Jianyu Chen
- Automotive Engineering top 5%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics
- Co-authors
- Masayoshi TomizukaShengbo Eben LiWei ZhanYujie YangYichen LiuJingliang DuanYutaka ShimizuYongjin Qiao
- Topics
- Reinforcement Learning in Robotics (8 papers)Autonomous Vehicle Technology and Safety (4 papers)Traffic control and management (3 papers)
- Cited by
- Automotive EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Evolutionary Computation
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jianyu Chen
13 papers receiving 363 citations
Peers
Comparison fields: 5 of 51
- Automotive Engineering 218
- Control and Systems Engineering 160
- Artificial Intelligence 130
- Computer Vision and Pattern Recognition 127
- Computational Theory and Mathematics 22
Countries citing papers authored by Jianyu Chen
This map shows the geographic impact of Jianyu Chen'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 Jianyu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianyu Chen more than expected).
Fields of papers citing papers by Jianyu Chen
This network shows the impact of papers produced by Jianyu Chen. 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 Jianyu Chen. The network helps show where Jianyu Chen may publish in the future.
Co-authorship network of co-authors of Jianyu Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Jianyu Chen. A scholar is included among the top collaborators of Jianyu Chen 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 Jianyu Chen. Jianyu Chen 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 | 5 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 25 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 182 | |
| 13 | 131 |
About Jianyu Chen
Jianyu Chen is a scholar working on Automotive Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 13 papers that have together received 380 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (8 papers), Autonomous Vehicle Technology and Safety (4 papers) and Traffic control and management (3 papers). The work is most often cited by research in Automotive Engineering (218 citations), Control and Systems Engineering (160 citations) and Computer Vision and Pattern Recognition (127 citations). Jianyu Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Masayoshi Tomizuka, Shengbo Eben Li, Wei Zhan, Yujie Yang, Yichen Liu, Jingliang Duan, Yutaka Shimizu, Yongjin Qiao, Bingjie Chen and Sifa Zheng. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Evolutionary Computation.
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.