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Electronics and Electrical Engineering
South Africa
2025
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Electronics and Electrical Engineering
Singapore
2022

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
80
Citations
23789
World Ranking
534
National Ranking
1

Qing-Guo 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 Qing-Guo 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: 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: 459 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Qing-Guo 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 Qing-Guo Wang 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: 80 D-Index — 93rd percentile

93% 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 South Africa Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Singapore Leader Award
  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Qing-Guo Wang is affiliated with the University of Johannesburg in South Africa. Their research spans multiple fields within engineering and computer science, with a particular emphasis on control systems and related technologies.

The primary fields of study for Wang include Engineering and Computer Science. Within these broad areas, their work focuses on several subfields, including:

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Materials Chemistry
  • Mechanical Engineering

The scientist's research topics are diverse and include the following main themes:

  • Adaptive Control of Nonlinear Systems
  • Stability and Control of Uncertain Systems
  • Solid State Laser Technologies
  • Neural Networks Stability and Synchronization
  • Luminescence Properties of Advanced Materials
  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems

Wang has published extensively, contributing 315 publications related to engineering and 84 related to computer science. Their frequent publication venues reflect this interdisciplinary focus, with notable numbers of publications in:

  • IEEE Transactions on Circuits & Systems II Express Briefs
  • Journal of Luminescence
  • ISA Transactions
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Fuzzy Systems

Among their recent papers are:

  • A survey on attack detection, estimation and control of industrial cyber-physical systems (2021, ISA Transactions)
  • Finite-Time Adaptive Fuzzy Control for MIMO Nonlinear Systems With Input Saturation via Improved Command-Filtered Backstepping (2020, IEEE Transactions on Systems Man and Cybernetics Systems)
  • Global Output-Feedback Prescribed Performance Control of Nonlinear Systems With Unknown Virtual Control Coefficients (2021, IEEE Transactions on Automatic Control)
  • Neural Network-Based Finite-Time Command Filtering Control for Switched Nonlinear Systems With Backlash-Like Hysteresis (2020, IEEE Transactions on Neural Networks and Learning Systems)
  • Dual-Path Mixed-Domain Residual Threshold Networks for Bearing Fault Diagnosis (2022, IEEE Transactions on Industrial Electronics)

Wang collaborates with multiple co-authors, with frequent collaborators including:

  • Yanyan Xue
  • Jinpeng Yu
  • Xiaodong Xu
  • Jun Xu
  • Jianshu Dong

The scientist has received recognition in their field, including being awarded the title of Fellow of the American Association for the Advancement of Science (AAAS) in 2020.

Best Publications

  • Technical communique: Delay-range-dependent stability for systems with time-varying delay

    Yong He;Qing-Guo Wang;Chong Lin;Min Wu

  • Further Improvement of Free-Weighting Matrices Technique for Systems With Time-Varying Delay

    Yong He;Qing-Guo Wang;Lihua Xie;Chong Lin

  • XGBoost Model for Chronic Kidney Disease Diagnosis

    Adeola Ogunleye;Qing-Guo Wang

  • PID tuning for improved performance

    Qing-Guo Wang;Tong-Heng Lee;Ho-Wang Fung;Qiang Bi

  • Analysis and synthesis of networked control systems: A survey of recent advances and challenges.

    Dan Zhang;Peng Shi;Qing-Guo Wang;Li Yu

  • An extended reciprocally convex matrix inequality for stability analysis of systems with time-varying delay

    Chuan-Ke Zhang;Chuan-Ke Zhang;Yong He;Lin Jiang;Min Wu

  • Relay Feedback Auto-tuning of Process Controllers – A Tutorial Review

    C.C. Hang;Karl Johan Åström;Q. G. Wang

  • Brief On the design of multivariable PID controllers via LMI approach

    Feng Zheng;Qing-Guo Wang;Tong Heng Lee

  • Auto-tuning of multivariable PID controllers from decentralized relay feedback

    Qing-Guo Wang;Biao Zou;Tong-Heng Lee;Qiang Bi

  • Robust PID controller design via LMI approach

    Ming Ge;Min-Sen Chiu;Qing-Guo Wang

  • Advances in PID Control

    Chang C. Hang;Qing-Guo Wang;Tore Hägglund

  • Augmented Lyapunov functional and delay-dependent stability criteria for neutral systems

    Yong He;Yong He;Qing-Guo Wang;Chong Lin;Min Wu

  • A less conservative robust stability test for linear uncertain time-delay systems

    Chong Lin;Qing-Guo Wang;Tong Heng Lee

  • Nonfragile Distributed Filtering for T–S Fuzzy Systems in Sensor Networks

    Dan Zhang;Wenjian Cai;Lihua Xie;Qing-Guo Wang

  • Robust identification of first-order plus dead-time model from step response

    Qiang Bi;Wen-Jian Cai;Eng-Lock Lee;Qing-Guo Wang

  • Stability Analysis of Discrete-Time Neural Networks With Time-Varying Delay via an Extended Reciprocally Convex Matrix Inequality

    Chuan-Ke Zhang;Yong He;Lin Jiang;Qing-Guo Wang

  • Adaptive Fuzzy Output-Feedback Controller Design for Nonlinear Time-Delay Systems With Unknown Control Direction

    Chang-Chun Hua;Qing-Guo Wang;Xin-Ping Guan

  • A tutorial review on process identification from step or relay feedback test

    Tao Liu;Qing-Guo Wang;Hsiao-Ping Huang

  • PI/PID controller tuning via LQR approach

    Jian-Bo He;Qing-Guo Wang;Tong-Heng Lee

  • Delay-dependent state estimation for delayed neural networks

    Yong He;Qing-Guo Wang;Min Wu;Chong Lin

  • Robust identification of continuous systems with dead-time from step responses

    Qing-Guo Wang;Yong Zhang

Frequent Co-Authors

Tong Heng Lee
Tong Heng Lee National University of Singapore
Chang Chieh Hang
Chang Chieh Hang National University of Singapore
Yong He
Yong He China University of Geosciences
Wenjian Cai
Wenjian Cai Nanyang Technological University
Chong Lin
Chong Lin Qingdao University
Bing Chen
Bing Chen Qingdao University
Min Wu
Min Wu China University of Geosciences
Kok Kiong Tan
Kok Kiong Tan National University of Singapore
Changchun Hua
Changchun Hua Yanshan University
Peng Shi
Peng Shi University of Adelaide

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Related Online Degrees & Career Pathways

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