World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
79
Citations
19516
World Ranking
560
National Ranking
88

Renquan Lu 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 Renquan Lu 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: 325 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Renquan Lu 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 Renquan Lu 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: 79 D-Index — 92nd percentile

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

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

Overview

Renquan Lu is affiliated with Guangdong University of Technology in China. Their research primarily spans the fields of Engineering and Computer Science, with significant contributions to Control and Systems Engineering, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics, as well as Electrical and Electronic Engineering.

Their work encompasses several main topics, including:

  • Distributed Control Multi-Agent Systems
  • Adaptive Control of Nonlinear Systems
  • Neural Networks Stability and Synchronization
  • Stability and Control of Uncertain Systems
  • Adaptive Dynamic Programming Control
  • Fault Detection and Control Systems
  • Target Tracking and Data Fusion in Sensor Networks

Renquan Lu's recent publications reflect a focus on nonlinear systems and multi-agent systems control, especially with adaptive and event-triggered control methods. Noteworthy papers include:

  • Adaptive event-triggered control for a class of nonlinear systems with periodic disturbances, 2020, Science China Information Sciences
  • Distributed Sliding-Mode Tracking Control of Second-Order Nonlinear Multiagent Systems: An Event-Triggered Approach, 2020, IEEE Transactions on Cybernetics
  • Adaptive Attitude Control of a Quadrotor Using Fast Nonsingular Terminal Sliding Mode, 2021, IEEE Transactions on Industrial Electronics
  • Adaptive Fixed-Time Control of Error-Constrained Pure-Feedback Interconnected Nonlinear Systems, 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • Observer-based adaptive consensus control for nonlinear multi-agent systems with time-delay, 2020, Science China Information Sciences

The frequent co-authors collaborating with Renquan Lu include Hongyi Li, Hongru Ren, Yong Xu, Hui Ma, and Deyin Yao. This indicates an established network of research partnerships.

Renquan Lu has published in a variety of scientific venues, with multiple works appearing in:

  • Science China Information Sciences
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • Automatica

In addition to journal articles, Renquan Lu has contributed to academic literature through book publications. One identified publication is a forthcoming title:

  • Intelligent Control of Nonlinear Systems and Nonlinear Multi-Agent Systems with Complex Constraints, expected in 2025, Springer Nature

Best Publications

  • Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone

    Hongyi Li;Hongyi Li;Shiyi Zhao;Wei He;Renquan Lu

  • Passivity-Based Asynchronous Control for Markov Jump Systems

    Zheng-Guang Wu;Peng Shi;Zhan Shu;Hongye Su

  • An Overview of Finite/Fixed-Time Control and its Application in Engineering Systems

    Unknown

  • Event-Triggered Control for Consensus of Multiagent Systems With Fixed/Switching Topologies

    Zheng-Guang Wu;Yong Xu;Renquan Lu;Yuanqing Wu

  • Trajectory-Tracking Control of Mobile Robot Systems Incorporating Neural-Dynamic Optimized Model Predictive Approach

    Zhijun Li;Jun Deng;Renquan Lu;Yong Xu

  • Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone

    Qi Zhou;Shiyi Zhao;Hongyi Li;Renquan Lu

  • Event-Triggered Consensus Control for Multi-Agent Systems Against False Data-Injection Attacks

    Xiao-Meng Li;Qi Zhou;Panshuo Li;Hongyi Li

  • Event-Triggered Control for Multiagent Systems With Sensor Faults and Input Saturation

    Liang Cao;Hongyi Li;Guowei Dong;Renquan Lu

  • Synchronization on complex networks of networks.

    Renquan Lu;Wenwu Yu;Jinhu Lu;Anke Xue

  • Asynchronous Dissipative State Estimation for Stochastic Complex Networks With Quantized Jumping Coupling and Uncertain Measurements

    Yong Xu;Renquan Lu;Hui Peng;Kan Xie

  • Adaptive Fuzzy Control of Stochastic Nonstrict-Feedback Nonlinear Systems With Input Saturation

    Hongyi Li;Lu Bai;Qi Zhou;Renquan Lu

  • Adaptive event-triggered control for a class of nonlinear systemswith periodic disturbances

    Hui Ma;Hongyi Li;Renquan Lu;Tingwen Huang

  • Consensus in Multi-Agent Systems With Second-Order Dynamics and Sampled Data

    Wenwu Yu;Lei Zhou;Xinghuo Yu;Jinhu Lu

  • Finite-Time Distributed State Estimation Over Sensor Networks With Round-Robin Protocol and Fading Channels

    Yong Xu;Renquan Lu;Peng Shi;Hongyi Li

  • Finite-Time Consensus Tracking Neural Network FTC of Multi-Agent Systems

    Guowei Dong;Hongyi Li;Hui Ma;Renquan Lu

  • Adaptive Prescribed Performance Control of A Flexible-Joint Robotic Manipulator With Dynamic Uncertainties.

    Hui Ma;Qi Zhou;Hongyi Li;Renquan Lu

  • Development and Learning Control of a Human Limb With a Rehabilitation Exoskeleton

    Renquan Lu;Zhijun Li;Chun-Yi Su;Anke Xue

  • Distributed Sliding-Mode Tracking Control of Second-Order Nonlinear Multiagent Systems: An Event-Triggered Approach

    Deyin Yao;Hongyi Li;Renquan Lu;Yang Shi

  • Prescribed Performance Observer-Based Adaptive Fuzzy Control for Nonstrict-Feedback Stochastic Nonlinear Systems

    Qi Zhou;Hongyi Li;Lijie Wang;Renquan Lu

  • Finite-Time Distributed Tracking Control for Multi-Agent Systems With a Virtual Leader

    Xiaoqing Lu;Renquan Lu;Shihua Chen;Jinhu Lu

  • Observer-Based Composite Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Actuator Failures

    Lijie Wang;Michael V. Basin;Hongyi Li;Renquan Lu

  • Adaptive Fuzzy Control for Nonstrict Feedback Systems With Unmodeled Dynamics and Fuzzy Dead Zone via Output Feedback

    Lijie Wang;Hongyi Li;Qi Zhou;Renquan Lu

Frequent Co-Authors

Peng Shi
Peng Shi University of Adelaide
Zheng-Guang Wu
Zheng-Guang Wu Zhejiang University
Hongye Su
Hongye Su Zhejiang University
Qi Zhou
Qi Zhou Guangdong University of Technology
Ridong Zhang
Ridong Zhang Hangzhou Dianzi University
Minyue Fu
Minyue Fu Southern University of Science and Technology
Furong Gao
Furong Gao Hong Kong University of Science and Technology
Chun-Yi Su
Chun-Yi Su Concordia University
Jinchuan Zheng
Jinchuan Zheng Swinburne University of Technology
Tingwen Huang
Tingwen Huang Shenzhen Institutes of Advanced Technology

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