Shoufa Chen
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Chaos-based Image/Signal Encryption 3
- Advanced Neural Network Applications 3
- Image and Signal Denoising Methods 2
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- Optical Wireless Communication Technologies 6
- PAPR reduction in OFDM 5
- Optical Network Technologies 3
- Co-authors
- Ping Luo (2 shared papers)Yibing Song (1 shared paper)Peize Sun (1 shared paper)Zhongpeng Wang (9 shared papers)Chongjian Ge (1 shared paper)Enze Xie (1 shared paper)Runjian Chen (1 shared paper)Ding Liang (1 shared paper)
In The Last Decade
Shoufa Chen
13 papers receiving 399 citations
Shoufa Chen's Hit Papers
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 226
- Media Technology 56
- Artificial Intelligence 90
- Industrial and Manufacturing Engineering 23
- Computer Graphics and Computer-Aided Design 8
Countries citing papers authored by Shoufa Chen
This map shows the geographic impact of Shoufa 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 Shoufa Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoufa Chen more than expected).
Fields of papers citing papers by Shoufa Chen
This network shows the impact of papers produced by Shoufa 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 Shoufa Chen. The network helps show where Shoufa Chen may publish in the future.
Co-authors
The 15 scholars most cited alongside Shoufa 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 | DiffusionDet: Diffusion Model for Object Detection Hit paper breakdown → | 2023 | 272 |
| 2 | 2023 | 61 | |
| 3 | 2017 | 27 | |
| 4 | 2014 | 13 | |
| 5 | 2018 | 11 | |
| 6 | 2022 | 10 | |
| 7 | 2015 | 7 | |
| 8 | 2020 | 5 | |
| 9 | 2016 | 5 | |
| 10 | 2017 | 4 | |
| 11 | 2016 | 4 | |
| 12 | 2019 | 2 | |
| 13 | 2022 | 1 |
About Shoufa Chen
Shoufa Chen is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computational Mechanics, Artificial Intelligence and Applied Mathematics, having authored 13 papers that have together received 422 indexed citations. Recurring topics across this work include Optical Wireless Communication Technologies (6 papers), PAPR reduction in OFDM (5 papers), Chaos-based Image/Signal Encryption (3 papers), Optical Network Technologies (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (226 citations), Media Technology (56 citations), Artificial Intelligence (90 citations), Industrial and Manufacturing Engineering (23 citations) and Computer Graphics and Computer-Aided Design (8 citations). Shoufa Chen has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Ping Luo, Yibing Song, Peize Sun, Zhongpeng Wang, Chongjian Ge, Enze Xie, Runjian Chen, Ding Liang, Weiwei Qiu and Ziqing Wang. Their work appears in journals such as Optics Communications, Multimedia Tools and Applications, Optical Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence and Optoelectronics Letters.
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.