Junfeng Chen
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Robotic Path Planning Algorithms
- Image Enhancement Techniques
- Video Surveillance and Tracking Methods
- Visual Attention and Saliency Detection
- Media Technology top 10%
- Advanced Image Fusion Techniques
Papers in
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- Robotic Path Planning Algorithms 3
- Advanced Vision and Imaging 2
- Video Surveillance and Tracking Methods 2
- Advanced Neural Network Applications 2
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- Robotics and Sensor-Based Localization 4
- Co-authors
- Tin Lun Lam (8 shared papers)Junjie Hu (5 shared papers)Fuqin Deng (6 shared papers)Feng Hua (2 shared papers)Yuan Gao (2 shared papers)Yong Yang (2 shared papers)Guanqi Liang (3 shared papers)Xi Chen (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (3 papers)Applied Optics (1 paper)Materials Science and Engineering A (1 paper)IEEE Transactions on Robotics (1 paper)2022 International Conference on Robotics and Automation (ICRA) (2 papers)
- Partner nations
- ChinaUnited KingdomPoland
In The Last Decade
Junfeng Chen
12 papers receiving 272 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 178
- Media Technology 29
- Aerospace Engineering 80
- Industrial and Manufacturing Engineering 26
- Geology 9
Countries citing papers authored by Junfeng Chen
This map shows the geographic impact of Junfeng Chen'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 Junfeng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfeng Chen more than expected).
Fields of papers citing papers by Junfeng Chen
This network shows the impact of papers produced by Junfeng Chen. 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 Junfeng Chen. The network helps show where Junfeng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfeng Chen, 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 | 2021 | 97 | |
| 2 | 2021 | 63 | |
| 3 | 2021 | 29 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 17 | |
| 6 | 2021 | 16 | |
| 7 | 2016 | 11 | |
| 8 | 2022 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 3 |
About Junfeng Chen
Junfeng Chen is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Mechanical Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 12 papers that have together received 277 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Reinforcement Learning in Robotics (3 papers), Distributed Control Multi-Agent Systems (3 papers), Robotic Path Planning Algorithms (3 papers), Modular Robots and Swarm Intelligence (3 papers), Advanced Vision and Imaging (2 papers), Video Surveillance and Tracking Methods (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (178 citations), Media Technology (29 citations), Aerospace Engineering (80 citations), Industrial and Manufacturing Engineering (26 citations) and Geology (9 citations). Junfeng Chen has collaborated with scholars based in China, United Kingdom and Poland. Frequent co-authors include Tin Lun Lam, Junjie Hu, Fuqin Deng, Feng Hua, Yuan Gao, Yong Yang, Guanqi Liang, Xi Chen, Xiaofei Li and Jingyu Wang. Their work appears in journals such as IEEE Robotics and Automation Letters, Applied Optics, Materials Science and Engineering A, IEEE Transactions on Robotics and 2022 International Conference on Robotics and Automation (ICRA).
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.