Shengbo Eben Li
- Automotive Engineering top 0.01%
- Control and Systems Engineering top 0.05%
- Electrical and Electronic Engineering top 0.5%
- Transportation top 0.1%
- Building and Construction top 0.2%
- Topics
- Traffic control and management (107 papers)Autonomous Vehicle Technology and Safety (85 papers)Reinforcement Learning in Robotics (42 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Automatic Control
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shengbo Eben Li
288 papers receiving 14.5k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Automotive Engineering 10.2k
- Control and Systems Engineering 7.8k
- Electrical and Electronic Engineering 6.1k
- Transportation 2.0k
- Building and Construction 1.4k
Countries citing papers authored by Shengbo Eben Li
This map shows the geographic impact of Shengbo Eben Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shengbo Eben Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengbo Eben Li more than expected).
Fields of papers citing papers by Shengbo Eben Li
This network shows the impact of papers produced by Shengbo Eben Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shengbo Eben Li. The network helps show where Shengbo Eben Li may publish in the future.
Co-authorship network of co-authors of Shengbo Eben Li
This figure shows the co-authorship network connecting the top 25 collaborators of Shengbo Eben Li. A scholar is included among the top collaborators of Shengbo Eben Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shengbo Eben Li. Shengbo Eben Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 11 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 26 | |
| 18 | 18 | |
| 19 | 5 | |
| 20 | 164 |
About Shengbo Eben Li
Shengbo Eben Li is a scholar working on Automotive Engineering, Control and Systems Engineering and Transportation, having authored 313 papers that have together received 14.8k indexed citations. Recurring topics across this work include Traffic control and management (107 papers), Autonomous Vehicle Technology and Safety (85 papers) and Reinforcement Learning in Robotics (42 papers). The work is most often cited by research in Automotive Engineering (10.2k citations), Control and Systems Engineering (7.8k citations) and Transportation (2.0k citations). Shengbo Eben Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiao Hu, Keqiang Li, Huei Peng, Jianqiang Wang, Yang Zheng, Bo Cheng, Dongpu Cao, Yougang Bian, Feng Gao and Guofa Li. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.