H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 37 Citations 6,289 170 World Ranking 2185 National Ranking 244

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Machine learning

His primary areas of investigation include Control theory, Artificial neural network, Nonlinear system, Artificial intelligence and Control theory. His research integrates issues of Control and Dynamic programming in his study of Control theory. He combines subjects such as Mathematical optimization, Lyapunov function, Adaptive system and Robot manipulator with his study of Artificial neural network.

Changyin Sun has included themes like Convergence, Multi-agent system, Bounded function, Actuator and Dead zone in his Nonlinear system study. His biological study spans a wide range of topics, including Machine learning and Pattern recognition. Attitude control, Feed forward and Vehicle dynamics is closely connected to Robustness in his research, which is encompassed under the umbrella topic of Control theory.

His most cited work include:

  • Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation (502 citations)
  • Neural Network Control of a Robotic Manipulator With Input Deadzone and Output Constraint (213 citations)
  • Adaptive Neural Network Control of a Marine Vessel With Constraints Using the Asymmetric Barrier Lyapunov Function (174 citations)

What are the main themes of his work throughout his whole career to date?

Changyin Sun spends much of his time researching Control theory, Artificial intelligence, Artificial neural network, Nonlinear system and Pattern recognition. His Control theory study incorporates themes from Control and Multi-agent system. His Artificial intelligence research integrates issues from Machine learning and Computer vision.

The study incorporates disciplines such as Mathematical optimization, Optimal control, Stability, Exponential stability and Robot in addition to Artificial neural network. The concepts of his Nonlinear system study are interwoven with issues in Function, Network topology, Convergence and Robustness. His Pattern recognition study integrates concerns from other disciplines, such as Face and Feature.

He most often published in these fields:

  • Control theory (51.35%)
  • Artificial intelligence (26.13%)
  • Artificial neural network (20.72%)

What were the highlights of his more recent work (between 2019-2021)?

  • Control theory (51.35%)
  • Nonlinear system (20.27%)
  • Control (11.49%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Control theory, Nonlinear system, Control, Control theory and Artificial neural network. Changyin Sun interconnects Multi-agent system and Event triggered in the investigation of issues within Control theory. His Nonlinear system research incorporates elements of Network topology and Convergence.

Changyin Sun works mostly in the field of Control, limiting it down to concerns involving State and, occasionally, Observer. Changyin Sun works mostly in the field of Control theory, limiting it down to topics relating to Actuator and, in certain cases, Sliding mode control. In his research, Constraint is intimately related to Robot, which falls under the overarching field of Artificial neural network.

Between 2019 and 2021, his most popular works were:

  • Fixed-Time Leader–Follower Consensus of Networked Nonlinear Systems via Event/Self-Triggered Control (29 citations)
  • Adaptive Consensus of Multiagent Systems With Unknown High-Frequency Gain Signs Under Directed Graphs (26 citations)
  • Deterministic Policy Gradient With Integral Compensator for Robust Quadrotor Control (20 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Control theory
  • Machine learning

Changyin Sun focuses on Control theory, Control, Reinforcement learning, Multi-agent system and Nonlinear system. His Control theory research includes themes of Artificial neural network and Tracking. His work carried out in the field of Artificial neural network brings together such families of science as Stability, Uniform boundedness and Optimal control.

His Control research is multidisciplinary, relying on both Frequency regulation, Stability, Condition monitoring and Transmission system. His research in the fields of Consensus overlaps with other disciplines such as Fixed time. His Nonlinear system course of study focuses on Network topology and Strongly connected component, Spanning tree, Convergence, Upper and lower bounds and Lemma.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation

Wei He;Yiting Dong;Changyin Sun.
systems man and cybernetics (2016)

778 Citations

Adaptive Neural Network Control of a Marine Vessel With Constraints Using the Asymmetric Barrier Lyapunov Function

Wei He;Zhao Yin;Changyin Sun.
IEEE Transactions on Systems, Man, and Cybernetics (2017)

258 Citations

Neural Network Control of a Robotic Manipulator With Input Deadzone and Output Constraint

Wei He;Amoateng Ofosu David;Zhao Yin;Changyin Sun.
systems man and cybernetics (2016)

251 Citations

Adaptive Neural Network Control of a Flapping Wing Micro Aerial Vehicle With Disturbance Observer

Wei He;Zichen Yan;Changyin Sun;Yunan Chen.
IEEE Transactions on Systems, Man, and Cybernetics (2017)

238 Citations

A multi-manifold discriminant analysis method for image feature extraction

Wankou Yang;Changyin Sun;Lei Zhang.
Pattern Recognition (2011)

205 Citations

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

Derong Liu;Murad Abu-Khalaf;Adel M. Alimi;Charles Anderson.
(2015)

196 Citations

Neural Network Control of a Flexible Robotic Manipulator Using the Lumped Spring-Mass Model

Changyin Sun;Wei He;Jie Hong.
IEEE Transactions on Systems, Man, and Cybernetics (2017)

195 Citations

Air-Breathing Hypersonic Vehicle Tracking Control Based on Adaptive Dynamic Programming

Chaoxu Mu;Zhen Ni;Changyin Sun;Haibo He.
IEEE Transactions on Neural Networks (2017)

184 Citations

Gender classification based on boosting local binary pattern

Ning Sun;Wenming Zheng;Changyin Sun;Cairong Zou.
international symposium on neural networks (2006)

161 Citations

Iterative Learning Control for a Flapping Wing Micro Aerial Vehicle Under Distributed Disturbances

Wei He;Tingting Meng;Xiuyu He;Changyin Sun.
IEEE Transactions on Systems, Man, and Cybernetics (2019)

154 Citations

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Best Scientists Citing Changyin Sun

Wei He

Wei He

University of Science and Technology Beijing

Publications: 59

Derong Liu

Derong Liu

University of Illinois at Chicago

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Zhijun Li

Zhijun Li

University of Science and Technology of China

Publications: 37

Ding Wang

Ding Wang

Beijing University of Technology

Publications: 35

Chenguang Yang

Chenguang Yang

South China University of Technology

Publications: 31

Sabri Arik

Sabri Arik

Istanbul University

Publications: 30

Shuai Li

Shuai Li

Swansea University

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Haibo He

Haibo He

University of Rhode Island

Publications: 27

Huaguang Zhang

Huaguang Zhang

Northeastern University

Publications: 24

Dong Yue

Dong Yue

Nanjing University of Posts and Telecommunications

Publications: 23

Ning Wang

Ning Wang

Harbin Engineering University

Publications: 20

Qi Zhou

Qi Zhou

Guangdong University of Technology

Publications: 20

Jinde Cao

Jinde Cao

Southeast University

Publications: 20

Guang-Hong Yang

Guang-Hong Yang

Northeastern University

Publications: 19

Qinglai Wei

Qinglai Wei

Chinese Academy of Sciences

Publications: 19

Yan-Jun Liu

Yan-Jun Liu

Liaoning University of Technology

Publications: 19

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