World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
62
Citations
15223
World Ranking
602
National Ranking
79

Electronics and Electrical Engineering

D-Index
62
Citations
15189
World Ranking
1440
National Ranking
235

Overview

Keqiang Li is affiliated with Tsinghua University in China and specializes in engineering, with a strong focus on automotive engineering and control systems. Their research predominantly covers areas linked to traffic control, autonomous vehicle technology, and transportation optimization.

The scientist's main fields of study include:

  • Engineering

Within this broad field, subfields of notable emphasis are:

  • Automotive Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Building and Construction
  • Computer Vision and Pattern Recognition

Keqiang Li's work addresses multiple topics related to transportation and vehicle technologies, including:

  • Traffic control and management
  • Autonomous Vehicle Technology and Safety
  • Traffic Prediction and Management Techniques
  • Transportation Planning and Optimization
  • Vehicle Dynamics and Control Systems
  • Vehicular Ad Hoc Networks (VANETs)
  • Vehicle emissions and performance

Notable recent papers authored or co-authored by Keqiang Li include:

  • "Mixed platoon control of automated and human-driven vehicles at a signalized intersection: Dynamical analysis and optimal control" (2021), published in Transportation Research Part C Emerging Technologies
  • "A deep learning based image enhancement approach for autonomous driving at night" (2020), published in Knowledge-Based Systems
  • "Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios" (2020), published in Transportation Research Part C Emerging Technologies
  • "Controllability Analysis and Optimal Control of Mixed Traffic Flow With Human-Driven and Autonomous Vehicles" (2020), published in IEEE Transactions on Intelligent Transportation Systems
  • "Distributed model predictive control of multi-vehicle systems with switching communication topologies" (2020), published in Transportation Research Part C Emerging Technologies

Frequent collaborators in their research include:

  • Jianqiang Wang
  • Jiawei Wang
  • Qing Xu
  • Mengchi Cai
  • Yugong Luo

Keqiang Li has published extensively in several venues, with significant contributions to:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Vehicular Technology
  • Transportation Research Part C Emerging Technologies
  • SSRN Electronic Journal

In addition to journal articles, Keqiang Li has contributed to book literature. A recent book publication is "The Intelligent Environment Friendly Vehicle" released by Springer Nature in 2023.

Best Publications

  • 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

  • Model Predictive Multi-Objective Vehicular Adaptive Cruise Control

    Shengbo Li;Keqiang Li;R Rajamani;Jianqiang Wang

  • Object Classification Using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment

    Hongbo Gao;Bo Cheng;Jianqiang Wang;Keqiang Li

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

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

  • Vehicle Trajectory Prediction by Integrating Physics- and Maneuver-Based Approaches Using Interactive Multiple Models

    Guotao Xie;Hongbo Gao;Lijun Qian;Bin Huang

  • Driving safety field theory modeling and its application in pre-collision warning system

    Jianqiang Wang;Jian Wu;Xunjia Zheng;Daiheng Ni

  • A dynamic automated lane change maneuver based on vehicle-to-vehicle communication

    Yugong Luo;Yong Xiang;Kun Cao;Keqiang Li

  • An Adaptive Longitudinal Driving Assistance System Based on Driver Characteristics

    Jianqiang Wang;Lei Zhang;Dezhao Zhang;Keqiang Li

  • 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

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

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

  • Mixed platoon control of automated and human-driven vehicles at a signalized intersection: Dynamical analysis and optimal control

    Chaoyi Chen;Jiawei Wang;Qing Xu;Jianqiang Wang

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

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

  • Distributed conflict-free cooperation for multiple connected vehicles at unsignalized intersections

    Biao Xu;Shengbo Eben Li;Yougang Bian;Shen Li

  • Coordinated path-following and direct yaw-moment control of autonomous electric vehicles with sideslip angle estimation

    Jinghua Guo;Yugong Luo;Keqiang Li;Yifan Dai

  • A deep learning based image enhancement approach for autonomous driving at night

    Guofa Li;Guofa Li;Yifan Yang;Xingda Qu;Dongpu Cao

  • Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios

    Guofa Li;Guofa Li;Yifan Yang;Tingru Zhang;Xingda Qu

  • Optimal charging scheduling for large-scale EV (electric vehicle) deployment based on the interaction of the smart-grid and intelligent-transport systems

    Yugong Luo;Tao Zhu;Shuang Wan;Shuwei Zhang

  • Analysis of Cooperative Driving Strategies for Nonsignalized Intersections

    Yue Meng;Li Li;Fei-Yue Wang;Keqiang Li

  • Optimal location planning method of fast charging station for electric vehicles considering operators, drivers, vehicles, traffic flow and power grid

    Weiwei Kong;Yugong Luo;Guixuan Feng;Keqiang Li

  • Minimum Fuel Control Strategy in Automated Car-Following Scenarios

    Shengbo Eben Li;Huei Peng;Keqiang Li;Jianqiang Wang

Frequent Co-Authors

Jianqiang Wang
Jianqiang Wang Central South University
Shengbo Eben Li
Shengbo Eben Li Tsinghua University
Huei Peng
Huei Peng University of Michigan–Ann Arbor
Le Yi Wang
Le Yi Wang Wayne State University
Francesco Borrelli
Francesco Borrelli University of California, Berkeley
Dongpu Cao
Dongpu Cao University of Waterloo
Wei Ren
Wei Ren University of California, Riverside
Junmin Wang
Junmin Wang The University of Texas at Austin
Keyou You
Keyou You Tsinghua University
Xiaosong Hu
Xiaosong Hu Chongqing University

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