World's Best Scientists 2026 revealed!
Zhongsheng Hou

Zhongsheng Hou

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
68
Citations
16812
World Ranking
1026
National Ranking
175

Zhongsheng Hou 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 Zhongsheng Hou 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: 354 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Zhongsheng Hou 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 Zhongsheng Hou 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: 68 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Overview

Zhongsheng Hou is affiliated with Qingdao University in China, focusing primarily on the fields of Engineering and Computer Science. Their research output includes a significant number of publications centered on Control and Systems Engineering, Computer Networks and Communications, Mechanical Engineering, Electrical and Electronic Engineering, and Computational Theory and Mathematics.

The scientist's recent papers reflect a focus on adaptive control, iterative learning, and nonlinear system optimization. Notable publications include:

  • "Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates" (2022, IEEE Transactions on Automatic Control)
  • "Model-Free Adaptive Control for Unknown MIMO Nonaffine Nonlinear Discrete-Time Systems With Experimental Validation" (2020, IEEE Transactions on Neural Networks and Learning Systems)
  • "Event-Triggered Model-Free Adaptive Iterative Learning Control for a Class of Nonlinear Systems Over Fading Channels" (2021, IEEE Transactions on Cybernetics)
  • "Data-Driven Formation Control for Unknown MIMO Nonlinear Discrete-Time Multi-Agent Systems With Sensor Fault" (2021, IEEE Transactions on Neural Networks and Learning Systems)
  • "Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks" (2020, Transportation Research Part C Emerging Technologies)

Their frequent co-authors include Ronghu Chi, Xuhui Bu, Shangtai Jin, Yuan-Xin Li, and Biao Huang. These collaborations suggest a network of research activity within adaptive and iterative learning control systems.

Frequent publication venues provide insight into Zhongsheng Hou's primary outlets for disseminating research, featuring:

  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Intelligent Transportation Systems
  • International Journal of Robust and Nonlinear Control
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Automation Science and Engineering

The scientist has also contributed to academic literature through book publications with Springer Nature, including:

  • "Data-Driven Iterative Learning Control for Discrete-Time Systems" (2022)
  • "Predictive Learning Control for Unknown Nonaffine Nonlinear Systems" (2023)

Zhongsheng Hou's main topics of research encompass:

  • Iterative Learning Control Systems
  • Adaptive Control of Nonlinear Systems
  • Advanced Control Systems Optimization
  • Distributed Control Multi-Agent Systems
  • Adaptive Dynamic Programming Control
  • Railway Systems and Energy Efficiency
  • Neural Networks Stability and Synchronization

This profile indicates a consistent emphasis on complex control systems and adaptive methodologies within nonlinear and multi-agent frameworks, as well as an engagement with neural network applications and transportation system efficiency.

Best Publications

  • From model-based control to data-driven control: Survey, classification and perspective

    Zhong-Sheng Hou;Zhuo Wang

  • A Novel Data-Driven Control Approach for a Class of Discrete-Time Nonlinear Systems

    Zhongsheng Hou;Shangtai Jin

  • Data-Driven Model-Free Adaptive Control for a Class of MIMO Nonlinear Discrete-Time Systems

    Zhongsheng Hou;Shangtai Jin

  • On Model-Free Adaptive Control and Its Stability Analysis

    Zhongsheng Hou;Shuangshuang Xiong

  • An Overview of Dynamic-Linearization-Based Data-Driven Control and Applications

    Zhongsheng Hou;Ronghu Chi;Huijun Gao

  • Model Free Adaptive Control: Theory and Applications

    Zhongsheng Hou;Shangtai Jin

  • Automatic Train Control System Development and Simulation for High-Speed Railways

    Hairong Dong;Bin Ning;Baigen Cai;Zhongsheng Hou

  • Technical communique: Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition

    Ronghu Chi;Zhongsheng Hou;Jianxin Xu

  • Data-Driven Multiagent Systems Consensus Tracking Using Model Free Adaptive Control

    Xuhui Bu;Zhongsheng Hou;Hongwei Zhang

  • The model-free learning adaptive control of a class of SISO nonlinear systems

    Zhongsheng Hou;Wenhu Huang

  • Model Free Adaptive Iterative Learning Consensus Tracking Control for a Class of Nonlinear Multiagent Systems

    Xuhui Bu;Qiongxia Yu;Zhongsheng Hou;Wei Qian

  • Controller-Dynamic-Linearization-Based Model Free Adaptive Control for Discrete-Time Nonlinear Systems

    Zhongsheng Hou;Yuanming Zhu

  • Adaptive Iterative Learning Control for High-Speed Trains With Unknown Speed Delays and Input Saturations

    Honghai Ji;Zhongsheng Hou;Ruikun Zhang

  • An iterative learning approach for density control of freeway traffic flow via ramp metering

    Zhongsheng Hou;Jian-Xin Xu;Jingwen Yan

  • A High-Order Internal Model Based Iterative Learning Control Scheme for Nonlinear Systems With Time-Iteration-Varying Parameters

    Chenkun Yin;Jian-Xin Xu;Zhongsheng Hou

  • Terminal iterative learning control based station stop control of a train

    Zhongsheng Hou;Yi Wang;Chenkun Yin;Tao Tang

  • Freeway Traffic Control Using Iterative Learning Control-Based Ramp Metering and Speed Signaling

    Zhongsheng Hou;Jian-Xin Xu;Hongwei Zhong

  • Coordinated Iterative Learning Control Schemes for Train Trajectory Tracking With Overspeed Protection

    Heqing Sun;Zhongsheng Hou;Dayou Li

  • Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates

    Unknown

  • Lazy-Learning-Based Data-Driven Model-Free Adaptive Predictive Control for a Class of Discrete-Time Nonlinear Systems

    Zhongsheng Hou;Shida Liu;Taotao Tian

  • Data-driven optimal terminal iterative learning control

    Ronghu Chi;Danwei Wang;Zhongsheng Hou;Shangtai Jin

  • Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines

    Xin Xu;Zhongsheng Hou;Chuanqiang Lian;Haibo He

Frequent Co-Authors

Ronghu Chi
Ronghu Chi Qingdao University of Science and Technology
Jian-Xin Xu
Jian-Xin Xu National University of Singapore
Biao Huang
Biao Huang University of Alberta
Danwei Wang
Danwei Wang Nanyang Technological University
Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington
Amir Hussain
Amir Hussain Edinburgh Napier University
Feng Qian
Feng Qian Fudan University
Tianyou Chai
Tianyou Chai Northeastern University
Dongbin Zhao
Dongbin Zhao Chinese Academy of Sciences
Huijun Gao
Huijun Gao Harbin Institute of Technology

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