World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
42
Citations
6555
World Ranking
4146
National Ranking
213

Xing-Gang Yan 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 Xing-Gang Yan 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: 218 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Xing-Gang Yan 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 Xing-Gang Yan 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: 42 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Overview

Xing-Gang Yan is affiliated with the University of Kent in the United Kingdom. Their research spans multiple domains within engineering and computer science, with a particular emphasis on control and systems engineering.

The primary fields of study for Yan include:

  • Engineering
  • Computer Science

More specifically, Yan's work focuses on subfields such as:

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Mechanical Engineering

The main research topics prominently addressed in Yan's publications are:

  • Adaptive Control of Nonlinear Systems
  • Advanced Control Systems Optimization
  • Distributed Control Multi-Agent Systems
  • Stability and Control of Uncertain Systems
  • Fault Detection and Control Systems
  • Iterative Learning Control Systems
  • Dynamics and Control of Mechanical Systems

Yan has frequently published in the following venues:

  • International Journal of Systems Science
  • Transactions of the Institute of Measurement and Control
  • IEEE Transactions on Automatic Control
  • IET Control Theory and Applications
  • Journal of the Franklin Institute

Recent notable papers by Yan include:

  • Disturbance-observer based prescribed-performance fuzzy sliding mode control for PMSM in electric vehicles (2021, Engineering Applications of Artificial Intelligence)
  • Fault-Tolerant Control for Systems With Unmatched Actuator Faults and Disturbances (2020, IEEE Transactions on Automatic Control)
  • A Novel Multi-Agent Model-Free Control for State-of-Charge Balancing Between Distributed Battery Energy Storage Systems (2020, IEEE Transactions on Emerging Topics in Computational Intelligence)
  • Adaptive Control Design and Evaluation for Multibody High-Speed Train Dynamic Models (2020, IEEE Transactions on Control Systems Technology)
  • Anti-Disturbance Cooperative Fuzzy Tracking Control of Multi-PMSMs Low-Speed Urban Rail Traction Systems (2021, IEEE Transactions on Transportation Electrification)

Yan has collaborated extensively with several coauthors, including:

  • Sarah K. Spurgeon (23 joint publications)
  • Zehui Mao (16 joint publications)
  • Dongya Zhao (13 joint publications)
  • Dezhi Xu (10 joint publications)
  • Bin Jiang (9 joint publications)

Their body of work illustrates consistent engagement with control systems and adaptive control, contributing to the understanding and development of advanced methodologies in these areas within engineering and computing contexts.

Best Publications

  • Brief paper: Nonlinear robust fault reconstruction and estimation using a sliding mode observer

    Xing-Gang Yan;Christopher Edwards

  • Higher‐order sliding‐mode observer for state estimation and input reconstruction in nonlinear systems

    Leonid Fridman;Yuri B. Shtessel;Christopher Edwards;Xinggang Yan

  • Robust sliding mode observer-based actuator fault detection and isolation for a class of nonlinear systems

    Xing-Gang Yan;Christopher Edwards

  • A Novel Adaptive Neural Network Constrained Control for a Multi-Area Interconnected Power System With Hybrid Energy Storage

    Dezhi Xu;Jianxing Liu;Xing-Gang Yan;Wenxu Yan

  • Decentralised robust sliding mode control for a class of nonlinear interconnected systems by static output feedback

    Xing-Gang Yan;Christopher Edwards;Sarah K. Spurgeon

  • Adaptive Sliding-Mode-Observer-Based Fault Reconstruction for Nonlinear Systems With Parametric Uncertainties

    Xing-Gang Yan;C. Edwards

  • Brief paper: Sliding mode control for time-varying delayed systems based on a reduced-order observer

    Xing-Gang Yan;Sarah K. Spurgeon;Christopher Edwards

  • Sliding mode control for singular stochastic Markovian jump systems with uncertainties

    Qingling Zhang;Qingling Zhang;Li Li;Xing-Gang Yan;Sarah K. Spurgeon

  • Robust decentralized actuator fault detection and estimation for large-scale systems using a sliding mode observer

    Xing-Gang Yan;Christopher Edwards

  • Dynamic Sliding Mode Control for a Class of Systems with Mismatched Uncertainty

    Xing-Gang Yan;Sarah K. Spurgeon;Christopher Edwards

  • Integral Sliding Mode Control for Markovian Jump T-S Fuzzy Descriptor Systems Based on the Super-Twisting Algorithm

    Jinghao Li;Qingling Zhang;Xing-Gang Yan;Sarah K. Spurgeon

  • Adaptive Fault-Tolerant Sliding-Mode Control for High-Speed Trains With Actuator Faults and Uncertainties

    Zehui Mao;Xing-Gang Yan;Bin Jiang;Mou Chen

  • On the Solvability of the Constrained Lyapunov Problem

    C. Edwards;Xing-Gang Yan;S.K. Spurgeon

  • Decentralized output feedback robust stabilization for a class of nonlinear interconnected systems with similarity

    Xing-Gang Yan;Jian-Jun Wang;Xing-Ya Lu;Si-Ying Zhang

  • Analysis and Design of Singular Markovian Jump Systems

    Guoliang Wang;Qingling Zhang;Xinggang Yan

  • Observer-Based Fuzzy Integral Sliding Mode Control For Nonlinear Descriptor Systems

    Jinghao Li;Qingling Zhang;Xing-Gang Yan;Sarah K. Spurgeon

  • Sliding mode observer based incipient sensor fault detection with application to high-speed railway traction device.

    Kangkang Zhang;Bin Jiang;Xing-Gang Yan;Zehui Mao

  • Distributed Fault Estimation and Fault-Tolerant Control of Interconnected Systems

    Ke Zhang;Bin Jiang;Mou Chen;Xing-Gang Yan

  • Memoryless Static Output Feedback Sliding Mode Control for Nonlinear Systems With Delayed Disturbances

    Xing-Gang Yan;Sarah K. Spurgeon;Christopher Edwards

  • State and Parameter Estimation for Nonlinear Delay Systems Using Sliding Mode Techniques

    Xing-Gang Yan;S. K. Spurgeon;C. Edwards

  • Technical Communique: Decentralized Output Feedback Robust Control for Nonlinear Large-scale Systems

    Xing-Gang Yan;Guan-Zhong Dai

  • Incipient Fault Detection for Traction Motors of High-Speed Railways Using an Interval Sliding Mode Observer

    Kangkang Zhang;Bin Jiang;Xing-Gang Yan;Zehui Mao

Frequent Co-Authors

Sarah K. Spurgeon
Sarah K. Spurgeon University College London
Christopher Edwards
Christopher Edwards University of Exeter
Bin Jiang
Bin Jiang Nanjing University of Aeronautics and Astronautics
Qingling Zhang
Qingling Zhang Sun Yat-sen University
Gang Tao
Gang Tao University of Virginia
Leonid Fridman
Leonid Fridman National Autonomous University of Mexico
I-Ming Chen
I-Ming Chen Nanyang Technological University
James Lam
James Lam University of Hong Kong
Peng Shi
Peng Shi University of Adelaide
Yuri B. Shtessel
Yuri B. Shtessel University of Alabama in Huntsville

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