Pin Wang
Impact in
- Automotive Engineering top 1%
- Autonomous Vehicle Technology and Safety
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- Traffic control and management
Papers in
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- Autonomous Vehicle Technology and Safety 17
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- Reinforcement Learning in Robotics 8
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Ching‐Yao Chan (18 shared papers)Arnaud de La Fortelle (1 shared paper)Xuxin Cheng (2 shared papers)Fei Ye (2 shared papers)Biao Yang (3 shared papers)Jiucai Zhang (1 shared paper)Mengyu Guo (1 shared paper)Ding‐Hsiang Huang (1 shared paper)
- Journals
- IET Intelligent Transport Systems (2 papers)Frontiers in Psychology (2 papers)IEEE Transactions on Systems Man and Cybernetics Systems (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Dyes and Pigments (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Pin Wang
39 papers receiving 923 citations
Peers
Comparison fields: 5 of 90
- Automotive Engineering 593
- Control and Systems Engineering 444
- Safety, Risk, Reliability and Quality 137
- Building and Construction 167
- Transportation 71
Countries citing papers authored by Pin Wang
This map shows the geographic impact of Pin Wang'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 Pin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pin Wang more than expected).
Fields of papers citing papers by Pin Wang
This network shows the impact of papers produced by Pin Wang. 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 Pin Wang. The network helps show where Pin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pin Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 197 | |
| 2 | 2017 | 103 | |
| 3 | 2020 | 82 | |
| 4 | 2019 | 59 | |
| 5 | 2021 | 58 | |
| 6 | 2011 | 53 | |
| 7 | 2019 | 53 | |
| 8 | 2021 | 50 | |
| 9 | 2021 | 48 | |
| 10 | 2021 | 34 | |
| 11 | 2016 | 33 | |
| 12 | 2017 | 30 | |
| 13 | 2024 | 19 | |
| 14 | 2020 | 17 | |
| 15 | 2010 | 16 | |
| 16 | 2021 | 15 | |
| 17 | 2020 | 10 | |
| 18 | 2021 | 7 | |
| 19 | 2011 | 7 | |
| 20 | 2017 | 6 |
About Pin Wang
Pin Wang is a scholar working on Automotive Engineering, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition and Building and Construction, having authored 42 papers that have together received 946 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (17 papers), Traffic control and management (9 papers), Reinforcement Learning in Robotics (8 papers), Video Surveillance and Tracking Methods (6 papers), Traffic Prediction and Management Techniques (4 papers), Anomaly Detection Techniques and Applications (3 papers), Action Observation and Synchronization (3 papers) and Sport Psychology and Performance (3 papers). The work is most often cited by research in Automotive Engineering (593 citations), Control and Systems Engineering (444 citations), Safety, Risk, Reliability and Quality (137 citations), Building and Construction (167 citations) and Transportation (71 citations). Pin Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ching‐Yao Chan, Arnaud de La Fortelle, Xuxin Cheng, Fei Ye, Biao Yang, Jiucai Zhang, Mengyu Guo, Ding‐Hsiang Huang, Shen Zhang and Tianyu Shi. Their work appears in journals such as IET Intelligent Transport Systems, Frontiers in Psychology, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Intelligent Transportation Systems and Dyes and Pigments.
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.