World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
50
Citations
8183
World Ranking
2853
National Ranking
474

Yongping Pan 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 Yongping Pan 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: 143 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Yongping Pan 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 Yongping Pan 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: 50 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Yongping Pan is affiliated with Sun Yat-sen University in China and has a research portfolio encompassing engineering and computer science with a focus on control systems and artificial intelligence. Their main fields of study include Engineering, with 139 publications, and Computer Science, with 45 publications. Within these disciplines, their work primarily targets subfields such as Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition, and Mechanical Engineering.

The scientist has contributed to numerous specialized topics, including:

  • Iterative Learning Control Systems
  • Adaptive Control of Nonlinear Systems
  • Advanced Control Systems Optimization
  • Robot Manipulation and Learning
  • Neural Networks and Applications
  • Advanced Vision and Imaging
  • Neural Networks and Reservoir Computing

Yongping Pan frequently collaborates with several coauthors, notably:

  • Weibing Li (16 joint publications)
  • Heng Liu (9 joint publications)
  • Jinde Cao (8 joint publications)
  • Chenguang Yang (6 joint publications)
  • Kai Guo (6 joint publications)

The scientist often publishes in key venues related to industrial electronics and neural networks, including:

  • IEEE Transactions on Industrial Electronics (8 publications)
  • arXiv (Cornell University) (5 publications)
  • IEEE Transactions on Neural Networks and Learning Systems (4 publications)
  • IEEE Robotics and Automation Letters (4 publications)
  • IEEE/ASME Transactions on Mechatronics (4 publications)

Recent notable papers authored by Yongping Pan include:

  • Adaptive Neural Network Backstepping Control of Fractional-Order Nonlinear Systems With Actuator Faults, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Composite Learning Enhanced Neural Control for Robot Manipulator With Output Error Constraints, 2020, IEEE Transactions on Industrial Informatics
  • Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • Positivity and Stability Analysis for Fractional-Order Delayed Systems: A T-S Fuzzy Model Approach, 2020, IEEE Transactions on Fuzzy Systems
  • Adaptive Tracking Control of Hydraulic Systems With Improved Parameter Convergence, 2021, IEEE Transactions on Industrial Electronics

Best Publications

  • Human–Robot Interaction Control of Rehabilitation Robots With Series Elastic Actuators

    Haoyong Yu;Sunan Huang;Gong Chen;Yongping Pan

  • Global Neural Dynamic Surface Tracking Control of Strict-Feedback Systems With Application to Hypersonic Flight Vehicle

    Bin Xu;Chenguang Yang;Yongping Pan

  • Adaptive Fuzzy Backstepping Control of Fractional-Order Nonlinear Systems

    Heng Liu;Yongping Pan;Shenggang Li;Ye Chen

  • Neural network-based sliding mode adaptive control for robot manipulators

    Tairen Sun;Hailong Pei;Yongping Pan;Hongbo Zhou

  • Composite Learning From Adaptive Dynamic Surface Control

    Yongping Pan;Haoyong Yu

  • Integral Sliding Mode Control: Performance, Modification, and Improvement

    Yongping Pan;Chenguang Yang;Lin Pan;Haoyong Yu

  • Adaptive Command-Filtered Backstepping Control of Robot Arms With Compliant Actuators

    Yongping Pan;Huiming Wang;Xiang Li;Haoyong Yu

  • Adaptive Neural Network Backstepping Control of Fractional-Order Nonlinear Systems With Actuator Faults

    Heng Liu;Yongping Pan;Jinde Cao;Hongxing Wang

  • Disturbance Observer Based Composite Learning Fuzzy Control of Nonlinear Systems with Unknown Dead Zone

    Bin Xu;Fuchun Sun;Yongping Pan;Badong Chen

  • Adaptive Human–Robot Interaction Control for Robots Driven by Series Elastic Actuators

    Xiang Li;Yongping Pan;Gong Chen;Haoyong Yu

  • Composite learning robot control with guaranteed parameter convergence

    Yongping Pan;Haoyong Yu

  • Personalized Variable Gain Control With Tremor Attenuation for Robot Teleoperation

    Chenguang Yang;Jing Luo;Yongping Pan;Zhi Liu

  • Composite adaptive fuzzy H∞ tracking control of uncertain nonlinear systems

    Yongping Pan;Yu Zhou;Tairen Sun;Meng Joo Er

  • Efficient PID Tracking Control of Robotic Manipulators Driven by Compliant Actuators

    Yongping Pan;Xiang Li;Haoyong Yu

  • Composite Learning Adaptive Dynamic Surface Control of Fractional-Order Nonlinear Systems

    Heng Liu;Yongping Pan;Jinde Cao

  • Hybrid feedback feedforward

    Yongping Pan;Yiqi Liu;Bin Xu;Haoyong Yu

  • Adaptive Fuzzy Control With Guaranteed Convergence of Optimal Approximation Error

    Yongping Pan;Meng Joo Er;Daoping Huang;Qinruo Wang

  • Composite Learning Robot Control With Friction Compensation: A Neural Network-Based Approach

    Kai Guo;Yongping Pan;Haoyong Yu

  • Composite Learning Enhanced Neural Control for Robot Manipulator With Output Error Constraints

    Dianye Huang;Chenguang Yang;Yongping Pan;Long Cheng

  • Biomimetic Hybrid Feedback Feedforward Neural-Network Learning Control

    Yongping Pan;Haoyong Yu

Frequent Co-Authors

Haoyong Yu
Haoyong Yu National University of Singapore
Meng Joo Er
Meng Joo Er Dalian Maritime University
Long Cheng
Long Cheng Chinese Academy of Sciences
Chenguang Yang
Chenguang Yang University of Liverpool
Mohamed Darouach
Mohamed Darouach University of Lorraine
Young Hoon Joo
Young Hoon Joo Kunsan National University
Fuchun Sun
Fuchun Sun Tsinghua University
Qilin Wang
Qilin Wang University of Technology Sydney
Jinde Cao
Jinde Cao Southeast University
Mahardhika Pratama
Mahardhika Pratama University of South Australia

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