World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
62
Citations
11798
World Ranking
1486
National Ranking
244

Zhanshan Wang 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 Zhanshan Wang 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: 446 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: 320 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Zhanshan Wang 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 Zhanshan Wang sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 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: 62 D-Index — 80th percentile

80% 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

  • 2015 - SPIE Fellow

Overview

Zhanshan Wang is affiliated with Northeastern University in China and specializes in research primarily within the fields of Engineering and Computer Science. Their work extensively covers subfields such as Control and Systems Engineering, Computer Networks and Communications, and Electrical and Electronic Engineering, with additional focus areas in Artificial Intelligence and Computational Theory and Mathematics.

The main research topics explored by Zhanshan Wang include:

  • Neural Networks Stability and Synchronization
  • Stability and Control of Uncertain Systems
  • Advanced Memory and Neural Computing
  • Distributed Control Multi-Agent Systems
  • Neural Networks and Applications
  • Adaptive Control of Nonlinear Systems
  • Adaptive Dynamic Programming Control

Wang's recent published papers encompass various aspects of neural networks, control, and dynamical systems. Notable examples are:

  • Event-triggered synchronization of discrete-time neural networks: A switching approach (2020, Neural Networks)
  • Periodic Event-Triggered Synchronization for Discrete-Time Complex Dynamical Networks (2021, IEEE Transactions on Neural Networks and Learning Systems)
  • Finite-Time Extended Dissipative Filtering for Singular T-S Fuzzy Systems With Nonhomogeneous Markov Jumps (2020, IEEE Transactions on Cybernetics)
  • Extended Dissipativity Analysis for Markovian Jump Neural Networks via Double-Integral-Based Delay-Product-Type Lyapunov Functional (2020, IEEE Transactions on Neural Networks and Learning Systems)
  • Fuzzy Adaptive Practical Fixed-Time Consensus for Second-Order Nonlinear Multiagent Systems Under Actuator Faults (2020, IEEE Transactions on Cybernetics)

The scientist has frequently published in venues such as:

  • Neurocomputing
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Circuits & Systems II Express Briefs
  • International Journal of Robust and Nonlinear Control

Zhanshan Wang has collaborated with several researchers multiple times, including:

  • Yufeng Tian
  • Guoqiang Tan
  • Xiaofei Fan
  • Bibo Zheng
  • Sanbo Ding

In 2015, Zhanshan Wang was recognized as an SPIE Fellow. Their published work reveals significant focus on topics related to stability, control, fuzzy systems, and synchronization within neural and complex dynamical networks.

Best Publications

  • A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks

    Huaguang Zhang;Zhanshan Wang;Derong Liu

  • Novel Weighting-Delay-Based Stability Criteria for Recurrent Neural Networks With Time-Varying Delay

    Huaguang Zhang;Zhenwei Liu;Guang-Bin Huang;Zhanshan Wang

  • Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays

    Huaguang Zhang;Zhanshan Wang;Derong Liu

  • Adaptive Fault-Tolerant Tracking Control for MIMO Discrete-Time Systems via Reinforcement Learning Algorithm With Less Learning Parameters

    Lei Liu;Zhanshan Wang;Huaguang Zhang

  • Barrier Lyapunov Function-Based Adaptive Fuzzy FTC for Switched Systems and Its Applications to Resistance–Inductance–Capacitance Circuit System

    Lei Liu;Yan-Jun Liu;Dapeng Li;Shaocheng Tong

  • Global Asymptotic Stability of Reaction–Diffusion Cohen–Grossberg Neural Networks With Continuously Distributed Delays

    Zhanshan Wang;Huaguang Zhang

  • Data-Core-Based Fuzzy Min–Max Neural Network for Pattern Classification

    Huaguang Zhang;Jinhai Liu;Dazhong Ma;Zhanshan Wang

  • LMI-Based Approach for Global Asymptotic Stability Analysis of Recurrent Neural Networks with Various Delays and Structures

    Zhanshan Wang;Huaguang Zhang;Bin Jiang

  • Optimal Output Regulation for Heterogeneous Multiagent Systems via Adaptive Dynamic Programming

    Huaguang Zhang;Hongjing Liang;Zhanshan Wang;Tao Feng

  • Neural Network-Based Model-Free Adaptive Fault-Tolerant Control for Discrete-Time Nonlinear Systems With Sensor Fault

    Zhanshan Wang;Lei Liu;Huaguang Zhang

  • Stability Criteria for Recurrent Neural Networks With Time-Varying Delay Based on Secondary Delay Partitioning Method

    Zhanshan Wang;Lei Liu;Qi-He Shan;Huaguang Zhang

  • Optimal control for unknown discrete-time nonlinear Markov jump systems using adaptive dynamic programming.

    Xiangnan Zhong;Haibo He;Huaguang Zhang;Zhanshan Wang

  • Exponential Stability and Stabilization of Delayed Memristive Neural Networks Based on Quadratic Convex Combination Method

    Zhanshan Wang;Sanbo Ding;Zhanjun Huang;Huaguang Zhang

  • Data-Based Optimal Control of Multiagent Systems: A Reinforcement Learning Design Approach

    Jilie Zhang;Zhanshan Wang;Hongwei Zhang

  • Event-triggered synchronization of discrete-time neural networks: A switching approach.

    Sanbo Ding;Zhanshan Wang

  • Exponential Stabilization of Memristive Neural Networks via Saturating Sampled-Data Control

    Sanbo Ding;Zhanshan Wang;Nannan Rong;Huaguang Zhang

  • Robust Stability Analysis for Interval Cohen–Grossberg Neural Networks With Unknown Time-Varying Delays

    Huaguang Zhang;Zhanshan Wang;Derong Liu

  • Stability of Recurrent Neural Networks With Time-Varying Delay via Flexible Terminal Method

    Zhanshan Wang;Sanbo Ding;Qihe Shan;Huaguang Zhang

  • Novel stability criterions of a new fuzzy cellular neural networks with time-varying delays

    Zhenwei Liu;Huaguang Zhang;Zhanshan Wang

  • Robust Exponential Stability of Recurrent Neural Networks With Multiple Time-Varying Delays

    Huaguang Zhang;Zhanshan Wang;Derong Liu

  • Global Asymptotic Stability of Delayed Cellular Neural Networks

    Huaguang Zhang;Zhanshan Wang

Frequent Co-Authors

Huaguang Zhang
Huaguang Zhang Northeastern University
Derong Liu
Derong Liu University of Illinois at Chicago
Tieshan Li
Tieshan Li University of Electronic Science and Technology of China
Wen Yu
Wen Yu CINVESTAV
Bin Jiang
Bin Jiang Nanjing University of Aeronautics and Astronautics
Haibo He
Haibo He University of Rhode Island
Dongbin Zhao
Dongbin Zhao Chinese Academy of Sciences
Yan-Jun Liu
Yan-Jun Liu Liaoning University of Technology

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