World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
70
Citations
17004
World Ranking
932
National Ranking
161

Min Tan 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 Min Tan 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: 566 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Min Tan 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 Min Tan 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: 70 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

Min Tan is affiliated with the Chinese Academy of Sciences in China and has contributed to the fields of Computer Science and Engineering through extensive research and publications. Their work spans specialized areas including Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science, Computational Mechanics, and Control and Systems Engineering.

Their research addresses several key topics within these fields, notably:

  • 3D Shape Modeling and Analysis
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Computer Graphics and Visualization Techniques
  • Image Enhancement Techniques

Min Tan has published papers in various reputable venues, with a notable presence in journals and conferences including:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Robotics and Automation Letters
  • Information Processing & Management
  • ACM Transactions on Multimedia Computing Communications and Applications
  • IEEE Antennas and Wireless Propagation Letters

Recent publications by Min Tan include the following papers:

  • Fine-grained Image Classification via Multi-scale Selective Hierarchical Biquadratic Pooling (2022), published in ACM Transactions on Multimedia Computing Communications and Applications
  • Static Hand Gesture Recognition With Electromagnetic Scattered Field via Complex Attention Convolutional Neural Network (2020), published in IEEE Antennas and Wireless Propagation Letters
  • FedSea: Federated Learning via Selective Feature Alignment for Non-IID Multimodal Data (2023), published in IEEE Transactions on Multimedia

Additionally, Min Tan has contributed as a co-author on works such as Fashion analysis and understanding with artificial intelligence (2020) published in Information Processing & Management.

Collaborations form an important aspect of their research, with frequent co-authors including:

  • Jun Yu
  • Xiaoling Gu
  • Kuiwen Xu
  • Yinfu Feng
  • Tao Jin

Best Publications

  • Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks

    Zeng-Guang Hou;Long Cheng;Min Tan

  • Development of a biomimetic robotic fish and its control algorithm

    Junzhi Yu;Min Tan;Shuo Wang;Erkui Chen

  • Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems With Uncertainties

    Long Cheng;Zeng-Guang Hou;Min Tan;Yingzi Lin

  • Adaptive Control of a Class of Nonlinear Pure-Feedback Systems Using Fuzzy Backstepping Approach

    An-Min Zou;Zeng-Guang Hou;Min Tan

  • A Survey on CPG-Inspired Control Models and System Implementation

    Junzhi Yu;Min Tan;Jian Chen;Jianwei Zhang

  • Adaptive Control of an Electrically Driven Nonholonomic Mobile Robot via Backstepping and Fuzzy Approach

    Zeng-Guang Hou;An-Min Zou;Long Cheng;Min Tan

  • Neural-Network-Based Nonlinear Model Predictive Control for Piezoelectric Actuators

    Long Cheng;Weichuan Liu;Zeng-Guang Hou;Junzhi Yu

  • Measurement and Defect Detection of the Weld Bead Based on Online Vision Inspection

    Yuan Li;You Fu Li;Qing Lin Wang;De Xu

  • Brief paper: Adaptive neural network tracking control for manipulators with uncertain kinematics, dynamics and actuator model

    Long Cheng;Zeng-Guang Hou;Min Tan

  • Necessary and Sufficient Conditions for Consensus of Double-Integrator Multi-Agent Systems With Measurement Noises

    Long Cheng;Zeng-Guang Hou;Min Tan;Xu Wang

  • A Mean Square Consensus Protocol for Linear Multi-Agent Systems With Communication Noises and Fixed Topologies

    Long Cheng;Zeng-Guang Hou;Min Tan

  • Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks

    Long Cheng;Zeng-Guang Hou;Yingzi Lin;Min Tan

  • sEMG-based continuous estimation of joint angles of human legs by using BP neural network

    Feng Zhang;Pengfeng Li;Zeng-Guang Hou;Zhen Lu

  • On a Bio-inspired Amphibious Robot Capable of Multimodal Motion

    Junzhi Yu;Rui Ding;Qinghai Yang;Min Tan

  • Sampled-data based average consensus of second-order integral multi-agent systems: Switching topologies and communication noises

    Long Cheng;Yunpeng Wang;Zeng-Guang Hou;Min Tan

  • Local immunomodulation with Fas ligand-engineered biomaterials achieves allogeneic islet graft acceptance

    Devon M. Headen;Kyle B. Woodward;María M. Coronel;Pradeep Shrestha

  • Intracellular manipulation and measurement with multipole magnetic tweezers

    Xian Wang;Clement Ho;Y. Tsatskis;Junhui Law

  • Seeking Consensus in Networks of Linear Agents: Communication Noises and Markovian Switching Topologies

    Yunpeng Wang;Long Cheng;Wei Ren;Zeng-Guang Hou

  • Containment control of continuous-time linear multi-agent systems with aperiodic sampling

    Huiyang Liu;Long Cheng;Min Tan;Zeng-Guang Hou

  • On Convergence Rate of Leader-Following Consensus of Linear Multi-Agent Systems With Communication Noises

    Long Cheng;Yunpen Wang;Wei Ren;Zeng-Guang Hou

  • Visual Measurement and Prediction of Ball Trajectory for Table Tennis Robot

    Zhengtao Zhang;De Xu;Min Tan

  • Containment control of multi-agent systems in a noisy communication environment

    Yunpeng Wang;Long Cheng;Zeng-Guang Hou;Min Tan

Frequent Co-Authors

Junzhi Yu
Junzhi Yu Peking University
Long Cheng
Long Cheng Chinese Academy of Sciences
Shuo Wang
Shuo Wang Nankai University
De Xu
De Xu Chinese Academy of Sciences
Jianwei Zhang
Jianwei Zhang Universität Hamburg
An-Min Zou
An-Min Zou Shantou University
Long Wang
Long Wang Peking University
Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
Yongji Wang
Yongji Wang Huazhong University of Science and Technology
Yu Sun
Yu Sun University of Toronto

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