Fei Yan
Impact in
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- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Robotics and Sensor-Based Localization 30
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- Advanced Image and Video Retrieval Techniques 9
- Robotic Path Planning Algorithms 7
- Co-authors
- Yan Zhuang (29 shared papers)Jizhong Xiao (4 shared papers)Huosheng Hu (5 shared papers)Sen Wang (3 shared papers)Wei Wang (7 shared papers)Nan Jiang (1 shared paper)Martin Baumann (6 shared papers)Yang Wang (1 shared paper)
- Journals
- IEEE Transactions on Instrumentation and Measurement (5 papers)IEEE Sensors Journal (3 papers)Atmospheric Research (2 papers)Sensors (2 papers)Neurocomputing (2 papers)
- Partner nations
- ChinaUnited KingdomGermany
In The Last Decade
Fei Yan
59 papers receiving 872 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 433
- Aerospace Engineering 379
- Geology 87
- Instrumentation 27
- Environmental Engineering 86
Countries citing papers authored by Fei Yan
This map shows the geographic impact of Fei Yan'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 Fei Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Yan more than expected).
Fields of papers citing papers by Fei Yan
This network shows the impact of papers produced by Fei Yan. 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 Fei Yan. The network helps show where Fei Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Yan, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 131 | |
| 2 | 2019 | 69 | |
| 3 | 2012 | 68 | |
| 4 | 2019 | 60 | |
| 5 | 2022 | 52 | |
| 6 | 2018 | 49 | |
| 7 | 2016 | 47 | |
| 8 | 2019 | 39 | |
| 9 | 2020 | 38 | |
| 10 | 2014 | 35 | |
| 11 | 2020 | 29 | |
| 12 | 2012 | 21 | |
| 13 | 2017 | 18 | |
| 14 | 2023 | 17 | |
| 15 | 2023 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2024 | 15 | |
| 18 | 2013 | 13 | |
| 19 | 2013 | 12 | |
| 20 | 2020 | 10 |
About Fei Yan
Fei Yan is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Geology, Social Psychology and Environmental Engineering, having authored 63 papers that have together received 891 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (30 papers), 3D Surveying and Cultural Heritage (17 papers), Human-Automation Interaction and Safety (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Remote Sensing and LiDAR Applications (8 papers), Autonomous Vehicle Technology and Safety (7 papers), Traffic and Road Safety (7 papers) and Robotic Path Planning Algorithms (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (433 citations), Aerospace Engineering (379 citations), Geology (87 citations), Instrumentation (27 citations) and Environmental Engineering (86 citations). Fei Yan has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Yan Zhuang, Jizhong Xiao, Huosheng Hu, Sen Wang, Wei Wang, Nan Jiang, Martin Baumann, Yang Wang, Chuanfeng Zhao and Xiaobo Dong. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, Atmospheric Research, Sensors and Neurocomputing.
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.