World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
59
Citations
11142
World Ranking
1792
National Ranking
306

Junzhi Yu 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 Junzhi Yu 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: 447 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Junzhi Yu 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 Junzhi Yu 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: 59 D-Index — 75th percentile

75% 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

  • 2021 - IEEE Fellow For contributions to bio-inspired swimming robots

Overview

Junzhi Yu is affiliated with Peking University in China and has contributed extensively to the fields of engineering and computer science. Their research encompasses a wide range of subfields including computer vision and pattern recognition, aerospace engineering, ocean engineering, control and systems engineering, and biomedical engineering.

The scientist's notable research topics include underwater vehicles and communication systems, biomimetic flight and propulsion mechanisms, robotics and sensor-based localization, adaptive control of nonlinear systems, distributed control in multi-agent systems, robotic path planning algorithms, and robotic locomotion and control.

Junzhi Yu has published numerous papers in various reputable journals and conferences. Some recent publications include:

  • A soft manipulator for efficient delicate grasping in shallow water: Modeling, control, and real-world experiments (2020) in The International Journal of Robotics Research
  • Multi-UUV Maneuvering Counter-Game for Dynamic Target Scenario Based on Fractional-Order Recurrent Neural Network (2022) in IEEE Transactions on Cybernetics
  • A Survey of Underwater Multi-Robot Systems (2021) in IEEE/CAA Journal of Automatica Sinica
  • Copyrolysis of Biomass, Bentonite, and Nutrients as a New Strategy for the Synthesis of Improved Biochar-Based Slow-Release Fertilizers (2020) in ACS Sustainable Chemistry & Engineering
  • High-Efficiency Reclaiming Phosphate from an Aqueous Solution by Bentonite Modified Biochars: A Slow Release Fertilizer with a Precise Rate Regulation (2020) in ACS Sustainable Chemistry & Engineering

Among frequent co-authors of Junzhi Yu are:

  • Zhengxing Wu (79 joint publications)
  • Min Tan (70 joint publications)
  • Jian Wang (47 joint publications)
  • Zhiqiang Cao (29 joint publications)
  • Shihan Kong (28 joint publications)

Junzhi Yu's work has appeared repeatedly in specialized venues such as IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Instrumentation and Measurement, arXiv (Cornell University), and Biomimetics. These venues collectively represent significant platforms in mechatronics, industrial electronics, instrumentation, preprint archives, and biomimetic research.

The scientist has been recognized as an IEEE Fellow in 2021 for contributions to bio-inspired swimming robots, reflecting a focus on biomimetic mechanisms within their broader research scope.

Best Publications

  • Development of a biomimetic robotic fish and its control algorithm

    Junzhi Yu;Min Tan;Shuo Wang;Erkui Chen

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

    Junzhi Yu;Min Tan;Jian Chen;Jianwei Zhang

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

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

  • Global stability analysis of fractional-order Hopfield neural networks with time delay

    Hu Wang;Yongguang Yu;Guoguang Wen;Shuo Zhang

  • Dynamic analysis of a fractional-order Lorenz chaotic system

    Yongguang Yu;Yongguang Yu;Han-Xiong Li;Han-Xiong Li;Sha Wang;Junzhi Yu

  • A soft manipulator for efficient delicate grasping in shallow water: Modeling, control, and real-world experiments:

    Zheyuan Gong;Xi Fang;Xingyu Chen;Jiahui Cheng

  • LMI Conditions for Global Stability of Fractional-Order Neural Networks

    Shuo Zhang;Yongguang Yu;Junzhi Yu

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

    Junzhi Yu;Rui Ding;Qinghai Yang;Min Tan

  • Second-Order Continuous-Time Algorithms for Economic Power Dispatch in Smart Grids

    Xing He;Daniel W. C. Ho;Tingwen Huang;Junzhi Yu

  • Path Planning of Industrial Robot Based on Improved RRT Algorithm in Complex Environments

    Haojian Zhang;Yunkuan Wang;Jun Zheng;Junzhi Yu

  • Leader-Following Formation Control of Multiple Mobile Robots

    Jinyan Shao;Guangming Xie;Junzhi Yu;Long Wang

  • Towards Real-Time Advancement of Underwater Visual Quality With GAN

    Xingyu Chen;Junzhi Yu;Shihan Kong;Zhengxing Wu

  • Adaptive task assignment for multiple mobile robots via swarm intelligence approach

    Dandan Zhang;Guangming Xie;Junzhi Yu;Long Wang

  • Coordination of Multiple Robotic Fish With Applications to Underwater Robot Competition

    Junzhi Yu;Chen Wang;Guangming Xie

  • A Survey of Underwater Multi-Robot Systems

    Ziye Zhou;Jincun Liu;Junzhi Yu

  • Multi-UUV Maneuvering Counter-Game for Dynamic Target Scenario Based on Fractional-Order Recurrent Neural Network

    Unknown

  • Parameter Optimization of Simplified Propulsive Model for Biomimetic Robot Fish

    Junzhi Yu;Long Wang

  • An Adaptive Takagi–Sugeno Fuzzy Model-Based Predictive Controller for Piezoelectric Actuators

    Long Cheng;Weichuan Liu;Zeng-Guang Hou;Tingwen Huang

  • Motion Control and Motion Coordination of Bionic Robotic Fish: A Review

    Junzhi Yu;Ming Wang;Huifang Dong;Yanlu Zhang

  • Optimal Formation of Multirobot Systems Based on a Recurrent Neural Network

    Yunpeng Wang;Long Cheng;Zeng-Guang Hou;Junzhi Yu

  • An Inversion-Free Predictive Controller for Piezoelectric Actuators Based on a Dynamic Linearized Neural Network Model

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

  • An Inertial Projection Neural Network for Solving Variational Inequalities

    Xing He;Tingwen Huang;Junzhi Yu;Chuandong Li

  • Development of a Fast-Swimming Dolphin Robot Capable of Leaping

    Junzhi Yu;Zongshuai Su;Zhengxing Wu;Min Tan

  • A simplified propulsive model of bio-mimetic robot fish and its realization

    Junzhi Yu;Shuo Wang;Min Tan

Frequent Co-Authors

Min Tan
Min Tan Chinese Academy of Sciences
Long Wang
Long Wang Peking University
Jianwei Zhang
Jianwei Zhang Universität Hamburg
Guangming Xie
Guangming Xie Peking University
Yongguang Yu
Yongguang Yu Beijing Jiaotong University
Li Wen
Li Wen Beihang University
Shuo Wang
Shuo Wang Nankai University
Tingwen Huang
Tingwen Huang Shenzhen Institutes of Advanced Technology
De Xu
De Xu Chinese Academy of Sciences
Long Cheng
Long Cheng Chinese Academy of Sciences

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