Run-Min Wang
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
-
- Autonomous Vehicle Technology and Safety 8
-
- Traffic Prediction and Management Techniques 4
- Co-authors
- Zhigang Xu (9 shared papers)Xiangmo Zhao (9 shared papers)Pengpeng Sun (2 shared papers)Haigen Min (2 shared papers)Xiaofeng Shao (3 shared papers)Peng Liu (1 shared paper)Xiaochi Li (2 shared papers)Tingting Li (1 shared paper)
- Journals
- Journal of Advanced Transportation (3 papers)Accident Analysis & Prevention (1 paper)IEEE Sensors Journal (1 paper)IEEE Transactions on Instrumentation and Measurement (1 paper)IET Intelligent Transport Systems (1 paper)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Run-Min Wang
17 papers receiving 308 citations
Peers
Comparison fields: 5 of 65
- Automotive Engineering 119
- Transportation 26
- Control and Systems Engineering 82
- Environmental Engineering 49
- Building and Construction 45
Countries citing papers authored by Run-Min Wang
This map shows the geographic impact of Run-Min 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 Run-Min Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run-Min Wang more than expected).
Fields of papers citing papers by Run-Min Wang
This network shows the impact of papers produced by Run-Min 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 Run-Min Wang. The network helps show where Run-Min Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Run-Min 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 78 | |
| 2 | 2019 | 55 | |
| 3 | 2021 | 39 | |
| 4 | 2022 | 27 | |
| 5 | 2021 | 20 | |
| 6 | 2021 | 19 | |
| 7 | 2020 | 17 | |
| 8 | 2020 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2021 | 6 | |
| 13 | 2025 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2020 | 0 |
About Run-Min Wang
Run-Min Wang is a scholar working on Automotive Engineering, Building and Construction, Statistics and Probability, Safety, Risk, Reliability and Quality and Control and Systems Engineering, having authored 18 papers that have together received 314 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (8 papers), Traffic control and management (4 papers), Traffic Prediction and Management Techniques (4 papers), Statistical Methods and Inference (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), Human-Automation Interaction and Safety (3 papers), Traffic and Road Safety (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Automotive Engineering (119 citations), Transportation (26 citations), Control and Systems Engineering (82 citations), Environmental Engineering (49 citations) and Building and Construction (45 citations). Run-Min Wang has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Zhigang Xu, Xiangmo Zhao, Pengpeng Sun, Haigen Min, Xiaofeng Shao, Peng Liu, Xiaochi Li, Tingting Li, Xishun Liao and Lan Yang. Their work appears in journals such as Journal of Advanced Transportation, Accident Analysis & Prevention, IEEE Sensors Journal, IEEE Transactions on Instrumentation and Measurement and IET Intelligent Transport 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.