World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
8220
World Ranking
4885
National Ranking
945

Yong Wang 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 Yong Wang 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: 374 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Yong Wang 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 Yong Wang 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: 47 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Yong Wang is affiliated with the University of Science and Technology of China and has a research focus primarily situated within the field of Engineering. Their work spans various subfields including Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Mechanical Engineering, and Atomic and Molecular Physics, and Optics.

Their research topics cover diverse areas such as Advanced Control Systems Design, Fractional Differential Equations Solutions, Adaptive Control of Nonlinear Systems, Stability and Control of Uncertain Systems, Extremum Seeking Control Systems, Frequency Control in Power Systems, and the Physics of Superconductivity and Magnetism.

Yong Wang has published in several frequent venues which include:

  • arXiv (Cornell University)
  • Asian Journal of Control
  • ISA Transactions
  • IEEE Transactions on Applied Superconductivity
  • Applied Surface Science

Among recent publications, notable papers include:

  • "Multiplexed Nanomaterial-Based Sensor Array for Detection of COVID-19 in Exhaled Breath," 2020, ACS Nano
  • "StyleSwin: Transformer-based GAN for High-resolution Image Generation," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "A novel Grey Bernoulli model for short-term natural gas consumption forecasting," 2020, Applied Mathematical Modelling
  • "Generalization of the gradient method with fractional order gradient direction," 2020, Journal of the Franklin Institute
  • "Mittag-Leffler stability of nabla discrete fractional-order dynamic systems," 2020, Nonlinear Dynamics

Yong Wang frequently collaborates with other researchers including Yiheng Wei, Yuquan Chen, Sihui Wang, Wei Wei, and Jiachang Wang.

Best Publications

  • Technical communique: Distributed event-triggered control of multi-agent systems with combinational measurements

    Yuan Fan;Gang Feng;Yong Wang;Cheng Song

  • Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation

    Unknown

  • Self-Triggered Consensus for Multi-Agent Systems With Zeno-Free Triggers

    Yuan Fan;Lu Liu;Gang Feng;Yong Wang

  • StyleSwin: Transformer-based GAN for High-resolution Image Generation

    Unknown

  • Improved mispronunciation detection with deep neural network trained acoustic models and transfer learning based logistic regression classifiers

    Wenping Hu;Wenping Hu;Yao Qian;Frank K. Soong;Yong Wang

  • A novel algorithm on adaptive backstepping control of fractional order systems

    Yiheng Wei;Yuquan Chen;Shu Liang;Yong Wang

  • Adaptive backstepping output feedback control for a class of nonlinear fractional order systems

    Yiheng Wei;Peter W. Tse;Zhao Yao;Yong Wang

  • T–S-Fuzzy-Model-Based Approximation and Controller Design for General Nonlinear Systems

    Qing Gao;Xiao-Jun Zeng;Gang Feng;Yong Wang

  • A New Design of Robust ${ m H}_{\infty}$ Sliding Mode Control for Uncertain Stochastic T-S Fuzzy Time-Delay Systems

    Qing Gao;Gang Feng;Zhiyu Xi;Yong Wang

  • Study on fractional order gradient methods

    Yuquan Chen;Qing Gao;Yiheng Wei;Yong Wang

  • Robust stability analysis for a class of fractional order systems with uncertain parameters

    Zeng Liao;Cheng Peng;Wang Li;Yong Wang

  • A novel Grey Bernoulli model for short-term natural gas consumption forecasting

    Wenqing Wu;Wenqing Wu;Xin Ma;Xin Ma;Bo Zeng;Wangyong Lv

  • Universal Fuzzy Integral Sliding-Mode Controllers Based on T–S Fuzzy Models

    Qing Gao;Lu Liu;Gang Feng;Yong Wang

  • The output feedback control synthesis for a class of singular fractional order systems

    Yiheng Wei;Peter W. Tse;Zhao Yao;Yong Wang

  • Universal Fuzzy Models and Universal Fuzzy Controllers for Stochastic Nonaffine Nonlinear Systems

    Qing Gao;Gang Feng;Yong Wang;Jianbin Qiu

  • Online active learning of decision trees with evidential data

    Liyao Ma;Sébastien Destercke;Yong Wang

  • Persistent awareness coverage control for mobile sensor networks

    Cheng Song;Lu Liu;Gang Feng;Gang Feng;Yong Wang

  • Brief paper: Decentralized adaptive awareness coverage control for multi-agent networks

    Cheng Song;Gang Feng;Yuan Fan;Yong Wang

  • A note on short memory principle of fractional calculus

    Yiheng Wei;Yuquan Chen;Songsong Cheng;Yong Wang

  • An innovative fractional order LMS based on variable initial value and gradient order

    Songsong Cheng;Yiheng Wei;Yuquan Chen;Yan Li

  • A new trust region method for nonlinear equations

    Ju-liang Zhang;Yong Wang

  • Generalization of the gradient method with fractional order gradient direction

    Yiheng Wei;Yu Kang;Weidi Yin;Yong Wang

  • Identification for Hammerstein nonlinear ARMAX systems based on multi-innovation fractional order stochastic gradient

    Songsong Cheng;Yiheng Wei;Dian Sheng;Yuquan Chen

  • Robust ${\mathscr H}_{\infty }$ Control of T–S Fuzzy Time-Delay Systems via a New Sliding-Mode Control Scheme

    Qing Gao;Gang Feng;Zhiyu Xi;Yong Wang

  • Subspace identification for fractional order Hammerstein systems based on instrumental variables

    Zeng Liao;Zhuting Zhu;Shu Liang;Cheng Peng

  • Indirect model reference adaptive control for a class of fractional order systems

    Yuquan Chen;Yiheng Wei;Shu Liang;Yong Wang

  • Lyapunov functions for nabla discrete fractional order systems

    Yiheng Wei;Yuquan Chen;Tianyu Liu;Yong Wang

Frequent Co-Authors

Gang Feng
Gang Feng City University of Hong Kong
Jianbin Qiu
Jianbin Qiu Harbin Institute of Technology
Peter W. Tse
Peter W. Tse City University of Hong Kong
Lu Liu
Lu Liu City University of Hong Kong
YangQuan Chen
YangQuan Chen University of California, Merced
James K. Mills
James K. Mills University of Toronto
Hamid Reza Karimi
Hamid Reza Karimi Polytechnic University of Milan
Xiao-Jun Zeng
Xiao-Jun Zeng University of Manchester
Yun-Hui Liu
Yun-Hui Liu Chinese University of Hong Kong
Yu Kang
Yu Kang University of Science and Technology of China

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