World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
36
Citations
4659
World Ranking
2555
National Ranking
309

Liang Ding 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 Liang Ding 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: 218 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Liang Ding 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 Liang Ding 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: 36 D-Index — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Overview

Liang Ding is affiliated with the Harbin Institute of Technology in China, where their research primarily spans engineering disciplines.

The main field of study for Liang Ding is Engineering, with a focus on several subfields including Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Civil and Structural Engineering, and Aerospace Engineering.

Their research covers a range of topics, particularly:

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

Liang Ding has published extensively in venues such as:

  • IEEE Robotics and Automation Letters
  • Mechanism and Machine Theory
  • arXiv (Cornell University)
  • Journal of Mechanical Engineering
  • SSRN Electronic Journal

Frequent collaborators include Haibo Gao, Zongquan Deng, Huaiguang Yang, Guangjun Liu, and Hongjun Xing.

Notable recent papers authored by Liang Ding include:

  • 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

These works reflect an engagement with topics related to robotic mobility on varied terrains, planetary exploration missions, and advanced modeling techniques for robotics.

Best Publications

  • Experimental study and analysis on driving wheels' performance for planetary exploration rovers moving in deformable soil

    Liang Ding;Haibo Gao;Zongquan Deng;Keiji Nagatani

  • Adaptive Impedance Control of Human–Robot Cooperation Using Reinforcement Learning

    Zhijun Li;Junqiang Liu;Zhicong Huang;Yan Peng

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

    Liang Ding;Haibo Gao;Zongquan Deng;Jianhu Song

  • Robust Stabilization of a Wheeled Mobile Robot Using Model Predictive Control Based on Neurodynamics Optimization

    Hanzhen Xiao;Zhijun Li;Chenguang Yang;Lixian Zhang

  • Adaptive Neural Network-Based Tracking Control for Full-State Constrained Wheeled Mobile Robotic System

    Liang Ding;Shu Li;Yan-Jun Liu;Haibo Gao

  • Wheel slip-sinkage and its prediction model of lunar rover

    Liang Ding;Hai-bo Gao;Zong-quan Deng;Jian-guo Tao

  • Trilateral Teleoperation of Adaptive Fuzzy Force/Motion Control for Nonlinear Teleoperators With Communication Random Delays

    Zhijun Li;Liang Ding;Haibo Gao;Guangren Duan

  • Adaptive Partial Reinforcement Learning Neural Network-Based Tracking Control for Wheeled Mobile Robotic Systems

    Liang Ding;Shu Li;Haibo Gao;Chao Chen

  • 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

  • Adaptive Neural Network-Based Finite-Time Online Optimal Tracking Control of the Nonlinear System With Dead Zone

    Liang Ding;Shu Li;Haibo Gao;Yan-Jun Liu

  • Planetary rovers' wheel---soil interaction mechanics: new challenges and applications for wheeled mobile robots

    Liang Ding;Zongquan Deng;Haibo Gao;Keiji Nagatani

  • Adaptive motion control of wheeled mobile robot with unknown slippage

    Haibo Gao;Xingguo Song;Liang Ding;Kerui Xia

  • Slip ratio for lugged wheel of planetary rover in deformable soil: definition and estimation

    Liang Ding;Haibo Gao;Zongquan Deng;Kazuya Yoshida

  • Adaptive neural network tracking control-based reinforcement learning for wheeled mobile robots with skidding and slipping

    Shu Li;Liang Ding;Haibo Gao;Chao Chen

  • Definition and Application of Variable Resistance Coefficient for Wheeled Mobile Robots on Deformable Terrain

    Liang Ding;Lan Huang;Shu Li;Haibo Gao

  • Parameter identification for planetary soil based on a decoupled analytical wheel-soil interaction terramechanics model

    Liang Ding;Kazuya Yoshida;Keiji Nagatani;Haibo Gao

  • Gait Generation With Smooth Transition Using CPG-Based Locomotion Control for Hexapod Walking Robot

    Haitao Yu;Haibo Gao;Liang Ding;Mantian Li

  • Terramechanics-based high-fidelity dynamics simulation for wheeled mobile robot on deformable rough terrain

    Liang Ding;Keiji Nagatani;Keisuke Sato;Andres Mora

  • ADP-Based Online Tracking Control of Partially Uncertain Time-Delayed Nonlinear System and Application to Wheeled Mobile Robots

    Shu Li;Liang Ding;Haibo Gao;Yan-Jun Liu

  • A review of heavy-duty legged robots

    HongChao Zhuang;HaiBo Gao;ZongQuan Deng;Liang Ding

  • Design and terramechanics analysis of a Mars rover utilising active suspension

    Junqiang Zheng;Haibo Gao;Baofeng Yuan;Zhen Liu

  • New perspective on characterizing pressure–sinkage relationship of terrains for estimating interaction mechanics

    Liang Ding;Liang Ding;Haibo Gao;Zongquan Deng;Yuankai Li

Frequent Co-Authors

Zongquan Deng
Zongquan Deng Harbin Institute of Technology
Guangjun Liu
Guangjun Liu Toronto Metropolitan University
Mahdi Tavakoli
Mahdi Tavakoli University of Alberta
Zhijun Li
Zhijun Li Tongji University
Keiji Nagatani
Keiji Nagatani Tohoku University
Yan-Jun Liu
Yan-Jun Liu Liaoning University of Technology
Kazuya Yoshida
Kazuya Yoshida Tohoku University
Chenguang Yang
Chenguang Yang University of Liverpool
Huimin Wang
Huimin Wang Chinese Academy of Sciences

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