World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
5405
World Ranking
7769
National Ranking
1390

Yungang Liu 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 Yungang Liu 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: 206 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Yungang Liu 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 Yungang Liu 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: 39 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Yungang Liu is affiliated with Shandong University in China and has a significant body of work primarily in the fields of Engineering and Computer Science. Their research focuses extensively on Control and Systems Engineering, where they have contributed to 160 publications, alongside notable work in Computer Networks and Communications, Computational Theory and Mathematics, Electrical and Electronic Engineering, and Aerospace Engineering.

The scientist has published research across several key topics including:

  • Adaptive Control of Nonlinear Systems
  • Stability and Control of Uncertain Systems
  • Distributed Control Multi-Agent Systems
  • Neural Networks Stability and Synchronization
  • Advanced Control Systems Optimization
  • Stability and Controllability of Differential Equations
  • Fault Detection and Control Systems

Yungang Liu's recent papers include:

  • Adaptive event-triggered output-feedback controller for uncertain nonlinear systems, 2020, Automatica
  • On stabilizability of multi-agent systems, 2022, Automatica
  • Fully Distributed Adaptive Finite-Time Consensus for Uncertain Nonlinear Multiagent Systems, 2020, IEEE Transactions on Cybernetics
  • Global Practical Tracking Via Adaptive Output Feedback for Uncertain Nonlinear Systems Without Polynomial Constraint, 2020, IEEE Transactions on Automatic Control
  • A New Distributed Energy Management Strategy for Smart Grid With Stochastic Wind Power, 2020, IEEE Transactions on Industrial Electronics

Their frequent coauthors include Zhijian Ji, Fengzhong Li, Chong Lin, Jian Li, and Yongchao Man, indicating collaborative research involvement with several specialists in related fields. The most frequent coauthor is Zhijian Ji, with 28 joint publications.

Liu has published extensively in several prominent venues, notably:

  • International Journal of Robust and Nonlinear Control (15 publications)
  • Science China Information Sciences (9 publications)
  • Automatica (8 publications)
  • IEEE Transactions on Automatic Control (8 publications)
  • International Journal of Control (7 publications)

The primary research themes in their work intersect systems engineering and control theory, with a strong focus on the stability, adaptation, and distributed control of nonlinear and uncertain systems. This includes the development of controllers and algorithms for multi-agent and cyber-physical systems, as well as applications involving energy management and neural network synchronization.

Best Publications

  • Dynamic Economic/Emission Dispatch Including PEVs for Peak Shaving and Valley Filling

    Unknown

  • A Hybrid Bat Algorithm for Economic Dispatch With Random Wind Power

    Unknown

  • Practical Tracking Via Adaptive Event-Triggered Feedback for Uncertain Nonlinear Systems

    Unknown

  • Practical Output-Feedback Risk-Sensitive Control for Stochastic Nonlinear Systems with Stable Zero-Dynamics

    Yun-Gang Liu;Ji-Feng Zhang

  • Brief paper: Adaptive state-feedback stabilization for a class of high-order nonlinear uncertain systems

    Zongyao Sun;Yungang Liu

  • Global Practical Tracking for High-Order Uncertain Nonlinear Systems with Unknown Control Directions

    Unknown

  • A multiobjective hybrid bat algorithm for combined economic/emission dispatch

    Huijun Liang;Yungang Liu;Fengzhong Li;Yanjun Shen

  • Output feedback control design for strict-feedback stochastic nonlinear systems under a risk-sensitive cost

    Unknown

  • Reduced-order observer-based control design for nonlinear stochastic systems

    Yun-Gang Liu;Yun-Gang Liu;Ji-Feng Zhang

  • Global adaptive stabilization and practical tracking for nonlinear systems with unknown powers

    Yongchao Man;Yungang Liu

  • Adaptive event-triggered output-feedback controller for uncertain nonlinear systems

    Fengzhong Li;Yungang Liu

  • Global Finite-Time Stabilization via Time-Varying Feedback for Uncertain Nonlinear Systems

    Unknown

  • Control Design With Prescribed Performance for Nonlinear Systems With Unknown Control Directions and Nonparametric Uncertainties

    Unknown

  • Output-feedback adaptive stabilization control design for non-holonomic systems with strong non-linear drifts

    Yun-Gang Liu;Ji-Feng Zhang

  • Global Asymptotic Regulation via Time-Varying Output Feedback for a Class of Uncertain Nonlinear Systems

    Unknown

  • Global stability and stabilization of more general stochastic nonlinear systems

    Unknown

  • Global Practical Tracking by Output Feedback for Nonlinear Systems with Unknown Growth Rate and Time Delay

    Unknown

  • Event-Triggered Stabilization for Continuous-Time Stochastic Systems

    Unknown

  • Global adaptive output-feedback stabilization for a class of uncertain nonlinear systems with unknown growth rate and unknown output function

    Xuehua Yan;Xuehua Yan;Yungang Liu;Wei Xing Zheng

  • The application of deep learning in computer vision

    Qing Wu;Yungang Liu;Qiang Li;Shaoli Jin

  • Switching event-triggered control for a class of uncertain nonlinear systems

    Yaxin Huang;Yungang Liu

  • Adaptive boundary stabilization for first‐order hyperbolic PDEs with unknown spatially varying parameter

    Zaihua Xu;Yungang Liu

  • Adaptive output feedback stabilization for a class of nonlinear systems with inherent nonlinearities and uncertainties

    Fang Shang;Yungang Liu;Chenghui Zhang

  • Distributed LQR Optimal Protocol for Leader-Following Consensus

    Hui Sun;Yungang Liu;Fengzhong Li;Xinglong Niu

  • Fully Distributed Adaptive Finite-Time Consensus for Uncertain Nonlinear Multiagent Systems.

    Le Zhao;Yungang Liu;Fengzhong Li;Yongchao Man

  • Global output‐feedback stabilization for high‐order nonlinear systems with unknown growth rate

    Yongchao Man;Yungang Liu

  • Event‐triggered output feedback H∞ control for networked control systems

    Yanjun Shen;Fengjiao Li;Daoyuan Zhang;Yan-Wu Wang

  • Switching Adaptive Controller for the Nonlinear Systems With Uncertainties From Unknown Powers

    Meiqiao Wang;Yungang Liu;Yongchao Man

  • Adaptive output‐feedback tracking for nonlinear systems with rather general control coefficients

    Xuehua Yan;Xuehua Yan;Wei Xing Zheng;Yungang Liu

  • Event-triggered controller via adaptive output-feedback for a class of uncertain nonlinear systems

    Hui Li;Yungang Liu;Yaxin Huang

  • Adaptive stabilization for ODE systems via boundary measurement of uncertain diffusion-dominated actuator dynamics

    Jian Li;Yungang Liu

  • Adaptive output feedback control for a class of planar nonlinear systems

    Fang Shang;Yungang Liu;Chenghui Zhang

  • Adaptive Leader-Following Consensus for Uncertain Nonlinear Multi-Agent Systems

    Xinglong Niu;Yungang Liu;Yongchao Man

  • Consensus via Time-Varying Feedback for Uncertain Stochastic Nonlinear Multiagent Systems

    Xinglong Niu;Yungang Liu;Fengzhong Li

Frequent Co-Authors

Chenghui Zhang
Chenghui Zhang Shandong University
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Yan-Wu Wang
Yan-Wu Wang Huazhong University of Science and Technology

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