Fa-Ting Hong
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Multimodal Machine Learning Applications
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
Papers in
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- Human Pose and Action Recognition 7
- Multimodal Machine Learning Applications 6
- Generative Adversarial Networks and Image Synthesis 3
- Face recognition and analysis 3
- Advanced Vision and Imaging 2
- Video Surveillance and Tracking Methods 2
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- Anomaly Detection Techniques and Applications 4
- Co-authors
- Wei‐Shi Zheng (7 shared papers)Dan Xu (3 shared papers)Li Shen (1 shared paper)Ying Shan (2 shared papers)Weihong Li (2 shared papers)Wei Zeng (1 shared paper)Dan Xu (1 shared paper)Yaowei Wang (1 shared paper)
- Journals
- IEEE Transactions on Multimedia (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (2 papers)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Fa-Ting Hong
13 papers receiving 479 citations
Fa-Ting Hong's Hit Papers
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 329
- Artificial Intelligence 294
- Computer Networks and Communications 150
- Signal Processing 48
- Human-Computer Interaction 17
Countries citing papers authored by Fa-Ting Hong
This map shows the geographic impact of Fa-Ting Hong'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 Fa-Ting Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fa-Ting Hong more than expected).
Fields of papers citing papers by Fa-Ting Hong
This network shows the impact of papers produced by Fa-Ting Hong. 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 Fa-Ting Hong. The network helps show where Fa-Ting Hong may publish in the future.
Co-authors
The 25 scholars most cited alongside Fa-Ting Hong, 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 | MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection Hit paper breakdown → | 2021 | 224 |
| 2 | 2022 | 99 | |
| 3 | 2021 | 68 | |
| 4 | 2020 | 41 | |
| 5 | 2019 | 20 | |
| 6 | 2020 | 14 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 |
About Fa-Ting Hong
Fa-Ting Hong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Biomedical Engineering and Computer Networks and Communications, having authored 14 papers that have together received 490 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Multimodal Machine Learning Applications (6 papers), Anomaly Detection Techniques and Applications (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Face recognition and analysis (3 papers), Advanced Vision and Imaging (2 papers), Video Surveillance and Tracking Methods (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (329 citations), Artificial Intelligence (294 citations), Computer Networks and Communications (150 citations), Signal Processing (48 citations) and Human-Computer Interaction (17 citations). Fa-Ting Hong has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Wei‐Shi Zheng, Dan Xu, Li Shen, Ying Shan, Weihong Li, Wei Zeng, Dan Xu, Yaowei Wang, Jianhuang Lai and Qizhi Yu. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems for Video Technology, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.