World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
58
Citations
12804
World Ranking
1865
National Ranking
738

Zhihua Qu 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 Zhihua Qu 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: 394 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Zhihua Qu 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 Zhihua Qu 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: 58 D-Index — 74th percentile

74% 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

  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2010 - IEEE Fellow For contributions to control for nonlinear uncertain systems

Overview

Zhihua Qu is affiliated with the University of Central Florida in the United States. Their research spans multiple disciplines primarily within engineering and computer science, with a significant focus on areas such as distributed control multi-agent systems, smart grid security and resilience, and microgrid control and optimization.

The main fields of study for Zhihua Qu include:

  • Engineering
  • Computer Science

In terms of specialized subfields, their work covers:

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • General Health Professions

Core topics consistently addressed in their publications are:

  • Distributed Control Multi-Agent Systems
  • Smart Grid Security and Resilience
  • Microgrid Control and Optimization
  • Network Security and Intrusion Detection
  • Power System Optimization and Stability
  • Advanced Memory and Neural Computing
  • Optimal Power Flow Distribution

Recent papers authored by Zhihua Qu include:

  • "Resilient Control of Cyber-Physical System Using Nonlinear Encoding Signal Against System Integrity Attacks," 2020, IEEE Transactions on Automatic Control
  • "Continuous-Domain Real-Time Distributed ADMM Algorithm for Aggregator Scheduling and Voltage Stability in Distribution Network," 2021, IEEE Transactions on Automation Science and Engineering
  • "A Hybrid-Learning Algorithm for Online Dynamic State Estimation in Multimachine Power Systems," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Data-Driven Wide-Area Control Design of Power System Using the Passivity Shortage Framework," 2020, IEEE Transactions on Power Systems
  • "Resilient Dynamic Average-Consensus of Multiagent Systems," 2022, IEEE Control Systems Letters

Zhihua Qu frequently collaborates with several other researchers, including:

  • Azwirman Gusrialdi
  • Toru Namerikawa
  • Ying Xu
  • Sanam K. Aksha
  • Kelly A. Stevens

Their works appear regularly in publication venues such as:

  • SSRN Electronic Journal
  • IEEE Access
  • IFAC-PapersOnLine
  • arXiv (Cornell University)
  • IEEE Transactions on Automation Science and Engineering

Among professional recognitions, Zhihua Qu has been named a Fellow of the American Association for the Advancement of Science (AAAS) in 2012 and was designated an IEEE Fellow in 2010 for contributions to control for nonlinear uncertain systems.

Best Publications

  • Cooperative Control of Dynamical Systems: Applications to Autonomous Vehicles

    Zhihua Qu;Jing Wang;R.A. Hull

  • Lyapunov, Adaptive, and Optimal Design Techniques for Cooperative Systems on Directed Communication Graphs

    Hongwei Zhang;F. L. Lewis;Zhihua Qu

  • Secondary control of microgrids based on distributed cooperative control of multi-agent systems

    Ali Bidram;Ali Davoudi;Frank L. Lewis;Zhihua Qu

  • Robust Control of Nonlinear Uncertain Systems

    Zhihua Qu

  • Robust Tracking Control of Robot Manipulators

    Zhihua Qu;Darren M. Dawson

  • A Self-Organizing Strategy for Power Flow Control of Photovoltaic Generators in a Distribution Network

    Huanhai Xin;Zhihua Qu;J. Seuss;A. Maknouninejad

  • On constructing Lyapunov functions for multi-agent systems

    Hongwei Zhang;Zhongkui Li;Zhihua Qu;Frank L. Lewis

  • Robust Control of Nonlinear Uncertain Systems Under Generalized Matching Conditions

    Zhilnua Qu

  • Robust tracking control of robots by a linear feedback law

    Z. Qu;J. Dorsey

  • A new analytical solution to mobile robot trajectory generation in the presence of moving obstacles

    Zhihua Qu;Jing Wang;C.E. Plaisted

  • Robust control for the tracking of robot motion

    D. M. Dawson;Z. Qu;F. L. Lewis;J. F. Dorsey

  • Global stabilization of nonlinear systems with a class of unmatched uncertainties

    Z. Qu

  • Tracking control of rigid-link electrically – driven robot manipulators

    D. M. Dawson;Z. Qu;J. J. Carroll

  • On the state observation and output feedback problems for nonlinear uncertain dynamic systems

    D.M. Dawson;Z. Qu;J.J. Carroll

  • Robust Iterative Learning Control for a Class of Nonlinear Systems

    Jian-Xin Xu;Zhihua Qu

  • Optimal, Nonlinear, and Distributed Designs of Droop Controls for DC Microgrids

    Ali Maknouninejad;Zhihua Qu;Frank L. Lewis;Ali Davoudi

  • Realizing Unified Microgrid Voltage Profile and Loss Minimization: A Cooperative Distributed Optimization and Control Approach

    Ali Maknouninejad;Zhihua Qu

  • Distributed Scheduling and Cooperative Control for Charging of Electric Vehicles at Highway Service Stations

    Azwirman Gusrialdi;Zhihua Qu;Marwan A. Simaan

  • MODEL-BASED LEARNING CONTROLS AND THEIR COMPARISONS USING LYAPUNOV DIRECT METHOD

    Zhihua Qu;Jian-Xin Xu

  • Brief An iterative learning algorithm for boundary control of a stretched moving string

    Zhihua Qu

Frequent Co-Authors

Darren M. Dawson
Darren M. Dawson Methode Electronics
Deqiang Gan
Deqiang Gan Zhejiang University
Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington
Huanhai Xin
Huanhai Xin Zhejiang University
James D. McCalley
James D. McCalley Iowa State University
Hatem H. Zeineldin
Hatem H. Zeineldin Khalifa University
Jian-Xin Xu
Jian-Xin Xu National University of Singapore
Ali Davoudi
Ali Davoudi The University of Texas at Arlington
Issa Batarseh
Issa Batarseh University of Central Florida
Juan Carlos Balda
Juan Carlos Balda University of Arkansas at Fayetteville

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