World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
59
Citations
12993
World Ranking
1760
National Ranking
296

Zhouhua Peng 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 Zhouhua Peng 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: 323 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.

Zhouhua Peng 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 Zhouhua Peng 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: 59 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Zhouhua Peng is affiliated with Dalian Maritime University in China and has made substantial contributions in the fields of engineering and computer science, particularly focusing on control and systems engineering as well as ocean engineering. Their research extensively covers topics related to autonomous marine vehicles and adaptive control methodologies within these domains.

The main areas of study for Zhouhua Peng span across engineering disciplines with specialization in:

  • Control and Systems Engineering
  • Ocean Engineering
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition

Their work addresses key topics including:

  • Adaptive Control of Nonlinear Systems
  • Distributed Control Multi-Agent Systems
  • Underwater Vehicles and Communication Systems
  • Maritime Navigation and Safety
  • Robotic Path Planning Algorithms
  • Multilevel Inverters and Converters
  • Fault Detection and Control Systems

Zhouhua Peng has authored several influential papers, including:

  • An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles, 2020, IEEE Transactions on Industrial Informatics
  • Event-Triggered Dynamic Surface Control of an Underactuated Autonomous Surface Vehicle for Target Enclosing, 2020, IEEE Transactions on Industrial Electronics
  • Output-Feedback Flocking Control of Multiple Autonomous Surface Vehicles Based on Data-Driven Adaptive Extended State Observers, 2020, IEEE Transactions on Cybernetics

Frequently publishing in notable venues, their work appears repeatedly in:

  • Ocean Engineering
  • IEEE Transactions on Industrial Electronics
  • IEEE/CAA Journal of Automatica Sinica
  • IEEE Transactions on Intelligent Vehicles
  • IEEE Transactions on Vehicular Technology

The scientist collaborates with several researchers, often co-authoring with:

  • Dan Wang
  • Nan Gu
  • Lu Liu
  • Haoliang Wang
  • Tieshan Li

Best Publications

  • An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles

    Zhouhua Peng;Jun Wang;Dan Wang;Qing-Long Han

  • Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics

    Zhouhua Peng;Dan Wang;Zhiyong Chen;Xiaojing Hu

  • Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance

    Zhouhua Peng;Dan Wang;Tieshan Li;Min Han

  • Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation

    Zhouhua Peng;Jun Wang;Dan Wang

  • ESO-Based Line-of-Sight Guidance Law for Path Following of Underactuated Marine Surface Vehicles With Exact Sideslip Compensation

    Lu Liu;Dan Wang;Zhouhua Peng

  • Output-Feedback Path-Following Control of Autonomous Underwater Vehicles Based on an Extended State Observer and Projection Neural Networks

    Zhouhua Peng;Jun Wang

  • Distributed Containment Maneuvering of Multiple Marine Vessels via Neurodynamics-Based Output Feedback

    Zhouhua Peng;Jun Wang;Dan Wang

  • Distributed neural network control for adaptive synchronization of uncertain dynamical multiagent systems.

    Zhouhua Peng;Dan Wang;Hongwei Zhang;Gang Sun

  • Path-Following Control of Autonomous Underwater Vehicles Subject to Velocity and Input Constraints via Neurodynamic Optimization

    Zhouhua Peng;Jun Wang;Qing-Long Han

  • Prescribed Performance Consensus of Uncertain Nonlinear Strict-Feedback Systems With Unknown Control Directions

    Wei Wang;Dan Wang;Zhouhua Peng;Tieshan Li

  • Constrained Control of Autonomous Underwater Vehicles Based on Command Optimization and Disturbance Estimation

    Zhouhua Peng;Jiasen Wang;Jun Wang

  • Event-Triggered Dynamic Surface Control of an Underactuated Autonomous Surface Vehicle for Target Enclosing

    Zhouhua Peng;Yue Jiang;Jun Wang

  • Predictor-Based Neural Dynamic Surface Control for Uncertain Nonlinear Systems in Strict-Feedback Form

    Zhouhua Peng;Dan Wang;Jun Wang

  • Containment Maneuvering of Marine Surface Vehicles With Multiple Parameterized Paths via Spatial-Temporal Decoupling

    Zhouhua Peng;Jun Wang;Dan Wang

  • Containment control of networked autonomous underwater vehicles with model uncertainty and ocean disturbances guided by multiple leaders

    Zhouhua Peng;Dan Wang;Yang Shi;Hao Wang

  • Observer-Based Finite-Time Control for Distributed Path Maneuvering of Underactuated Unmanned Surface Vehicles With Collision Avoidance and Connectivity Preservation

    Nan Gu;Dan Wang;Zhouhua Peng;Lu Liu

  • Bounded Neural Network Control for Target Tracking of Underactuated Autonomous Surface Vehicles in the Presence of Uncertain Target Dynamics

    Lu Liu;Dan Wang;Zhouhua Peng;C. L. Philip Chen

  • Disturbance observers and extended state observers for marine vehicles: A survey

    Unknown

  • Cooperative Path Following Ring-Networked Under-Actuated Autonomous Surface Vehicles: Algorithms and Experimental Results

    Lu Liu;Dan Wang;Zhouhua Peng;Tieshan Li

  • Predictor-based LOS guidance law for path following of underactuated marine surface vehicles with sideslip compensation

    Lu Liu;Dan Wang;Zhouhua Peng;Hao Wang

  • Robust adaptive formation control of underactuated autonomous surface vehicles with uncertain dynamics

    Z. Peng;D. Wang;X. Hu

  • Output-Feedback Flocking Control of Multiple Autonomous Surface Vehicles Based on Data-Driven Adaptive Extended State Observers

    Zhouhua Peng;Lu Liu;Jun Wang

  • State recovery and disturbance estimation of unmanned surface vehicles based on nonlinear extended state observers

    Lu Liu;Dan Wang;Zhouhua Peng

Frequent Co-Authors

Dan Wang
Dan Wang Dalian Maritime University
Tieshan Li
Tieshan Li University of Electronic Science and Technology of China
Ning Wang
Ning Wang Dalian Maritime University
C. L. Philip Chen
C. L. Philip Chen South China University of Technology
Dianhui Wang
Dianhui Wang La Trobe University
Qing-Long Han
Qing-Long Han Swinburne University of Technology
Yang Shi
Yang Shi University of Victoria
Weidong Zhang
Weidong Zhang Shanghai Jiao Tong University
Zhiyong Chen
Zhiyong Chen University of Newcastle Australia

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