World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
67
Citations
13896
World Ranking
1107
National Ranking
198

Yang Tang 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 Yang Tang 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: 223 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Yang Tang 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 Yang Tang 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: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Yang Tang is affiliated with East China University of Science and Technology in China. Their research activity spans major areas in computer science and engineering, focusing on several interrelated subfields.

The primary fields of study include:

  • Computer Science
  • Engineering

Their specialized subfields cover:

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Electrical and Electronic Engineering

The scientific topics that Yang Tang has contributed extensively to include:

  • Distributed Control Multi-Agent Systems
  • Neural Networks Stability and Synchronization
  • Smart Grid Security and Resilience
  • Advanced Vision and Imaging
  • Adaptive Control of Nonlinear Systems
  • Stability and Control of Uncertain Systems
  • Smart Grid Energy Management

Yang Tang has frequently published in several research venues, highlighting a strong presence in both engineering and computer science communities. The most common publication venues are:

  • IEEE Transactions on Circuits and Systems I Regular Papers
  • arXiv (Cornell University)
  • Automatica
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Automatic Control

Recent papers authored by or closely related to Yang Tang's research focus include:

  • A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development (2023), IEEE/CAA Journal of Automatica Sinica
  • Consensus of multi-agent systems via fully distributed event-triggered control (2020), Automatica
  • Adaptive Event-Triggered Consensus of Multiagent Systems on Directed Graphs (2020), IEEE Transactions on Automatic Control
  • Monocular depth estimation based on deep learning: An overview (2020), Science China Technological Sciences
  • Signal propagation in complex networks (2023), Physics Reports

Collaborative work is an important aspect of Yang Tang's research, with frequent co-authors including:

  • Feng Qian
  • Qiyu Sun
  • Shuai Mao
  • Chaoqiang Zhao
  • Jürgen Kurths

Best Publications

  • Synchronization in complex networks and its application – A survey of recent advances and challenges

    Yang Tang;Yang Tang;Feng Qian;Huijun Gao;Huijun Gao;Jürgen Kurths

  • Consensus of multi-agent systems via fully distributed event-triggered control

    Xianwei Li;Xianwei Li;Yang Tang;Hamid Reza Karimi

  • Tracking Control of Networked Multi-Agent Systems Under New Characterizations of Impulses and Its Applications in Robotic Systems

    Yang Tang;Xing Xing;Hamid Reza Karimi;Ljupco Kocarev

  • Distributed Synchronization in Networks of Agent Systems With Nonlinearities and Random Switchings

    Yang Tang;Huijun Gao;Wei Zou;Jürgen Kurths

  • Adaptive Event-Triggered Consensus of Multiagent Systems on Directed Graphs

    Xianwei Li;Zhiyong Sun;Yang Tang;Hamid Reza Karimi

  • Leader-following consensus of a class of stochastic delayed multi-agent systems with partial mixed impulses

    Yang Tang;Huijun Gao;Wenbing Zhang;Jürgen Kurths

  • Monocular Depth Estimation Based On Deep Learning: An Overview

    ChaoQiang Zhao;QiYu Sun;ChongZhen Zhang;Yang Tang

  • Event-Triggered Control for Consensus Problem in Multi-Agent Systems With Quantized Relative State Measurements and External Disturbance

    Zheng-Guang Wu;Yong Xu;Ya-Jun Pan;Housheng Su

  • Sampled-Data Consensus of Linear Multi-agent Systems With Packet Losses

    Wenbing Zhang;Yang Tang;Tingwen Huang;Jurgen Kurths

  • Event-Based Formation Control for Nonlinear Multiagent Systems Under DoS Attacks

    Yang Tang;Dandan Zhang;Peng Shi;Wenbing Zhang

  • Input-to-state stability of impulsive stochastic delayed systems under linear assumptions

    Xiaotai Wu;Yang Tang;Wenbing Zhang

  • Distributed Synchronization of Coupled Neural Networks via Randomly Occurring Control

    Yang Tang;Wai Keung Wong

  • Exponential Synchronization of Coupled Switched Neural Networks With Mode-Dependent Impulsive Effects

    Wenbing Zhang;Yang Tang;Qingying Miao;Wei Du

  • Predefined-Time Consensus Tracking of Second-Order Multiagent Systems

    Junkang Ni;Ling Liu;Yang Tang;Chongxin Liu

  • On Controllability of Delayed Boolean Control Networks

    Jianquan Lu;Jie Zhong;Daniel W. C. Ho;Yang Tang

  • Input-to-state stability for nonlinear systems with stochastic impulses

    Yang Tang;Xiaotai Wu;Peng Shi;Feng Qian

  • Secure Communication Based on Quantized Synchronization of Chaotic Neural Networks Under an Event-Triggered Strategy

    Wangli He;Tinghui Luo;Yang Tang;Wenli Du

  • Synchronization of Nonlinear Dynamical Networks With Heterogeneous Impulses

    Wenbing Zhang;Yang Tang;Xiaotai Wu;Jian-An Fang

  • Stability Analysis for Continuous-Time Switched Systems With Stochastic Switching Signals

    Xiaotai Wu;Yang Tang;Jinde Cao;Xuerong Mao

  • Adaptive population tuning scheme for differential evolution

    Wu Zhu;Yang Tang;Jian-An Fang;Wenbing Zhang

  • Opportunities and Challenges of Artificial Intelligence for Green Manufacturing in the Process Industry

    Shuai Mao;Bing Wang;Yang Tang;Feng Qian

  • Distributed Robust Synchronization of Dynamical Networks With Stochastic Coupling

    Yang Tang;Huijun Gao;Jurgen Kurths

  • Evolutionary Pinning Control and Its Application in UAV Coordination

    Yang Tang;Huijun Gao;J. Kurths;Jian-an Fang

  • Event-Triggering Containment Control for a Class of Multi-Agent Networks With Fixed and Switching Topologies

    Wenbing Zhang;Yang Tang;Yurong Liu;Jurgen Kurths

Frequent Co-Authors

Jürgen Kurths
Jürgen Kurths Potsdam Institute for Climate Impact Research
Feng Qian
Feng Qian Fudan University
Huijun Gao
Huijun Gao Harbin Institute of Technology
Jinde Cao
Jinde Cao Southeast University
Zidong Wang
Zidong Wang Brunel University London
Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder
Wai Keung Wong
Wai Keung Wong Hong Kong Polytechnic University
Tingwen Huang
Tingwen Huang Shenzhen Institutes of Advanced Technology
Jianquan Lu
Jianquan Lu Southeast University
Wenli Du
Wenli Du East China University of Science and Technology

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