Yu-Siang Wang
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Artificial Intelligence top 10%
- Topic Modeling
- Adversarial Robustness in Machine Learning
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
Papers in
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- Natural Language Processing Techniques 4
- Topic Modeling 4
- Domain Adaptation and Few-Shot Learning 2
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- Multimodal Machine Learning Applications 5
- Human Pose and Action Recognition 3
- Co-authors
- Alan Yuille (2 shared papers)Xiaohui Zeng (2 shared papers)Winston H. Hsu (5 shared papers)Wei-Yun Ma (1 shared paper)Ju-Chieh Chou (1 shared paper)Ya-Liang Chang (3 shared papers)Chenxi Liu (1 shared paper)Yu‐Wing Tai (1 shared paper)
- Journals
- Resuscitation (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)ACM Transactions on Multimedia Computing Communications and Applications (1 paper)Journal of Biomedical Informatics (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
- Partner nations
- TaiwanCanadaUnited States
In The Last Decade
Yu-Siang Wang
10 papers receiving 269 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 137
- Artificial Intelligence 162
- Emergency Medicine 40
- Health Informatics 4
- Hardware and Architecture 8
Countries citing papers authored by Yu-Siang Wang
This map shows the geographic impact of Yu-Siang Wang'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 Yu-Siang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Siang Wang more than expected).
Fields of papers citing papers by Yu-Siang Wang
This network shows the impact of papers produced by Yu-Siang Wang. 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 Yu-Siang Wang. The network helps show where Yu-Siang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu-Siang Wang, 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 | 2019 | 60 | |
| 2 | 2017 | 48 | |
| 3 | 2021 | 37 | |
| 4 | 2018 | 36 | |
| 5 | 2019 | 33 | |
| 6 | 2021 | 28 | |
| 7 | 2018 | 19 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 6 | |
| 10 | 2021 | 1 |
About Yu-Siang Wang
Yu-Siang Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Emergency Medicine, Molecular Biology and Radiological and Ultrasound Technology, having authored 10 papers that have together received 278 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers), Human Pose and Action Recognition (3 papers), Cardiac Arrest and Resuscitation (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Trauma and Emergency Care Studies (1 paper) and Bacillus and Francisella bacterial research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (137 citations), Artificial Intelligence (162 citations), Emergency Medicine (40 citations), Health Informatics (4 citations) and Hardware and Architecture (8 citations). Yu-Siang Wang has collaborated with scholars based in Taiwan, Canada and United States. Frequent co-authors include Alan Yuille, Xiaohui Zeng, Winston H. Hsu, Wei-Yun Ma, Ju-Chieh Chou, Ya-Liang Chang, Chenxi Liu, Chenxi Liu, Yu‐Wing Tai and Lingxi Xie. Their work appears in journals such as Resuscitation, IEEE Transactions on Circuits and Systems for Video Technology, ACM Transactions on Multimedia Computing Communications and Applications, Journal of Biomedical Informatics 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.