Michael Kuo
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
- Health Informatics top 0.5%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 11
- Medical Imaging Techniques and Applications 6
- Radiation Dose and Imaging 4
- COVID-19 diagnosis using AI 3
- Surgery 13
- Co-authors
- Robert C. Orth (5 shared papers)Aaron M. Rutman (2 shared papers)Ming‐Yen Ng (3 shared papers)Macy Mei‐Sze Lui (3 shared papers)Elaine Lee (2 shared papers)Christine Shing-Yen Lo (2 shared papers)Claude B. Sirlin (4 shared papers)Shota Yamamoto (7 shared papers)
- Journals
- Journal of Vascular and Interventional Radiology (19 papers)Radiology (10 papers)Blood (2 papers)European Radiology (2 papers)American Journal of Roentgenology (2 papers)
- Partner nations
- United StatesHong KongUnited Kingdom
In The Last Decade
Michael Kuo
70 papers receiving 5.9k citations
Michael Kuo's Hit Papers
Peers
Comparison fields: 5 of 128
- Radiology, Nuclear Medicine and Imaging 2.8k
- Health Informatics 175
- Hepatology 565
- Critical Care and Intensive Care Medicine 223
- Infectious Diseases 664
Countries citing papers authored by Michael Kuo
This map shows the geographic impact of Michael Kuo'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 Michael Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kuo more than expected).
Fields of papers citing papers by Michael Kuo
This network shows the impact of papers produced by Michael Kuo. 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 Michael Kuo. The network helps show where Michael Kuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Kuo, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19 Hit paper breakdown → | 2020 | 1051 |
| 2 | Imaging Profile of the COVID-19 Infection: Radiologic Findings and Literature Review Hit paper breakdown → | 2020 | 780 |
| 3 | 2007 | 493 | |
| 4 | 2008 | 374 | |
| 5 | 2015 | 282 | |
| 6 | 2008 | 260 | |
| 7 | 2009 | 257 | |
| 8 | 2009 | 238 | |
| 9 | 2008 | 203 | |
| 10 | 2012 | 149 | |
| 11 | 2007 | 145 | |
| 12 | 2014 | 135 | |
| 13 | 2011 | 130 | |
| 14 | 2013 | 109 | |
| 15 | 2015 | 108 | |
| 16 | 2009 | 106 | |
| 17 | 2008 | 89 | |
| 18 | 2013 | 86 | |
| 19 | 1999 | 75 | |
| 20 | 2000 | 65 |
About Michael Kuo
Michael Kuo is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine, Molecular Biology and Oncology, having authored 71 papers that have together received 6.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Imaging Techniques and Applications (6 papers), Viral-associated cancers and disorders (4 papers), Radiation Dose and Imaging (4 papers), Advanced X-ray and CT Imaging (3 papers), Immune Cell Function and Interaction (3 papers), COVID-19 diagnosis using AI (3 papers) and Acute Myocardial Infarction Research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.8k citations), Health Informatics (175 citations), Hepatology (565 citations), Critical Care and Intensive Care Medicine (223 citations) and Infectious Diseases (664 citations). Michael Kuo has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include Robert C. Orth, Aaron M. Rutman, Ming‐Yen Ng, Macy Mei‐Sze Lui, Elaine Lee, Christine Shing-Yen Lo, Claude B. Sirlin, Shota Yamamoto, Ronald L. Korn and Michael J. Wallace. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Radiology, Blood, European Radiology and American Journal of Roentgenology.
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.