William Hsu
Impact in
- Health Informatics top 2%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
Papers in
-
- AI in cancer detection 26
- Topic Modeling 13
-
- Radiomics and Machine Learning in Medical Imaging 39
- Medical Imaging Techniques and Applications 9
- Co-authors
- Alex Bui (33 shared papers)Denise R. Aberle (17 shared papers)Shiwen Shen (7 shared papers)Simon Han (9 shared papers)Jason Cong (2 shared papers)Meng Li (1 shared paper)Xiaodong Xie (1 shared paper)Wen Gao (1 shared paper)
- Journals
- Journal of the American College of Radiology (5 papers)American Journal of Roentgenology (4 papers)Computers in Biology and Medicine (4 papers)Journal of Biomedical Informatics (4 papers)Yearbook of Medical Informatics (4 papers)
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
William Hsu
188 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 171
- Health Informatics 66
- Radiology, Nuclear Medicine and Imaging 672
- Pulmonary and Respiratory Medicine 684
- Health Information Management 85
- Artificial Intelligence 584
Countries citing papers authored by William Hsu
This map shows the geographic impact of William Hsu'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 William Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Hsu more than expected).
Fields of papers citing papers by William Hsu
This network shows the impact of papers produced by William Hsu. 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 William Hsu. The network helps show where William Hsu may publish in the future.
Co-authors
The 25 scholars most cited alongside William Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 205 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 237 | |
| 2 | 2018 | 213 | |
| 3 | 2019 | 206 | |
| 4 | 2015 | 113 | |
| 5 | A Survey of Algorithms for Real-Time Bayesian Network Inference | 2002 | 88 |
| 6 | 2014 | 84 | |
| 7 | 2018 | 71 | |
| 8 | 2012 | 69 | |
| 9 | 2008 | 67 | |
| 10 | 2023 | 58 | |
| 11 | 2005 | 48 | |
| 12 | 2020 | 47 | |
| 13 | 2021 | 47 | |
| 14 | 2002 | 46 | |
| 15 | 2018 | 43 | |
| 16 | 2019 | 42 | |
| 17 | 2019 | 38 | |
| 18 | 2019 | 36 | |
| 19 | 2022 | 31 | |
| 20 | 2009 | 29 |
About William Hsu
William Hsu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology and Computer Vision and Pattern Recognition, having authored 205 papers that have together received 2.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (39 papers), AI in cancer detection (26 papers), Biomedical Text Mining and Ontologies (23 papers), Lung Cancer Diagnosis and Treatment (19 papers), Topic Modeling (13 papers), Colorectal Cancer Screening and Detection (12 papers), Scientific Computing and Data Management (10 papers) and Medical Imaging Techniques and Applications (9 papers). The work is most often cited by research in Health Informatics (66 citations), Radiology, Nuclear Medicine and Imaging (672 citations), Pulmonary and Respiratory Medicine (684 citations), Health Information Management (85 citations) and Artificial Intelligence (584 citations). William Hsu has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Alex Bui, Denise R. Aberle, Shiwen Shen, Simon Han, Jason Cong, Meng Li, Xiaodong Xie, Wen Gao, Ricky K. Taira and Fei‐Yuan Hsiao. Their work appears in journals such as Journal of the American College of Radiology, American Journal of Roentgenology, Computers in Biology and Medicine, Journal of Biomedical Informatics and Yearbook of Medical Informatics.
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.