Flood Sung
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
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- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Anomaly Detection Techniques and Applications
Papers in
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- Domain Adaptation and Few-Shot Learning 3
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- Multimodal Machine Learning Applications 1
- Human Pose and Action Recognition 1
- Co-authors
- Yongxin Yang (2 shared papers)Timothy M. Hospedales (2 shared papers)Xueting Zhang (1 shared paper)Jian Luan (1 shared paper)Xiuying Chen (1 shared paper)Xiaoqing Zhang (1 shared paper)Shuo Shang (1 shared paper)
- Journals
- arXiv (Cornell University) (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Flood Sung
3 papers receiving 24 citations
Peers
Comparison fields: 5 of 11
- Computer Vision and Pattern Recognition 13
- Artificial Intelligence 20
- Media Technology 3
- Ocean Engineering 3
- Aerospace Engineering 4
Countries citing papers authored by Flood Sung
This map shows the geographic impact of Flood Sung'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 Flood Sung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flood Sung more than expected).
Fields of papers citing papers by Flood Sung
This network shows the impact of papers produced by Flood Sung. 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 Flood Sung. The network helps show where Flood Sung may publish in the future.
Co-authors
The 8 scholars most cited alongside Flood Sung, 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 | 2020 | 13 | |
| 2 | Deep Comparison: Relation Columns for Few-Shot Learning. | 2018 | 10 |
| 3 | 2025 | 1 |
About Flood Sung
Flood Sung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Ocean Engineering, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 24 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (1 paper), Human Pose and Action Recognition (1 paper) and Geophysical Methods and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (13 citations), Artificial Intelligence (20 citations), Media Technology (3 citations), Ocean Engineering (3 citations) and Aerospace Engineering (4 citations). Flood Sung has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Yongxin Yang, Timothy M. Hospedales, Xueting Zhang, Xueting Zhang, Jian Luan, Xiuying Chen, Xiaoqing Zhang and Shuo Shang. Their work appears in journals such as arXiv (Cornell University).
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.