World's Best Scientists 2026 revealed!
Jinsong Wang

Jinsong Wang

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
49
Citations
7975
World Ranking
1237
National Ranking
155

Electronics and Electrical Engineering

D-Index
49
Citations
7927
World Ranking
2984
National Ranking
492

Jinsong Wang publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Jinsong Wang sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 176 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Jinsong Wang D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Jinsong Wang sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 49 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Jinsong Wang is affiliated with Tsinghua University in China and has contributed extensively to the field of engineering with a focus on electrical and electronic engineering, control and systems engineering, and mechanical engineering. Their research spans multiple subfields, including computer vision and pattern recognition as well as biomedical engineering.

The primary topics of Wang's research include sensorless control of electric motors, iterative learning control systems, and robotic mechanisms and dynamics. Other significant themes cover control systems in engineering, energy load and power forecasting, advanced measurement and metrology techniques, and advanced numerical analysis techniques.

Wang has a notable record of publications in several key scientific journals and venues. Frequent publication venues include:

  • Energies
  • Robotics and Computer-Integrated Manufacturing
  • Mechanism and Machine Theory
  • Electronics
  • Journal of Electrical Engineering and Technology

Recent papers authored or co-authored by Wang include:

  • "Prediction of Global Ionospheric TEC Based on Deep Learning," 2022, published in Space Weather
  • "Building Load Forecasting Using Deep Neural Network with Efficient Feature Fusion," 2021, published in Journal of Modern Power Systems and Clean Energy
  • "Tracking error prediction informed motion control of a parallel machine tool for high-performance machining," 2021, published in International Journal of Machine Tools and Manufacture
  • "Prediction of energy photovoltaic power generation based on artificial intelligence algorithm," 2020, published in Neural Computing and Applications
  • "Vehicle recognition algorithm based on Haar-like features and improved Adaboost classifier," 2021, published in Journal of Ambient Intelligence and Humanized Computing

Collaboration is a significant aspect of Wang's research activities. Frequent co-authors include Xin-Jun Liu, Zheng Li, Fugui Xie, Xiaoqiang Guo, and Qizhi Meng.

Best Publications

  • Review: An overview of dynamic parameter identification of robots

    Jun Wu;Jinsong Wang;Zheng You

  • Performance evaluation of parallel manipulators: Motion/force transmissibility and its index

    Jinsong Wang;Chao Wu;Xin-Jun Liu

  • Dynamics and control of a planar 3-DOF parallel manipulator with actuation redundancy

    Jun Wu;Jinsong Wang;Liping Wang;Tiemin Li

  • A new methodology for optimal kinematic design of parallel mechanisms

    Xin-Jun Liu;Jinsong Wang

  • Kinematics, singularity and workspace of planar 5R symmetrical parallel mechanisms

    Xin-Jun Liu;Jinsong Wang;G. Pritschow

  • Static analysis of cable-driven manipulators with non-negligible cable mass

    Unknown

  • Performance atlases and optimum design of planar 5R symmetrical parallel mechanisms

    Xin-Jun Liu;Jinsong Wang;G. Pritschow

  • A New Approach for Singularity Analysis and Closeness Measurement to Singularities of Parallel Manipulators

    Xin-Jun Liu;Chao Wu;Jinsong Wang

  • A new family of spatial 3-DoF fully-parallel manipulators with high rotational capability

    Xin-Jun Liu;Jinsong Wang;Günter Pritschow

  • Dimensional Optimization Design of the Four-Cable-Driven Parallel Manipulator in FAST

    Rui Yao;Xiaoqiang Tang;Jinsong Wang;Peng Huang

  • A New Approach to the Design of a DELTA Robot with a Desired Workspace

    Xin-Jun Liu;Jinsong Wang;Kun-Ku Oh;Jongwon Kim

  • A 3-DOF parallel manufacturing module and its kinematic optimization

    Fugui Xie;Xin-Jun Liu;Jinsong Wang

  • The Local Dexterity, Optimal Architecture and Design Criteria of Parallel Machine Tools

    Tian Huang;D.J. Whitehouse;Jinsong Wang

  • Study on the stiffness of a 5-DOF hybrid machine tool with actuation redundancy

    Jun Wu;Jinsong Wang;Liping Wang;Tiemin Li

  • Optimal Design of Spherical 5R Parallel Manipulators Considering the Motion/Force Transmissibility

    Chao Wu;Xin-Jun Liu;Liping Wang;Jinsong Wang

  • On the analysis of a new spatial three-degrees-of-freedom parallel manipulator

    Xin-Jun Liu;Jinsong Wang;Feng Gao;Li-Ping Wang

  • Some New Parallel Mechanisms Containing the Planar Four-Bar Parallelogram

    Xin-Jun Liu;Jinsong Wang

  • On the optimal kinematic design of the PRRRP 2-DoF parallel mechanism

    Xin-Jun Liu;Jinsong Wang;G. Pritschow

  • Stiffness and natural frequency of a 3-DOF parallel manipulator with consideration of additional leg candidates

    Jun Wu;Jun Wu;Tiemin Li;Tiemin Li;Jinsong Wang;Jinsong Wang;Liping Wang;Liping Wang

  • Type synthesis of 2T1R-type parallel kinematic mechanisms and the application in manufacturing

    Fugui Xie;Xin-Jun Liu;Zheng You;Jinsong Wang

  • A general and novel approach for parameter identification of 6-DOF parallel kinematic machines

    Tian Huang;Derek G. Chetwynd;David J. Whitehouse;Jinsong Wang

  • Type Synthesis of Parallel Mechanisms

    Xin-Jun Liu;Jinsong Wang

Frequent Co-Authors

Xin-Jun Liu
Xin-Jun Liu Tsinghua University
Jun Wu
Jun Wu Tsinghua University
David J. Whitehouse
David J. Whitehouse University of Warwick
Feng Gao
Feng Gao Shanghai Jiao Tong University
Tian Huang
Tian Huang Tianjin University
Clément Gosselin
Clément Gosselin Université Laval
Ilian A. Bonev
Ilian A. Bonev École de Technologie Supérieure
Derek G. Chetwynd
Derek G. Chetwynd University of Warwick

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Exploring these diverse online pathways can complement a technical background and open doors to interdisciplinary careers, making your skillset more versatile and marketable in today’s competitive job market.

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