The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Zhibin Li sits on this spectrum.
This scientist: 268 publications — 69th percentile
69% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Zhibin Li sits on this spectrum.
This scientist: 43 D-Index — 39th percentile
39% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Zhibin Li is affiliated with Southeast University in China and has contributed extensively to the field of Engineering, with a focus on Control and Systems Engineering, Automotive Engineering, and Transportation. Their research broadly covers topics related to traffic control and management, autonomous vehicle technology and safety, and traffic and road safety.
Their work involves key areas such as traffic prediction and management techniques, transportation planning and optimization, urban transport and accessibility, as well as vehicle emissions and performance. This multidisciplinary approach reflects the integration of system engineering principles with practical transportation challenges.
Among their recent publications are several papers that have appeared in prestigious journals, including:
Zhibin Li frequently collaborates with several co-authors, notably Pan Liu, Yuxuan Wang, Chengcheng Xu, Meng Li, and Kequan Chen, reflecting an active research network.
The scholar's most frequent publication venues include:
Their research encompasses a significant number of publications in key subfields of study such as:
Zhibin Li's extensive output in engineering research contributes to multiple dimensions of traffic systems and autonomous vehicle technologies. Their work includes analytical and applied research, combining machine learning and control theory to address complex challenges in transportation efficiency and safety.
Zhibin Li;Pan Liu;Weixu Wang;Chengcheng Xu
Ruimin Ke;Zhibin Li;Jinjun Tang;Zewen Pan
Jian Zhang;Zhibin Li;Ziyuan Pu;Chengcheng Xu
Chengcheng Xu;Pan Liu;Weixu Wang;Zhibin Li
Jinjun Tang;Jian Liang;Chunyang Han;Zhibin Li
Zhibin Li;Zhibin Li;Weixu Wang;Pan Liu;John M. Bigham
Ye Li;Zhibin Li;Hao Wang;Wei Wang
Zhibin Li;Pan Liu;Chengcheng Xu;Hui Duan
Ruimin Ke;Zhibin Li;Sung Kim;John Ash
Xinqiang Chen;Zhibin Li;Yongsheng Yang;Lei Qi
Yong Wang;Xiaolei Ma;Zhibin Li;Yong Liu
Zhibin Li;Wei Wang;Pan Liu;David R. Ragland
Yanyong Guo;Jibiao Zhou;Yao Wu;Zhibin Li
Zhibin Li;Zhibin Li;Wei Wang;Chen Yang;David R. Ragland
Jiwen Cen;Zhibin Li;Fangming Jiang
Yanyong Guo;Yanyong Guo;Zhibin Li;Yao Wu;Chengcheng Xu
Chengcheng Xu;Zijian Ding;Chen Wang;Zhibin Li
Zhibin Li;Ye Li;Pan Liu;Weixu Wang
Yanyong Guo;Yanyong Guo;Zhibin Li;Pan Liu;Yao Wu
Meng Li;Zehong Cao;Zhibin Li
Zhibin Li;Pan Liu;Wei Wang;Chengcheng Xu
Zhibin Li;Seongchae Ahn;Koohong Chung;David R. Ragland
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