World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
6267
World Ranking
5296
National Ranking
1035

Yonggui Kao 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 Yonggui Kao 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: 197 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Yonggui Kao 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 Yonggui Kao 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: 46 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Yonggui Kao is affiliated with the Harbin Institute of Technology in China. The research undertaken is primarily situated within the fields of Engineering and Computer Science, with significant contributions to Control and Systems Engineering as well as Computer Networks and Communications.

Their research focuses on several main topics including:

  • Neural Networks Stability and Synchronization
  • Stability and Control of Uncertain Systems
  • Adaptive Control of Nonlinear Systems
  • Fractional Differential Equations Solutions
  • Nonlinear Dynamics and Pattern Formation
  • Distributed Control Multi-Agent Systems
  • Neural Networks and Applications

The scholar has published extensively in reputable venues, frequently appearing in:

  • Applied Mathematics and Computation
  • Journal of the Franklin Institute
  • Science China Information Sciences
  • European Journal of Control
  • SSRN Electronic Journal

Representative recent papers include:

  • "SMC for semi-Markov jump T-S fuzzy systems with time delay," 2020, Applied Mathematics and Computation
  • "Fully distributed prescribed-time consensus control of multiagent systems under fixed and switching topologies," 2023, Information Sciences
  • "HMM-based adaptive attack-resilient control for Markov jump system and application to an aircraft model," 2020, Applied Mathematics and Computation
  • "Asymptotic multistability and local S-asymptotic ω-periodicity for the nonautonomous fractional-order neural networks with impulses," 2020, Science China Information Sciences
  • "Sliding mode control for uncertain fractional-order reaction-diffusion memristor neural networks with time delays," 2024, Neural Networks

The frequent collaborators with whom the researcher co-authored multiple papers are:

  • Wenhai Qi
  • Jixing Lv
  • Yue Cao
  • Xinsong Yang
  • Hongli Li

The focus on neural networks and control theory is evident throughout the career, with substantial work on stability, synchronization, and adaptive control mechanisms. The incorporation of fractional-order systems and distributed multi-agent system control indicates a specialization in advanced modeling techniques and real-time systems analysis.

Best Publications

  • A sliding mode approach to H ∞ non-fragile observer-based control design for uncertain Markovian neutral-type stochastic systems

    Yonggui Kao;Jing Xie;Changhong Wang;Hamid Reza Karimi

  • Stabilization of Singular Markovian Jump Systems With Generally Uncertain Transition Rates

    Yonggui Kao;Jing Xie;Changhong Wang

  • Stability and Stabilization for Singular Switching Semi-Markovian Jump Systems With Generally Uncertain Transition Rates

    Baoping Jiang;Yonggui Kao;Hamid Reza Karimi;Cunchen Gao

  • Takagi–Sugeno Model Based Event-Triggered Fuzzy Sliding-Mode Control of Networked Control Systems With Semi-Markovian Switchings

    Baoping Jiang;Hamid Reza Karimi;Yonggui Kao;Cunchen Gao

  • A Novel Robust Fuzzy Integral Sliding Mode Control for Nonlinear Semi-Markovian Jump T–S Fuzzy Systems

    Baoping Jiang;Hamid Reza Karimi;Yonggui Kao;Cunchen Gao

  • Observer-Based Adaptive Sliding Mode Control for Nonlinear Stochastic Markov Jump Systems via T–S Fuzzy Modeling: Applications to Robot Arm Model

    Baoping Jiang;Hamid Reza Karimi;Shichun Yang;Cunchen Gao

  • Passification of Uncertain Singular Semi-Markovian Jump Systems With Actuator Failures Via Sliding Mode Approach

    Baoping Jiang;Yonggui Kao;Cunchen Gao;Xiuming Yao

  • Robust sliding mode control for uncertain discrete singular systems with time-varying delays and external disturbances

    Yueqiao Han;Yonggui Kao;Cunchen Gao

  • Adaptive Control of Nonlinear Semi-Markovian Jump T–S Fuzzy Systems With Immeasurable Premise Variables via Sliding Mode Observer

    Baoping Jiang;Hamid Reza Karimi;Yonggui Kao;Cunchen Gao

  • Command filtered robust adaptive NN control for a class of uncertain strict-feedback nonlinear systems under input saturation

    Guibing Zhu;Jialu Du;Yonggui Kao

  • Mittag–Leffler Synchronization of Delayed Fractional Memristor Neural Networks via Adaptive Control

    Yonggui Kao;Ying Li;Ju H. Park;Xiangyong Chen

  • Interval Type-2 Fuzzy Sampled-Data $H_{\infty }$ Control for Nonlinear Unreliable Networked Control Systems

    Zhenbin Du;Yonggui Kao;Hamid Reza Karimi;Xudong Zhao

  • A sliding mode approach to robust stabilisation of Markovian jump linear time-delay systems with generally incomplete transition rates

    Yonggui Kao;Jing Xie;Lixian Zhang;Hamid Reza Karimi

  • Robust stabilisation for non-linear time-delay semi-Markovian jump systems via sliding mode control

    Wenhai Qi;Ju H. Park;Jun Cheng;Yonggui Kao

  • Takagi–Sugeno Model-Based Sliding Mode Observer Design for Finite-Time Synthesis of Semi-Markovian Jump Systems

    Baoping Jiang;Hamid Reza Karimi;Yonggui Kao;Cunchen Gao

  • Delay-dependent robust exponential stability of Markovian jumping reaction-diffusion Cohen–Grossberg neural networks with mixed delays

    Yong-Gui Kao;Yong-Gui Kao;Ji-Feng Guo;Chang-Hong Wang;Xi-Qian Sun

  • Input-to-state stability for discrete-time nonlinear switched singular systems

    Yunlong Liu;Yonggui Kao;Hamid Reza Karimi;Zairui Gao

  • Robust Synchronization for Under-Actuated Vessels Based on Disturbance Observer

    Xin Hu;Xinjiang Wei;Yonggui Kao;Jian Han

  • Global exponential stability of delayed Markovian jump fuzzy cellular neural networks with generally incomplete transition probability

    Yonggui Kao;Lei Shi;Jing Xie;Hamid Reza Karimi

  • Sliding mode control for Markovian jump repeated scalar nonlinear systems with packet dropouts: The uncertain occurrence probabilities case

    Jun Hu;Jun Hu;Panpan Zhang;Yonggui Kao;Hongjian Liu

  • Reduced-order adaptive sliding mode control for nonlinear switching semi-Markovian jump delayed systems

    Baoping Jiang;Baoping Jiang;Hamid Reza Karimi;Yonggui Kao;Cunchen Gao

  • Nonfragile observer‐based H ∞ sliding mode control for Itô stochastic systems with Markovian switching

    Yonggui Kao;Wei Li;Changhong Wang

Frequent Co-Authors

Hamid Reza Karimi
Hamid Reza Karimi Polytechnic University of Milan
Ju H. Park
Ju H. Park Yeungnam University
Jun Cheng
Jun Cheng Guangxi Normal University
Jun Hu
Jun Hu Harbin University of Science and Technology
Ben Niu
Ben Niu Chinese Academy of Sciences
Cheng Hu
Cheng Hu Xinjiang University
Chun-Yi Su
Chun-Yi Su Concordia University
Haijun Jiang
Haijun Jiang Xinjiang University
Lixian Zhang
Lixian Zhang Harbin Institute of Technology
Jinde Cao
Jinde Cao Southeast University

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