World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
105
Citations
32781
World Ranking
145
National Ranking
70

Derong Liu 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 Derong Liu 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: 650 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Derong Liu 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 Derong Liu 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: 105 D-Index — 98th percentile

98% 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

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2005 - IEEE Fellow For contributions to nonlinear dynamical systems and recurrent neural networks.

Overview

Derong Liu is affiliated with the University of Illinois at Chicago in the United States. Their research primarily spans the fields of Computer Science and Engineering, with significant contributions to subfields such as Computational Theory and Mathematics, Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering, and Biomedical Engineering.

The scientist's principal research topics include Adaptive Dynamic Programming Control, Reinforcement Learning in Robotics, Adaptive Control of Nonlinear Systems, Frequency Control in Power Systems, Mechanical Circulatory Support Devices, Advanced Technologies in Various Fields, and Smart Grid Energy Management.

Among recent publications, notable works are:

  • Adaptive Dynamic Programming for Control: A Survey and Recent Advances (2020), IEEE Transactions on Systems Man and Cybernetics Systems
  • Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications (2023), IEEE/CAA Journal of Automatica Sinica
  • Deep Learning-Based Trajectory Planning and Control for Autonomous Ground Vehicle Parking Maneuver (2022), IEEE Transactions on Automation Science and Engineering
  • Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning (2022), IEEE Transactions on Neural Networks and Learning Systems
  • Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks (2020), IEEE/CAA Journal of Automatica Sinica

Frequent co-authors contributing significantly to the scientific output alongside Derong Liu include Bo Zhao, Yongwei Zhang, Shan Xue, Ding Wang, and Shunchao Zhang.

The scientist has regularly published in several prominent venues, with repeated contributions to:

  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Neural Networks and Learning Systems
  • Neural Networks
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • Neurocomputing

Derong Liu has also contributed to a number of book publications under Springer International Publishing, including titles such as Information Systems and Technologies (2022), Human Interaction, Emerging Technologies and Future Systems V (2021), Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities (2021), and Cyber Security, Privacy and Networking (2022), among others.

In recognition of contributions to nonlinear dynamical systems and recurrent neural networks, Derong Liu was named an IEEE Fellow in 2005.

Best Publications

  • Adaptive Dynamic Programming: An Introduction

    Fei-Yue Wang;Huaguang Zhang;Derong Liu

  • Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems

    Derong Liu;Qinglai Wei

  • A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks

    Huaguang Zhang;Zhanshan Wang;Derong Liu

  • Neural-Network-Based Near-Optimal Control for a Class of Discrete-Time Affine Nonlinear Systems With Control Constraints

    Huaguang Zhang;Yanhong Luo;Derong Liu

  • Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

    Frank L. Lewis;Derong Liu

  • Adaptive Dynamic Programming for Control: A Survey and Recent Advances

    Derong Liu;Shan Xue;Bo Zhao;Biao Luo

  • Networked Control Systems: Theory and Applications

    Fei-Yue Wang;Derong Liu

  • Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems

    Qinglai Wei;Derong Liu;Hanquan Lin

  • An iterative adaptive dynamic programming method for solving a class of nonlinear zero-sum differential games

    Huaguang Zhang;Qinglai Wei;Derong Liu

  • Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints

    Derong Liu;Xiong Yang;Ding Wang;Qinglai Wei

  • Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming

    Ding Wang;Derong Liu;Qinglai Wei;Dongbin Zhao

  • Adaptive Critic Nonlinear Robust Control: A Survey

    Ding Wang;Haibo He;Derong Liu

  • Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays

    Huaguang Zhang;Zhanshan Wang;Derong Liu

  • Fuzzy Modeling and Fuzzy Control

    Derong Liu;Huaguang Zhang

  • Decentralized Stabilization for a Class of Continuous-Time Nonlinear Interconnected Systems Using Online Learning Optimal Control Approach

    Derong Liu;Ding Wang;Hongliang Li

  • Adaptive Dynamic Programming for Control: Algorithms and Stability

    Huaguang Zhang;Derong Liu;Yanhong Luo;Ding Wang

  • Adaptive Dynamic Programming for Finite-Horizon Optimal Control of Discrete-Time Nonlinear Systems With $ arepsilon$ -Error Bound

    Fei-Yue Wang;Ning Jin;Derong Liu;Qinglai Wei

  • Finite-Approximation-Error-Based Optimal Control Approach for Discrete-Time Nonlinear Systems

    Derong Liu;Qinglai Wei

  • Model-Free Optimal Tracking Control via Critic-Only Q-Learning

    Biao Luo;Derong Liu;Tingwen Huang;Ding Wang

  • Stability of Dynamical Systems

    Anthony N. Michel;Derong Liu;Ling Hou

  • Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems

    Derong Liu;Ding Wang;Fei-Yue Wang;Hongliang Li

Frequent Co-Authors

Ding Wang
Ding Wang Beijing University of Technology
Qinglai Wei
Qinglai Wei Macau University of Science and Technology
Xiong Yang
Xiong Yang Tianjin University
Huaguang Zhang
Huaguang Zhang Northeastern University
Anthony N. Michel
Anthony N. Michel University of Notre Dame
Dongbin Zhao
Dongbin Zhao Chinese Academy of Sciences
Haibo He
Haibo He University of Rhode Island
David B. Fogel
David B. Fogel Torrey Pines Institute For Molecular Studies
James M. Keller
James M. Keller University of Missouri
Cesare Alippi
Cesare Alippi Polytechnic University of Milan

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