World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
48
Citations
8354
World Ranking
3097
National Ranking
140

Guangjun 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 Guangjun 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: 249 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Guangjun 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 Guangjun 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: 48 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Guangjun Liu is affiliated with Toronto Metropolitan University in Canada and has a substantial body of work within the field of Engineering. Their research encompasses several specialized subfields including Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Civil and Structural Engineering, and Astronomy and Astrophysics.

Their research topics cover a broad range of areas related to robotics and planetary science. Key areas of focus include:

  • Robotic Locomotion and Control
  • Robot Manipulation and Learning
  • Prosthetics and Rehabilitation Robotics
  • Soil Mechanics and Vehicle Dynamics
  • Modular Robots and Swarm Intelligence
  • Robotic Path Planning Algorithms
  • Planetary Science and Exploration

Guangjun Liu has frequently collaborated with several coauthors, with notable partnerships including Liang Ding, Haibo Gao, Zongquan Deng, Huaiguang Yang, and Ruyi Zhou.

Their research has been published in various academic venues where they have multiple publications. The most frequent publication outlets include:

  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Robotics
  • IEEE/ASME Transactions on Mechatronics
  • arXiv (Cornell University)
  • Geotechnical and Geological Engineering

Among their recent papers are the following:

  • "Cooperative Game-Based Approximate Optimal Control of Modular Robot Manipulators for Human-Robot Collaboration" (2023), IEEE Transactions on Cybernetics
  • "Definition and Application of Variable Resistance Coefficient for Wheeled Mobile Robots on Deformable Terrain" (2020), IEEE Transactions on Robotics
  • "A 2-year locomotive exploration and scientific investigation of the lunar farside by the Yutu-2 rover" (2022), Science Robotics
  • "Surface characteristics of the Zhurong Mars rover traverse at Utopia Planitia" (2022), Nature Geoscience
  • "Dynamic Finite Element Modeling and Simulation of Soft Robots" (2022), Chinese Journal of Mechanical Engineering

Best Publications

  • Identification methods for Hammerstein nonlinear systems

    Feng Ding;Xiaoping Peter Liu;Guangjun Liu

  • Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems

    Feng Ding;Guangjun Liu;Xiaoping Peter Liu

  • An Adaptive Unscented Kalman Filtering Approach for Online Estimation of Model Parameters and State-of-Charge of Lithium-Ion Batteries for Autonomous Mobile Robots

    Maral Partovibakhsh;Guangjun Liu

  • Parameter estimation with scarce measurements

    Feng Ding;Guangjun Liu;Xiaoping P. Liu

  • Multiinnovation Least-Squares Identification for System Modeling

    Feng Ding;Peter X Liu;Guangjun Liu

  • Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data

    Jie Ding;Feng Ding;X. P. Liu;Guangjun Liu

  • Gradient based and least-squares based iterative identification methods for OE and OEMA systems

    Feng Ding;Peter X. Liu;Guangjun Liu

  • Estimation of Battery State of Charge With $H_{\infty}$ Observer: Applied to a Robot for Inspecting Power Transmission Lines

    Fei Zhang;Guangjun Liu;Lijin Fang;Hongguang Wang

  • Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises

    Feng Ding;Peter X. Liu;Guangjun Liu

  • Foot-terrain interaction mechanics for legged robots: Modeling and experimental validation

    Liang Ding;Haibo Gao;Zongquan Deng;Jianhu Song

  • Robust hybrid impedance control of robot manipulators

    G.J. Liu;A.A. Goldenberg

  • On velocity estimation using position measurements

    G. Liu

  • Interaction Mechanics Model for Rigid Driving Wheels of Planetary Rovers Moving on Sandy Terrain with Consideration of Multiple Physical Effects

    Liang Ding;Zongquan Deng;Haibo Gao;Jianguo Tao

  • Torque Estimation for Robotic Joint With Harmonic Drive Transmission Based on Position Measurements

    Hongwei Zhang;Saleh Ahmad;Guangjun Liu

  • Track--Stair Interaction Analysis and Online Tipover Prediction for a Self-Reconfigurable Tracked Mobile Robot Climbing Stairs

    Yugang Liu;Guangjun Liu

  • Distributed control of modular and reconfigurable robot with torque sensing

    Guangjun Liu;Sajan Abdul;Andrew a. Goldenberg

  • Robust Control of an Aerial Manipulator Based on a Variable Inertia Parameters Model

    Guangyu Zhang;Yuqing He;Bo Dai;Feng Gu

  • Decomposition-based friction compensation of mechanical systems

    G. Liu

  • A base force/torque sensor approach to robot manipulator inertial parameter estimation

    Guangjun Liu;K. Iagnemma;S. Dubowsky;G. Morel

  • Precise slow motion control of a direct-drive robot arm with velocity estimation and friction compensation

    G Liu;A.A Goldenberg;Y Zhang

  • Uncertainty decomposition-based robust control of robot manipulators

    G. Liu;A.A. Goldenberg

Frequent Co-Authors

Liang Ding
Liang Ding Harbin Institute of Technology
Zongquan Deng
Zongquan Deng Harbin Institute of Technology
Andrew A. Goldenberg
Andrew A. Goldenberg University of Toronto
Krishna Dev Kumar
Krishna Dev Kumar Toronto Metropolitan University
Peter X. Liu
Peter X. Liu Carleton University
Bin Wu
Bin Wu Toronto Metropolitan University
Jin Jiang
Jin Jiang University of Western Ontario
Seiichiro Katsura
Seiichiro Katsura Keio University
Guillaume Morel
Guillaume Morel Sorbonne University

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