Fu-En Yang
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
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- Music and Audio Processing
Papers in
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- Multimodal Machine Learning Applications 5
- Generative Adversarial Networks and Image Synthesis 4
- Advanced Image Processing Techniques 2
- Video Surveillance and Tracking Methods 1
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- Domain Adaptation and Few-Shot Learning 6
- Text and Document Classification Technologies 2
- Co-authors
- Yu-Chiang Frank Wang (13 shared papers)Yu-Jhe Li (2 shared papers)Yen‐Cheng Liu (1 shared paper)Xiaofei Du (1 shared paper)Yu-Ying Yeh (1 shared paper)Shang‐Fu Chen (1 shared paper)Yuan‐Hao Lee (3 shared papers)Yen‐Ting Liu (1 shared paper)
- Journals
- International Journal of Computer Vision (1 paper)IEEE Transactions on Image Processing (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Fu-En Yang
12 papers receiving 226 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 188
- Signal Processing 40
- Computer Graphics and Computer-Aided Design 11
- Artificial Intelligence 78
- Health Informatics 2
Countries citing papers authored by Fu-En Yang
This map shows the geographic impact of Fu-En Yang'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 Fu-En Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fu-En Yang more than expected).
Fields of papers citing papers by Fu-En Yang
This network shows the impact of papers produced by Fu-En Yang. 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 Fu-En Yang. The network helps show where Fu-En Yang may publish in the future.
Co-authors
The 12 scholars most cited alongside Fu-En Yang, 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 | 2018 | 67 | |
| 2 | 2019 | 39 | |
| 3 | 2021 | 25 | |
| 4 | 2023 | 21 | |
| 5 | 2020 | 19 | |
| 6 | Adversarial Teacher-Student Representation Learning for Domain Generalization | 2021 | 17 |
| 7 | 2022 | 14 | |
| 8 | 2023 | 12 | |
| 9 | 2019 | 8 | |
| 10 | 2023 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 0 |
About Fu-En Yang
Fu-En Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Sociology and Political Science and Signal Processing, having authored 13 papers that have together received 229 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Image Processing Techniques (2 papers), Text and Document Classification Technologies (2 papers), COVID-19 diagnosis using AI (1 paper), Spam and Phishing Detection (1 paper) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (188 citations), Signal Processing (40 citations), Computer Graphics and Computer-Aided Design (11 citations), Artificial Intelligence (78 citations) and Health Informatics (2 citations). Fu-En Yang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yu-Chiang Frank Wang, Yu-Jhe Li, Yen‐Cheng Liu, Xiaofei Du, Yu-Ying Yeh, Shang‐Fu Chen, Yuan‐Hao Lee, Yen‐Ting Liu, Cheng-Fu Yang and Chia-Ching Lin. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Image Processing, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.