Huei‐Fang Yang
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- Advanced Image and Video Retrieval Techniques 12
- Video Surveillance and Tracking Methods 8
- Generative Adversarial Networks and Image Synthesis 3
- Video Analysis and Summarization 3
- Advanced Neural Network Applications 3
- Image Retrieval and Classification Techniques 3
- Media Technology top 5%
- Signal Processing top 10%
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning 7
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- Cell Image Analysis Techniques 3
- Co-authors
- Chu‐Song ChenJen-Hao HsiaoKevin LinYoonsuck ChoeKuang-Yu ChangKuan-Hsien LiuYueh‐Chun LeeYen‐Lin Chen
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Neural Networks and Learning Systems (2 papers)Cognitive Science (1 paper)
- Partner nations
- TaiwanUnited StatesFrance
In The Last Decade
Huei‐Fang Yang
23 papers receiving 804 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 733
- Media Technology 57
- Signal Processing 52
- Artificial Intelligence 141
- Structural Biology 6
Countries citing papers authored by Huei‐Fang Yang
This map shows the geographic impact of Huei‐Fang 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 Huei‐Fang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huei‐Fang Yang more than expected).
Fields of papers citing papers by Huei‐Fang Yang
This network shows the impact of papers produced by Huei‐Fang 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 Huei‐Fang Yang. The network helps show where Huei‐Fang Yang may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Huei‐Fang 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2022 | 0 | |
| 5 | 2021 | 3 | |
| 6 | 2019 | 1 | |
| 7 | 2019 | 3 | |
| 8 | 2018 | 16 | |
| 9 | 2018 | 0 | |
| 10 | 2017 | 224 | |
| 11 | 2015 | 27 | |
| 12 | 2015 | 48 | |
| 13 | Deep learning of binary hash codes for fast image retrievalbreakdown → | 2015 | 405 |
| 14 | 2013 | 10 | |
| 15 | A Quick Browsing System for Surveillance Videos | 2011 | 2 |
| 16 | 2010 | 3 | |
| 17 | 2009 | 4 | |
| 18 | 2009 | 2 | |
| 19 | 2009 | 19 | |
| 20 | 2008 | 5 |
About Huei‐Fang Yang
Huei‐Fang Yang is a scholar working on Structural Biology, Computer Vision and Pattern Recognition and Biophysics, having authored 26 papers that have together received 829 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (12 papers), Video Surveillance and Tracking Methods (8 papers), Domain Adaptation and Few-Shot Learning (7 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Video Analysis and Summarization (3 papers), Advanced Neural Network Applications (3 papers), Image Retrieval and Classification Techniques (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (733 citations), Media Technology (57 citations) and Signal Processing (52 citations). Huei‐Fang Yang has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Chu‐Song Chen, Jen-Hao Hsiao, Kevin Lin, Kevin Lin, Yoonsuck Choe, Kuang-Yu Chang, Kuan-Hsien Liu, Yueh‐Chun Lee, Yen‐Lin Chen and Mei-Chen Yeh. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Cognitive Science.
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.