Bo Chen
Impact in
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- Advanced Image and Video Retrieval Techniques
- Aerospace Engineering top 0.5%
- Advanced SAR Imaging Techniques
- Radar Systems and Signal Processing
- Synthetic Aperture Radar (SAR) Applications and Techniques
Papers in
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- Multimodal Machine Learning Applications 18
- Image and Signal Denoising Methods 13
-
- Topic Modeling 30
- Natural Language Processing Techniques 20
- Domain Adaptation and Few-Shot Learning 19
- Co-authors
- Hongwei LiuJun DingMengyuan HuangJiang WangJingbin WangJames PhilbinThomas LeungYang Song
- Journals
- Signal Processing (8 papers)IEEE Transactions on Signal Processing (8 papers)Pattern Recognition (6 papers)IEEE Geoscience and Remote Sensing Letters (5 papers)IEEE Access (5 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bo Chen
189 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Computer Vision and Pattern Recognition 1.6k
- Aerospace Engineering 1.7k
- Media Technology 409
- Artificial Intelligence 1.5k
- Ocean Engineering 586
Countries citing papers authored by Bo Chen
This map shows the geographic impact of Bo 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 Bo Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Chen more than expected).
Fields of papers citing papers by Bo Chen
This network shows the impact of papers produced by Bo 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 Bo Chen. The network helps show where Bo Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bo 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 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 43 | |
| 12 | 2021 | 29 | |
| 13 | 2021 | 47 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 30 | |
| 16 | 2020 | 2 | |
| 17 | 2020 | 46 | |
| 18 | 2020 | 25 | |
| 19 | 2018 | 7 | |
| 20 | On-orbit radiometric calibration for water-vapor band of FY-2 satellite | 2012 | 0 |
About Bo Chen
Bo Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Media Technology and Oceanography, having authored 211 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (45 papers), Topic Modeling (30 papers), Natural Language Processing Techniques (20 papers), Domain Adaptation and Few-Shot Learning (19 papers), Multimodal Machine Learning Applications (18 papers), Underwater Acoustics Research (17 papers), Geophysical Methods and Applications (15 papers) and Image and Signal Denoising Methods (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Aerospace Engineering (1.7k citations), Media Technology (409 citations), Artificial Intelligence (1.5k citations) and Ocean Engineering (586 citations). Bo Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hongwei Liu, Jun Ding, Mengyuan Huang, Jiang Wang, Jingbin Wang, James Philbin, Thomas Leung, Yang Song, Ying Wu and Zheng Bao. Their work appears in journals such as Signal Processing, IEEE Transactions on Signal Processing, Pattern Recognition, IEEE Geoscience and Remote Sensing Letters and IEEE Access.
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.