Fan Ren
Impact in
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- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
Papers in
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- Robotic Path Planning Algorithms 5
- Video Surveillance and Tracking Methods 4
- Advanced Neural Network Applications 3
- Advanced Vision and Imaging 3
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- Robotics and Sensor-Based Localization 6
- Co-authors
- Ke Wang (4 shared papers)Yuanhong Zhong (5 shared papers)Xia Chen (3 shared papers)Yong Tao (6 shared papers)Tianmiao Wang (5 shared papers)Shan Jiang (4 shared papers)He Gao (2 shared papers)Hegen Xiong (2 shared papers)
- Journals
- Applied Sciences (3 papers)IEEE Transactions on Computational Imaging (1 paper)Science China Information Sciences (1 paper)Mathematical Biosciences & Engineering (1 paper)IEEE Sensors Journal (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Fan Ren
19 papers receiving 336 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 203
- Artificial Intelligence 138
- Computer Networks and Communications 92
- Automotive Engineering 41
- Aerospace Engineering 82
Countries citing papers authored by Fan Ren
This map shows the geographic impact of Fan Ren'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 Fan Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Ren more than expected).
Fields of papers citing papers by Fan Ren
This network shows the impact of papers produced by Fan Ren. 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 Fan Ren. The network helps show where Fan Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan Ren, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2021 | 57 | |
| 3 | 2021 | 56 | |
| 4 | 2022 | 45 | |
| 5 | 2021 | 32 | |
| 6 | 2021 | 20 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2019 | 4 | |
| 12 | 2020 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2023 | 0 |
About Fan Ren
Fan Ren is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence and Biomedical Engineering, having authored 22 papers that have together received 344 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (5 papers), Anomaly Detection Techniques and Applications (4 papers), Video Surveillance and Tracking Methods (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Advanced Neural Network Applications (3 papers), Network Security and Intrusion Detection (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (203 citations), Artificial Intelligence (138 citations), Computer Networks and Communications (92 citations), Automotive Engineering (41 citations) and Aerospace Engineering (82 citations). Fan Ren has collaborated with scholars based in China and United States. Frequent co-authors include Ke Wang, Yuanhong Zhong, Xia Chen, Yong Tao, Tianmiao Wang, Shan Jiang, He Gao, Hegen Xiong, Jianbo Lǚ and Lei Xiao. Their work appears in journals such as Applied Sciences, IEEE Transactions on Computational Imaging, Science China Information Sciences, Mathematical Biosciences & Engineering and IEEE Sensors Journal.
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.