World's Best Scientists 2026 revealed!
Shengbo Eben Li

Shengbo Eben Li

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
70
Citations
19785
World Ranking
915
National Ranking
159

Shengbo Eben Li 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 Shengbo Eben Li 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: 236 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Shengbo Eben Li 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 Shengbo Eben Li 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

Shengbo Eben Li is affiliated with Tsinghua University in China and has a research focus within engineering and computer science. Their work predominantly contributes to the fields of control and systems engineering, automotive engineering, and artificial intelligence, with significant emphasis on electrical and electronic engineering and mechanical engineering as well.

The core topics in their research include autonomous vehicle technology and safety, reinforcement learning in robotics, and traffic control and management. Their contributions also extend to advanced control systems optimization, adaptive dynamic programming control, vehicle dynamics and control systems, and electric and hybrid vehicle technologies.

Among their recent publications are:

  • Interpretable End-to-End Urban Autonomous Driving With Latent Deep Reinforcement Learning, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness, 2021, Transportation Research Part C Emerging Technologies
  • A survey of powertrain configuration studies on hybrid electric vehicles, 2020, Applied Energy
  • Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Hierarchical reinforcement learning for self-driving decision-making without reliance on labelled driving data, 2020, IET Intelligent Transport Systems

Their frequent co-authors include Jingliang Duan, Yuming Yin, Yang Guan, Guojian Zhan, and Qi Sun. Collaboration with these co-authors shows a sustained engagement with peers specialized in related research areas over multiple projects.

Shengbo Eben Li's work has been published repeatedly in high-impact venues such as arXiv (Cornell University), IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Neural Networks and Learning Systems, and Transportation Research Part C Emerging Technologies.

Their publication record encompasses a wide array of studies within these domains, reflecting ongoing research activity and contribution to emerging technologies in autonomous systems and control.

Best Publications

  • A comparative study of equivalent circuit models for Li-ion batteries

    Xiaosong Hu;Xiaosong Hu;Shengbo Li;Huei Peng

  • Distributed Model Predictive Control for Heterogeneous Vehicle Platoons Under Unidirectional Topologies

    Yang Zheng;Shengbo Eben Li;Keqiang Li;Francesco Borrelli

  • Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies

    Yang Zheng;Shengbo Eben Li;Jianqiang Wang;Dongpu Cao

  • Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles

    Yuan Zou;Xiaosong Hu;Hongmin Ma;Shengbo Eben Li

  • Model Predictive Multi-Objective Vehicular Adaptive Cruise Control

    Shengbo Li;Keqiang Li;R Rajamani;Jianqiang Wang

  • String stability for vehicular platoon control: Definitions and analysis methods

    Shuo Feng;Yi Zhang;Shengbo Eben Li;Zhong Cao

  • Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities

    Shengbo Eben Li;Yang Zheng;Keqiang Li;Yujia Wu

  • Reinforcement Learning Optimized Look-Ahead Energy Management of a Parallel Hybrid Electric Vehicle

    Teng Liu;Xiaosong Hu;Shengbo Eben Li;Dongpu Cao

  • Advanced Machine Learning Approach for Lithium-Ion Battery State Estimation in Electric Vehicles

    Xiaosong Hu;Shengbo Eben Li;Yalian Yang

  • A Survey on Cooperative Longitudinal Motion Control of Multiple Connected and Automated Vehicles

    Ziran Wang;Yougang Bian;Steven E. Shladover;Guoyuan Wu

  • Interpretable End-to-End Urban Autonomous Driving With Latent Deep Reinforcement Learning

    Jianyu Chen;Shengbo Eben Li;Masayoshi Tomizuka

  • Stability Margin Improvement of Vehicular Platoon Considering Undirected Topology and Asymmetric Control

    Yang Zheng;Shengbo Eben Li;Keqiang Li;Le-Yi Wang

  • Cooperative Method of Traffic Signal Optimization and Speed Control of Connected Vehicles at Isolated Intersections

    Biao Xu;Xuegang Jeff Ban;Yougang Bian;Wan Li

  • Reducing time headway for platooning of connected vehicles via V2V communication

    Yougang Bian;Yang Zheng;Yang Zheng;Wei Ren;Shengbo Eben Li

  • Robust control of heterogeneous vehicular platoon with uncertain dynamics and communication delay

    Feng Gao;Shengbo Eben Li;Yang Zheng;Dongsuk Kum

  • Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness

    Guofa Li;Yifan Yang;Shen Li;Xingda Qu

  • An overview of vehicular platoon control under the four-component framework

    Shengbo Eben Li;Yang Zheng;Keqiang Li;Jianqiang Wang

  • Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors.

    Jingliang Duan;Yang Guan;Shengbo Eben Li;Yangang Ren

  • Estimation of driving style in naturalistic highway traffic using maneuver transition probabilities

    Guofa Li;Shengbo Eben Li;Bo Cheng;Paul Green

  • Platooning of Connected Vehicles With Undirected Topologies: Robustness Analysis and Distributed H-infinity Controller Synthesis

    Yang Zheng;Shengbo Eben Li;Keqiang Li;Wei Ren

  • A survey of powertrain configuration studies on hybrid electric vehicles

    Weichao Zhuang;Shengbo Li;Xiaowu Zhang;Dongsuk Kum

  • Fractional-order modeling and parameter identification for lithium-ion batteries

    Baojin Wang;Baojin Wang;Shengbo Eben Li;Shengbo Eben Li;Huei Peng;Zhiyuan Liu

  • Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries

    Xiaosong Hu;Xiaosong Hu;Shengbo Li;Shengbo Li;Huei Peng;Fengchun Sun

Frequent Co-Authors

Keqiang Li
Keqiang Li Tsinghua University
Jianqiang Wang
Jianqiang Wang Central South University
Huei Peng
Huei Peng University of Michigan–Ann Arbor
Xiaosong Hu
Xiaosong Hu Chongqing University
J. Karl Hedrick
J. Karl Hedrick University of California, Berkeley
Le Yi Wang
Le Yi Wang Wayne State University
Dongpu Cao
Dongpu Cao University of Waterloo
Dongsuk Kum
Dongsuk Kum Korea Advanced Institute of Science and Technology
Keyou You
Keyou You Tsinghua University
Wei Ren
Wei Ren University of California, Riverside

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