World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
84
Citations
29047
World Ranking
406
National Ranking
192

Zongli Lin 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 Zongli Lin 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: 586 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Zongli Lin 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 Zongli Lin 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: 84 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2007 - IEEE Fellow For contributions to linear and nonlinear control theory

Overview

Zongli Lin is affiliated with the University of Virginia in the United States and has a research portfolio situated primarily within engineering and computer science. Their work encompasses a broad range of subfields focusing on control and systems engineering, computer networks and communications, electrical and electronic engineering, computational theory and mathematics, and artificial intelligence.

Their main research topics include:

  • Stability and Control of Uncertain Systems
  • Distributed Control Multi-Agent Systems
  • Adaptive Dynamic Programming Control
  • Adaptive Control of Nonlinear Systems
  • Microgrid Control and Optimization
  • Stability and Controllability of Differential Equations
  • Advanced Control Systems Optimization

Zongli Lin's publication record contains numerous articles in a variety of scientific venues. Some frequent publication venues are:

  • International Journal of Robust and Nonlinear Control
  • IEEE Transactions on Automatic Control
  • Automatica
  • IEEE Transactions on Control of Network Systems
  • arXiv (Cornell University)

Recent representative papers include:

  • "Cancer diagnosis using generative adversarial networks based on deep learning from imbalanced data" (2021), published in Computers in Biology and Medicine
  • "An Event-Triggered Observer and Its Applications in Cooperative Control of Multiagent Systems" (2021), published in IEEE Transactions on Automatic Control
  • "Distributed Cooperative Control of Battery Energy Storage Systems in DC Microgrids" (2021), published in IEEE/CAA Journal of Automatica Sinica
  • "PID Control for Synchronization of Complex Dynamical Networks With Directed Topologies" (2020), published in IEEE Transactions on Cybernetics
  • "Output feedback adaptive dynamic programming for linear differential zero-sum games" (2020), published in Automatica

The scientist has collaborated extensively with several colleagues, among the most frequent coauthors being:

  • Y. Shamash
  • Syed Ali Asad Rizvi
  • Yan Wan
  • Yusheng Wei
  • Yang-Yang Qian

Zongli Lin has contributed to book publications with Springer International Publishing, including:

  • "Truncated Predictor Based Feedback Designs for Linear Systems with Input Delay" (2020)
  • "Output Feedback Reinforcement Learning Control for Linear Systems" (2022)

In recognition of their work, Zongli Lin was named a Fellow of the American Association for the Advancement of Science (AAAS) in 2012. Additionally, they were designated IEEE Fellow in 2007 for contributions to linear and nonlinear control theory.

Best Publications

  • Control Systems with Actuator Saturation: Analysis and Design

    Tingshu Hu;Zongli Lin

  • Control Systems with Actuator Saturation

    Tingshu Hu;Zongli Lin

  • Control of linear systems with saturating actuators

    A. Saberi;Zongli Lin;A.R. Teel

  • Flocking of Multi-Agents With a Virtual Leader

    Housheng Su;Xiaofan Wang;Zongli Lin

  • Brief An analysis and design method for linear systems subject to actuator saturation and disturbance

    Tingshu Hu;Zongli Lin;Ben M. Chen

  • A survey of distributed optimization

    Tao Yang;Xinlei Yi;Junfeng Wu;Ye Yuan

  • Brief paper: Adaptive second-order consensus of networked mobile agents with nonlinear dynamics

    Housheng Su;Guanrong Chen;Xiaofan Wang;Zongli Lin

  • Analysis and design for discrete-time linear systems subject to actuator saturation☆

    Tingshu Hu;Zongli Lin;Ben M. Chen

  • Semi-global exponential stabilization of linear systems subject to “input saturation” via linear feedbacks

    Zongli Lin;Ali Saberi

  • Semi-Global Leader-Following Consensus of Linear Multi-Agent Systems With Input Saturation via Low Gain Feedback

    Housheng Su;M. Z. Q. Chen;J. Lam;Zongli Lin

  • Low gain feedback

    Zongli Lin

  • Robust stability analysis and fuzzy-scheduling control for nonlinear systems subject to actuator saturation

    Yong-Yan Cao;Zongli Lin

  • Composite quadratic Lyapunov functions for constrained control systems

    Tingshu Hu;Zongli Lin

  • Toward improvement of tracking performance nonlinear feedback for linear systems

    Zongli Lin;Meir Pachter;Siva Banda

  • Consensus of high-order multi-agent systems with large input and communication delays

    Bin Zhou;Zongli Lin

  • Truncated predictor feedback for linear systems with long time-varying input delays

    Bin Zhou;Zongli Lin;Guang-Ren Duan

  • An antiwindup approach to enlarging domain of attraction for linear systems subject to actuator saturation

    Yong-Yan Cao;Zongli Lin;D.G. Ward

  • Brief Stability analysis of discrete-time systems with actuator saturation by a saturation-dependent Lyapunov function

    Yong-Yan Cao;Zongli Lin

  • Stability analysis of linear time-delay systems subject to input saturation

    Yong-Yan Cao;Zongli Lin;Tingshu Hu

  • A Parametric Lyapunov Equation Approach to the Design of Low Gain Feedback

    Bin Zhou;Guangren Duan;Zongli Lin

  • An analysis and design method for linear systems subject to actuator saturation and disturbance

    Tingshu Hu;Zongli Lin;B.M. Chen

  • Flocking of multi-agents with a virtual leader part I: with a minority of informed agents

    Housheng Su;Xiaofan Wang;Zongli Lin

Frequent Co-Authors

Ali Saberi
Ali Saberi Washington State University
Tingshu Hu
Tingshu Hu University of Massachusetts Lowell
Bin Zhou
Bin Zhou Harbin Institute of Technology
Paul E. Allaire
Paul E. Allaire University of Virginia
Ben M. Chen
Ben M. Chen Chinese University of Hong Kong
Guang-Ren Duan
Guang-Ren Duan Harbin Institute of Technology
Yong-Yan Cao
Yong-Yan Cao Wuhan University of Science and Technology
Ziyang Meng
Ziyang Meng Tsinghua University
Scott T. Acton
Scott T. Acton University of Virginia
Anton A. Stoorvogel
Anton A. Stoorvogel University of Twente

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