensus for linear multi-agent systems under general directed graphs

    Dapeng Yang;Wei Ren;Xiangdong Liu;Weisheng Chen

  • Adaptive NN Backstepping Output-Feedback Control for Stochastic Nonlinear Strict-Feedback Systems With Time-Varying Delays

    Weisheng Chen;Licheng Jiao;Jing Li;Ruihong Li

  • Adaptive Consensus of Multi-Agent Systems With Unknown Identical Control Directions Based on A Novel Nussbaum-Type Function

    Weisheng Chen;Xiaobo Li;Wei Ren;Changyun Wen

  • Fuzzy Clustering With a Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images

    Maoguo Gong;Linzhi Su;Meng Jia;Weisheng Chen

  • Technical communique: Finite-time stability theorem of stochastic nonlinear systems

    Weisheng Chen;L. C. Jiao

  • Decentralized Output-Feedback Neural Control for Systems With Unknown Interconnections

    Weisheng Chen;Junmin Li

  • Adaptive Backstepping Fuzzy Control for Nonlinearly Parameterized Systems With Periodic Disturbances

    Weisheng Chen;Licheng Jiao;Ruihong Li;Jing Li

  • Event-triggered zero-gradient-sum distributed consensus optimization over directed networks

    Weisheng Chen;Wei Ren

  • Globally Stable Adaptive Backstepping Neural Network Control for Uncertain Strict-Feedback Systems With Tracking Accuracy Known a Priori

    Weisheng Chen;Shuzhi Sam Ge;Jian Wu;Maoguo Gong

  • Global finite-time adaptive stabilization for nonlinear systems with multiple unknown control directions

    Jian Wu;Weisheng Chen;Jing Li

  • Adaptive Tracking for Periodically Time-Varying and Nonlinearly Parameterized Systems Using Multilayer Neural Networks

    Weisheng Chen;Licheng Jiao

  • Adaptive NN output-feedback decentralized stabilization for a class of large-scale stochastic nonlinear strict-feedback systems

    Jing Li;Weisheng Chen;Jun‐Min Li

  • Adaptive backstepping dynamic surface control for systems with periodic disturbances using neural networks

    W.S. Chen

  • Globally stable adaptive backstepping fuzzy control for output-feedback systems with unknown high-frequency gain sign

    Weisheng Chen;Zhengqiang Zhang

  • Brief Paper: Output-feedback adaptive dynamic surface control of stochastic non-linear systems using neural network

    W.S. Chen;L.C. Jiao;Z.B. Du

  • Quantized consensus of second-order continuous-time multi-agent systems with a directed topology via sampled data

    Weisheng Chen;Xiaobo Li;Licheng Jiao

  • Distributed Cooperative Adaptive Identification and Control for a Group of Continuous-Time Systems With a Cooperative PE Condition via Consensus

    Weisheng Chen;Changyun Wen;Shaoyong Hua;Changyin Sun

  • Semi-global robust tracking consensus for multi-agent uncertain systems with input saturation via metamorphic low-gain feedback

    Baohui Wang;Weisheng Chen;Bin Zhang

  • Globally stable direct adaptive backstepping NN control for uncertain nonlinear strict-feedback systems

    Jian Wu;Weisheng Chen;Dong Zhao;Jing Li

  • Consensus-based distributed cooperative learning control for a group of discrete-time nonlinear multi-agent systems using neural networks

    Weisheng Chen;Shaoyong Hua;Shuzhi Sam Ge

  • State‐feedback stabilization for a class of stochastic time‐delay nonlinear systems

    Weisheng Chen;Jian Wu;L.C. Jiao

Frequent Co-Authors

Zhengqiang Zhang
Zhengqiang Zhang Qufu Normal University
Wei Ren
Wei Ren University of California, Riverside
Changyun Wen
Changyun Wen Nanyang Technological University
Shuzhi Sam Ge
Shuzhi Sam Ge National University of Singapore
Peng Shi
Peng Shi University of Adelaide
Long Wang
Long Wang Peking University
Huaguang Zhang
Huaguang Zhang Northeastern University
Zheng-Guang Wu
Zheng-Guang Wu Zhejiang University
Daniel W. C. Ho
Daniel W. C. Ho City University of Hong Kong
Guangdeng Zong
Guangdeng Zong Tianjin Polytechnic University

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Related Online Degrees & Career Pathways

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Combining technical expertise with project management knowledge and understanding suitable career environments can significantly enhance your professional journey in the electrical and electronics engineering fields.

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