World's Best Scientists 2026 revealed!
Xiaoqun Wu

Xiaoqun Wu

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
6151
World Ranking
7356
National Ranking
1333

Xiaoqun Wu publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Xiaoqun Wu sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 155 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Xiaoqun Wu D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Xiaoqun Wu sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Xiaoqun Wu is affiliated with Wuhan University in China and has produced numerous scientific contributions in the field of computer science. Their research primarily focuses on computer networks and communications, nonlinear physics, control and systems engineering, molecular biology, and electrical and electronic engineering.

The scientist's work encompasses several main topics, including neural networks stability and synchronization, nonlinear dynamics and pattern formation, distributed control for multi-agent systems, opinion dynamics and social influence, complex network analysis techniques, gene regulatory network analysis, and mathematical and theoretical epidemiology and ecology models.

Their recent papers include:

  • Dynamic Event-Triggered Leader-Follower Consensus Control for Multi-Agent Systems, 2022, SIAM Journal on Control and Optimization
  • Fixed-Time Synchronization of Coupled Neural Networks With Discontinuous Activation and Mismatched Parameters, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Fixed-Time Synchronization of Complex Dynamical Networks: A Novel and Economical Mechanism, 2020, IEEE Transactions on Cybernetics

Xiaoqun Wu has frequently collaborated with a number of co-authors. The most frequent among these are:

  • Jinhu Lü
  • Bing Mao
  • Yuhua Xu
  • Ziye Fan
  • Jun-an Lu

The scientist's publications often appear in specialized venues with a strong focus on nonlinear science and engineering. Frequent publication venues for Xiaoqun Wu include:

  • Chaos An Interdisciplinary Journal of Nonlinear Science
  • IEEE Transactions on Circuits & Systems II Express Briefs
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Circuits and Systems I Regular Papers

Xiaoqun Wu's research contributes extensively to several subfields and applications related to complex systems and networks, with work touching on both theoretical and applied aspects of nonlinear dynamics, pattern formation, and distributed control mechanisms in multi-agent systems.

Best Publications

  • Synchronization of a unified chaotic system and the application in secure communication

    Junan Lu;Xiaoqun Wu;Jinhu Lü

  • Adaptive feedback synchronization of a unified chaotic system

    Junan Lu;Xiaoqun Wu;Xiuping Han;Jinhu Lü

  • Synchronization-based topology identification of weighted general complex dynamical networks with time-varying coupling delay

    Xiaoqun Wu

  • Generalized outer synchronization between complex dynamical networks.

    Xiaoqun Wu;Wei Xing Zheng;Jin Zhou

  • Estimating the bounds for the Lorenz family of chaotic systems

    Damei Li;Jun-an Lu;Xiaoqun Wu;Guanrong Chen

  • Estimating the ultimate bound and positively invariant set for the Lorenz system and a unified chaotic system

    Damei Li;Jun an Lu;Xiaoqun Wu;Guanrong Chen

  • Master stability functions for complete, intralayer, and interlayer synchronization in multiplex networks of coupled Rössler oscillators.

    Longkun Tang;Xiaoqun Wu;Xiaoqun Wu;Jinhu Lü;Jun-an Lu

  • Synchronizability of Duplex Networks

    Yang Li;Xiaoqun Wu;Jun-an Lu;Jinhu Lu

  • Compressive-Sensing-Based Structure Identification for Multilayer Networks

    Guofeng Mei;Xiaoqun Wu;Yingfei Wang;Mi Hu

  • Linearly coupled synchronization of the unified chaotic systems and the Lorenz systems

    Damei Li;Jun-an Lu;Xiaoqun Wu

  • Identifying Topologies of Complex Dynamical Networks With Stochastic Perturbations

    Xiaoqun Wu;Xueyi Zhao;Jinhu Lu;Longkun Tang

  • Fixed-Time Synchronization of Complex Dynamical Networks: A Novel and Economical Mechanism.

    Na Li;Xiaoqun Wu;Jianwen Feng;Jinhu Lu

  • Fixed-Time Synchronization of Coupled Neural Networks With Discontinuous Activation and Mismatched Parameters

    Na Li;Xiaoqun Wu;Jianwen Feng;Yuhua Xu

  • Cooperative Epidemic Spreading on a Two-Layered Interconnected Network

    Xiang Wei;Xiaoqun Wu;Shihua Chen;Jun-an Lu

  • Inferring topologies of complex networks with hidden variables

    Xiaoqun Wu;Weihan Wang;Wei Xing Zheng

  • Pinning synchronization of delayed neural networks.

    Jin Zhou;Xiaoqun Wu;Wenwu Yu;Michael Small

  • Finite‐time stabilization of complex dynamical networks via optimal control

    Guofeng Mei;Xiaoqun Wu;Di Ning;Jun-An Lu

  • Fast-scale instability of single-stage power-factor-correction power supplies

    Xiaoqun Wu;C.K. Tse;O. Dranga;Junan Lu

  • Recovering Structures of Complex Dynamical Networks Based on Generalized Outer Synchronization

    Shuna Zhang;Xiaoqun Wu;Jun-An Lu;Hui Feng

  • Flocking of multi-agent dynamical systems based on pseudo-leader mechanism

    Jin Zhou;Jin Zhou;Xiaoqun Wu;Wenwu Yu;Michael Small

  • Estimating the ultimate bound and positively invariant set for the hyperchaotic Lorenz-Haken system

    Damei Li;Xiaoqun Wu;Jun-an Lu

  • Fixed-Time Synchronization of Complex Networks With a Simpler Nonchattering Controller

    Yuhua Xu;Xiaoqun Wu;Na Li;Li Liu

Frequent Co-Authors

Jun-an Lu
Jun-an Lu Wuhan University
Jinhu Lu
Jinhu Lu Beihang University
Guanrong Chen
Guanrong Chen City University of Hong Kong
Jianwen Feng
Jianwen Feng Shenzhen University
Chi K. Tse
Chi K. Tse City University of Hong Kong
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Siu-Chung Wong
Siu-Chung Wong Hong Kong Polytechnic University
Wenwu Yu
Wenwu Yu Southeast University
Pei Wang
Pei Wang Shenzhen University
Michael Small
Michael Small University of Western Australia

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