Baifan Chen
Impact in
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- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
- Visual Attention and Saliency Detection
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
Papers in
-
- Advanced Image and Video Retrieval Techniques 15
- Robotic Path Planning Algorithms 11
- Video Surveillance and Tracking Methods 8
- Advanced Neural Network Applications 6
- Visual Attention and Saliency Detection 5
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- Robotics and Sensor-Based Localization 19
- Co-authors
- Lingli Yu (11 shared papers)Yu-qian Zhao (7 shared papers)Fan Zhang (2 shared papers)Yong Wang (2 shared papers)Chunhua Yang (3 shared papers)Biao Luo (3 shared papers)Xiaoyang Xiao (1 shared paper)Dezhen Song (3 shared papers)
- Journals
- Applied Sciences (4 papers)Sensors (4 papers)IEEE Geoscience and Remote Sensing Letters (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Neural Computing and Applications (1 paper)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Baifan Chen
39 papers receiving 372 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 215
- Aerospace Engineering 121
- Automotive Engineering 36
- Media Technology 24
- Geology 14
Countries citing papers authored by Baifan Chen
This map shows the geographic impact of Baifan 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 Baifan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baifan Chen more than expected).
Fields of papers citing papers by Baifan Chen
This network shows the impact of papers produced by Baifan 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 Baifan Chen. The network helps show where Baifan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Baifan 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
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 78 | |
| 2 | 2018 | 35 | |
| 3 | 2019 | 32 | |
| 4 | 2019 | 27 | |
| 5 | 2023 | 23 | |
| 6 | 2021 | 21 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2020 | 8 | |
| 12 | 2025 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2008 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2011 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2024 | 5 |
About Baifan Chen
Baifan Chen is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering, Geology and Environmental Engineering, having authored 44 papers that have together received 380 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (19 papers), Advanced Image and Video Retrieval Techniques (15 papers), Robotic Path Planning Algorithms (11 papers), Video Surveillance and Tracking Methods (8 papers), Indoor and Outdoor Localization Technologies (6 papers), Advanced Neural Network Applications (6 papers), Visual Attention and Saliency Detection (5 papers) and Autonomous Vehicle Technology and Safety (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (215 citations), Aerospace Engineering (121 citations), Automotive Engineering (36 citations), Media Technology (24 citations) and Geology (14 citations). Baifan Chen has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Lingli Yu, Yu-qian Zhao, Fan Zhang, Yong Wang, Chunhua Yang, Biao Luo, Xiaoyang Xiao, Dezhen Song, Xiangdong Zhou and Feng Lu. Their work appears in journals such as Applied Sciences, Sensors, IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Neural Networks and Learning Systems and Neural Computing and Applications.
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.