World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
57
Citations
10225
World Ranking
822
National Ranking
106

Electronics and Electrical Engineering

D-Index
56
Citations
9645
World Ranking
2117
National Ranking
363

Liang Li 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 Li 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: 410 publications — 87th percentile

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

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

Liang Li 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 Li 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: 57 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Liang Li is affiliated with Tsinghua University in China and is an active researcher in the field of engineering, with a particular focus on automotive and control systems. Their work spans multiple subfields including Automotive Engineering, Control and Systems Engineering, Mechanical Engineering, Electrical and Electronic Engineering, and Aerospace Engineering.

Liang Li's research covers several main topics, notably Vehicle Dynamics and Control Systems, Hydraulic and Pneumatic Systems, Electric and Hybrid Vehicle Technologies, Autonomous Vehicle Technology and Safety, Traffic Control and Management, Real-time Simulation and Control Systems, and Mechanical Engineering and Vibrations Research.

Recent scientific contributions include publications such as:

  • "Graph Neural Networks and Their Current Applications in Bioinformatics" (2021) in Frontiers in Genetics
  • "Path Tracking and Direct Yaw Moment Coordinated Control Based on Robust MPC With the Finite Time Horizon for Autonomous Independent-Drive Vehicles" (2020) in IEEE Transactions on Vehicular Technology
  • "Model-Predictive-Control-Based Path Tracking Controller of Autonomous Vehicle Considering Parametric Uncertainties and Velocity-Varying" (2020) in IEEE Transactions on Industrial Electronics
  • "Robust LMI-Based H-Infinite Controller Integrating AFS and DYC of Autonomous Vehicles With Parametric Uncertainties" (2020) in IEEE Transactions on Systems Man and Cybernetics Systems
  • "Dynamic Lane-Changing Trajectory Planning for Autonomous Vehicles Based on Discrete Global Trajectory" (2021) in IEEE Transactions on Intelligent Transportation Systems

Liang Li frequently collaborates with other researchers, including Xiangyu Wang, Shuo Cheng, Lingtao Wei, Yicai Liu, and Changyao Huang. This collaboration has contributed to the development of a significant body of work within their fields.

Their publication record includes contributions to specialized journals and conferences. The most frequent venues for their work are:

  • Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
  • IEEE Transactions on Vehicular Technology
  • SSRN Electronic Journal
  • IEEE Transactions on Transportation Electrification
  • arXiv (Cornell University)

Liang Li has extended their academic output through book publication as well, contributing a work titled "Cutting-edge Research in Agricultural Sciences Vol. 1" published in 2020 by Book Publisher International (a part of SCIENCEDOMAIN International).

Best Publications

  • An innovative information fusion method with adaptive Kalman filter for integrated INS/GPS navigation of autonomous vehicles

    Yahui Liu;Xiaoqian Fan;Xiaoqian Fan;Chen Lv;Jian Wu

  • Correctional DP-Based Energy Management Strategy of Plug-In Hybrid Electric Bus for City-Bus Route

    Liang Li;Chao Yang;Yahui Zhang;Lipeng Zhang

  • A Three-Dimensional Dynamics Control Framework of Vehicle Lateral Stability and Rollover Prevention via Active Braking With MPC

    Liang Li;Yishi Lu;Rongrong Wang;Jie Chen

  • Driving-behavior-aware stochastic model predictive control for plug-in hybrid electric buses

    Liang Li;Sixiong You;Chao Yang;Bingjie Yan

  • Path Tracking and Direct Yaw Moment Coordinated Control Based on Robust MPC With the Finite Time Horizon for Autonomous Independent-Drive Vehicles

    Haonan Peng;Weida Wang;Quan An;Changle Xiang

  • Model-Predictive-Control-Based Path Tracking Controller of Autonomous Vehicle Considering Parametric Uncertainties and Velocity-Varying

    Shuo Cheng;Liang Li;Xiang Chen;Jian Wu

  • Model Predictive Control-based Efficient Energy Recovery Control Strategy for Regenerative Braking System of Hybrid Electric Bus

    Liang Li;Yuanbo Zhang;Chao Yang;Bingjie Yan

  • Adaptive real-time optimal energy management strategy based on equivalent factors optimization for plug-in hybrid electric vehicle

    Chao Yang;Siyu Du;Liang Li;Sixong You

  • A variable structure extended Kalman filter for vehicle sideslip angle estimation on a low friction road

    Liang Li;Gang Jia;Xu Ran;Jian Song

  • A Novel Lane Change Decision-Making Model of Autonomous Vehicle Based on Support Vector Machine

    Yonggang Liu;Xiao Wang;Liang Li;Shuo Cheng

  • Longitudinal Collision Avoidance and Lateral Stability Adaptive Control System Based on MPC of Autonomous Vehicles

    Shuo Cheng;Liang Li;Hong-Qiang Guo;Zhen-Guo Chen

  • Fuel consumption optimization for smart hybrid electric vehicle during a car-following process

    Liang Li;Xiangyu Wang;Jian Song

  • Time-Efficient Stochastic Model Predictive Energy Management for a Plug-In Hybrid Electric Bus With an Adaptive Reference State-of-Charge Advisory

    Shaobo Xie;Xiaosong Hu;Zongke Xin;Liang Li

  • Adaptive Fuzzy Prescribed Performance Control for Nonlinear Switched Time-Delay Systems With Unmodeled Dynamics

    Changchun Hua;Guopin Liu;Liang Li;Xinping Guan

  • Comprehensive tire–road friction coefficient estimation based on signal fusion method under complex maneuvering operations

    L. Li;K. Yang;K. Yang;G. Jia;X. Ran

  • Fusion Algorithm Design Based on Adaptive SCKF and Integral Correction for Side-Slip Angle Observation

    Shuo Cheng;Liang Li;Jie Chen

  • Hierarchical control strategy with battery aging consideration for hybrid electric vehicle regenerative braking control

    Jian Wu;Jian Wu;Xiangyu Wang;Liang Li;Cun'an Qin

  • Dynamic Lane-Changing Trajectory Planning for Autonomous Vehicles Based on Discrete Global Trajectory

    Yonggang Liu;Bobo Zhou;Xiao Wang;Liang Li

  • State-of-charge-constraint-based energy management strategy of plug-in hybrid electric vehicle with bus route

    Hongqiang Guo;Xiangyu Wang;Liang Li

  • A novel vehicle dynamics stability control algorithm based on the hierarchical strategy with constrain of nonlinear tyre forces

    Liang Li;Gang Jia;Jie Chen;Hongjun Zhu

  • A Stochastic Predictive Energy Management Strategy for Plug-in Hybrid Electric Vehicles Based on Fast Rolling Optimization

    Chao Yang;Sixiong You;Weida Wang;Liang Li

  • Transient switching control strategy from regenerative braking to anti-lock braking with a semi-brake-by-wire system

    Liang Li;Xujian Li;Xiangyu Wang;Yahui Liu

Frequent Co-Authors

Jian Song
Jian Song Tsinghua University
Xiangyu Wang
Xiangyu Wang Curtin University
Changle Xiang
Changle Xiang Beijing Institute of Technology
Dongpu Cao
Dongpu Cao University of Waterloo
Xiaosong Hu
Xiaosong Hu Chongqing University
Lang Tong
Lang Tong Cornell University
Changchun Hua
Changchun Hua Yanshan University
Chen Lv
Chen Lv Nanyang Technological University
Xiao Cheng Zeng
Xiao Cheng Zeng City University of Hong Kong
Weihua Li
Weihua Li University of Wollongong

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