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Electronics and Electrical Engineering
China
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
109
Citations
41863
World Ranking
114
National Ranking
15

Gang Feng publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Gang Feng sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 656 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Gang Feng D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Gang Feng sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 109 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Electronics and Electrical Engineering in China Leader Award
  • 2023 - Research.com Electronics and Electrical Engineering in China Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in China Leader Award

Overview

Gang Feng is affiliated with the City University of Hong Kong in China. Their research spans over two main fields: Engineering and Computer Science, with a significant contribution to both disciplines through numerous publications.

Their work is notably concentrated in various subfields of study, including:

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Gang Feng's research topics cover several key areas within these fields, among which are:

  • Distributed Control Multi-Agent Systems
  • Stability and Control of Uncertain Systems
  • Neural Networks Stability and Synchronization
  • Adaptive Control of Nonlinear Systems
  • Adaptive Dynamic Programming Control
  • Stability and Controllability of Differential Equations
  • Advanced Control Systems Optimization

Their publication record includes a mix of articles featured in leading venues such as:

  • Automatica
  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Control of Network Systems
  • International Journal of Robust and Nonlinear Control

Among recent papers authored or co-authored by Gang Feng are:

  • Improving polygenic prediction in ancestrally diverse populations, 2022, Nature Genetics
  • Fuzzy Adaptive Finite-Time Fault-Tolerant Control for Strict-Feedback Nonlinear Systems, 2020, IEEE Transactions on Fuzzy Systems
  • A survey on attack detection, estimation and control of industrial cyber-physical systems, 2021, ISA Transactions
  • Physical Safety and Cyber Security Analysis of Multi-Agent Systems: A Survey of Recent Advances, 2021, IEEE/CAA Journal of Automatica Sinica
  • Resilient practical cooperative output regulation for MASs with unknown switching exosystem dynamics under DoS attacks, 2022, Automatica

Frequent collaborators in their research include:

  • Lu Liu
  • Xiang Xu
  • Chuandong Li
  • Xingxing Ju
  • Jianbin Qiu

Best Publications

  • A Survey on Analysis and Design of Model-Based Fuzzy Control Systems

    Gang Feng

  • Technical communique: Distributed event-triggered control of multi-agent systems with combinational measurements

    Yuan Fan;Gang Feng;Yong Wang;Cheng Song

  • DSC Approach to Robust Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems

    Tie-Shan Li;Dan Wang;Gang Feng;Shao-Cheng Tong

  • Consensus of Linear Multi-Agent Systems by Distributed Event-Triggered Strategy

    Wenfeng Hu;Lu Liu;Gang Feng

  • Event-based consensus of multi-agent systems with general linear models

    Wei Zhu;Wei Zhu;Zhong-Ping Jiang;Gang Feng;Gang Feng

  • Adaptive output-feedback control design with prescribed performance for switched nonlinear systems

    Yongming Li;Yongming Li;Shaocheng Tong;Lu Liu;Gang Feng

  • Brief paper: Distributed tracking control of leader-follower multi-agent systems under noisy measurement

    Jiangping Hu;Gang Feng

  • Observer-Based Output Feedback Event-Triggered Control for Consensus of Multi-Agent Systems

    Hao Zhang;Gang Feng;Huaicheng Yan;Qijun Chen

  • Observer-Based Adaptive Fuzzy Backstepping Dynamic Surface Control for a Class of MIMO Nonlinear Systems

    Shao-Cheng Tong;Yong-Ming Li;Gang Feng;Tie-Shan Li

  • Analysis and design for a class of complex control systems part II: fuzzy controller design

    S. G. Cao;N. W. Rees;G. Feng

  • Analysis and design for a class of complex control systems part I: fuzzy modelling and identification

    S. G. Cao;N. W. Rees;G. Feng

  • A combined backstepping and small-gain approach to robust adaptive fuzzy control for strict-feedback nonlinear systems

    Yansheng Yang;Gang Feng;Junsheng Ren

  • Fuzzy-Model-Based Piecewise ${\mathscr H}_{\infty }$ Static-Output-Feedback Controller Design for Networked Nonlinear Systems

    Jianbin Qiu;Gang Feng;Huijun Gao

  • Synchronization of Complex Dynamical Networks With Time-Varying Delays Via Impulsive Distributed Control

    Zhi-Hong Guan;Zhi-Wei Liu;Gang Feng;Yan-Wu Wang

  • A New Design of Delay-Dependent Robust ${\cal H}_{m \infty}$ Filtering for Discrete-Time T--S Fuzzy Systems With Time-Varying Delay

    Jianbin Qiu;Gang Feng;Jie Yang

  • Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach

    Gang Feng

  • Self-Triggered Consensus for Multi-Agent Systems With Zeno-Free Triggers

    Yuan Fan;Lu Liu;Gang Feng;Yong Wang

  • Brief paper: Finite-time stabilization by state feedback control for a class of time-varying nonlinear systems

    Xianfu Zhang;Gang Feng;Yonghui Sun

  • Consensus of Heterogeneous Linear Multiagent Systems Subject to Aperiodic Sampled-Data and DoS Attack

    Dan Zhang;Lu Liu;Gang Feng

  • Fuzzy Adaptive Finite-Time Fault-Tolerant Control for Strict-Feedback Nonlinear Systems

    Kangkang Sun;Lu Liu;Jianbin Qiu;Gang Feng

  • A Novel Robust Adaptive-Fuzzy-Tracking Control for a Class of NonlinearMulti-Input/Multi-Output Systems

    Tie-Shan Li;Shao-Cheng Tong;Gang Feng

  • Design of fuzzy control systems with guaranteed stability

    G. Feng;S. G. Cao;N. W. Rees;C. K. Chak

  • Controller synthesis of fuzzy dynamic systems based on piecewise Lyapunov functions

    Gang Feng

Frequent Co-Authors

Lu Liu
Lu Liu City University of Hong Kong
Jianbin Qiu
Jianbin Qiu Harbin Institute of Technology
Yong Wang
Yong Wang University of Science and Technology of China
Xinping Guan
Xinping Guan Shanghai Jiao Tong University
Marimuthu Palaniswami
Marimuthu Palaniswami University of Melbourne
TieJun Zhang
TieJun Zhang Khalifa University
Cailian Chen
Cailian Chen Shanghai Jiao Tong University
Huijun Gao
Huijun Gao Harbin Institute of Technology
Jinde Cao
Jinde Cao Southeast University
Zhi-Hong Guan
Zhi-Hong Guan Huazhong University of Science and Technology

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