Bin Shuai
- Automotive Engineering top 2%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Mechanical Engineering
- Topics
- Electric and Hybrid Vehicle Technologies (8 papers)Electric Vehicles and Infrastructure (6 papers)Autonomous Vehicle Technology and Safety (4 papers)
- Journals
- Applied EnergyMechanical Systems and Signal ProcessingIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Bin Shuai
11 papers receiving 461 citations
Peers
Comparison fields: 5 of 47
- Automotive Engineering 375
- Electrical and Electronic Engineering 270
- Control and Systems Engineering 105
- Artificial Intelligence 33
- Mechanical Engineering 26
Countries citing papers authored by Bin Shuai
This map shows the geographic impact of Bin Shuai'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 Bin Shuai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Shuai more than expected).
Fields of papers citing papers by Bin Shuai
This network shows the impact of papers produced by Bin Shuai. 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 Bin Shuai. The network helps show where Bin Shuai may publish in the future.
Co-authorship network of co-authors of Bin Shuai
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Shuai. A scholar is included among the top collaborators of Bin Shuai 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 Bin Shuai. Bin Shuai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 16 | |
| 5 | 92 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 21 | |
| 9 | 84 | |
| 10 | 52 | |
| 11 | 124 | |
| 12 | 58 |
About Bin Shuai
Bin Shuai is a scholar working on Automotive Engineering, Fluid Flow and Transfer Processes and Electrical and Electronic Engineering, having authored 12 papers that have together received 474 indexed citations. Recurring topics across this work include Electric and Hybrid Vehicle Technologies (8 papers), Electric Vehicles and Infrastructure (6 papers) and Autonomous Vehicle Technology and Safety (4 papers). The work is most often cited by research in Automotive Engineering (375 citations), Electrical and Electronic Engineering (270 citations) and Control and Systems Engineering (105 citations). Bin Shuai has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Hongming Xu, Quan Zhou, H. Leverne Williams, Yinglong He, Ji Li, Ziyang Li, Yanfei Li, Fuwu Yan, Dezong Zhao and Shijin Shuai. Their work appears in journals such as Applied Energy, Mechanical Systems and Signal Processing and IEEE Transactions on Neural Networks and Learning Systems.
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.