Wen Yao
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety 10
-
- Video Surveillance and Tracking Methods 4
- Advanced Neural Network Applications 2
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications 5
-
- Traffic and Road Safety 2
- Small Animals top 10%
- Animal Behavior and Welfare Studies 3
-
- Traffic control and management 6
-
- Robotics and Sensor-Based Localization 3
- Co-authors
- Huijing ZhaoHongbin ZhaXijun ZhaoDonghao XuPhilippe BonnifaitBiao GaoFranck DavoineLang Xia
- Journals
- IEEE Transactions on Intelligent Transportation Systems (3 papers)Remote Sensing (1 paper)Computers and Electronics in Agriculture (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Wen Yao
26 papers receiving 467 citations
Peers
Comparison fields: 5 of 83
- Automotive Engineering 193
- Computer Vision and Pattern Recognition 152
- Environmental Engineering 95
- Safety, Risk, Reliability and Quality 55
- Small Animals 40
Countries citing papers authored by Wen Yao
This map shows the geographic impact of Wen Yao'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 Wen Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Yao more than expected).
Fields of papers citing papers by Wen Yao
This network shows the impact of papers produced by Wen Yao. 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 Wen Yao. The network helps show where Wen Yao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wen Yao, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 58 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 26 | |
| 12 | 2019 | 2 | |
| 13 | 2018 | 29 | |
| 14 | 2017 | 12 | |
| 15 | 2016 | 63 | |
| 16 | 2013 | 52 | |
| 17 | Ground-based Visible Cloud Image Classification Method Based on KNN Algorithm | 2012 | 2 |
| 18 | 2012 | 39 | |
| 19 | 2012 | 16 | |
| 20 | 2012 | 5 |
About Wen Yao
Wen Yao is a scholar working on Automotive Engineering, Small Animals and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 484 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (10 papers), Traffic control and management (6 papers), Remote Sensing and LiDAR Applications (5 papers), Video Surveillance and Tracking Methods (4 papers), Animal Behavior and Welfare Studies (3 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Neural Network Applications (2 papers) and Traffic and Road Safety (2 papers). The work is most often cited by research in Automotive Engineering (193 citations), Computer Vision and Pattern Recognition (152 citations) and Environmental Engineering (95 citations). Wen Yao has collaborated with scholars based in China, United States and France. Frequent co-authors include Huijing Zhao, Hongbin Zha, Xijun Zhao, Donghao Xu, Philippe Bonnifait, Biao Gao, Franck Davoine, Lang Xia, Liping Chen and Ruirui Zhang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Remote Sensing and Computers and Electronics in Agriculture.
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.