Ian Pan
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 11
- COVID-19 diagnosis using AI 7
- Radiology practices and education 2
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- Artificial Intelligence in Healthcare and Education 8
- Co-authors
- Saurabh Agarwal (2 shared papers)Harrison X. Bai (2 shared papers)Kasey Halsey (3 shared papers)Thi My Linh Tran (3 shared papers)B. R. Hsieh (2 shared papers)Weihua Liao (2 shared papers)Dongcui Wang (1 shared paper)Michael K. Atalay (1 shared paper)
- Journals
- Radiology Artificial Intelligence (5 papers)Radiology (3 papers)Journal of Digital Imaging (3 papers)Retina (1 paper)EBioMedicine (1 paper)
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Ian Pan
31 papers receiving 1.9k citations
Ian Pan's Hit Papers
Peers
Comparison fields: 5 of 112
- Health Informatics 301
- Radiology, Nuclear Medicine and Imaging 981
- Critical Care and Intensive Care Medicine 110
- Infectious Diseases 363
- Archeology 160
Countries citing papers authored by Ian Pan
This map shows the geographic impact of Ian Pan'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 Ian Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Pan more than expected).
Fields of papers citing papers by Ian Pan
This network shows the impact of papers produced by Ian Pan. 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 Ian Pan. The network helps show where Ian Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Pan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT Hit paper breakdown → | 2020 | 866 |
| 2 | 2018 | 315 | |
| 3 | 2021 | 117 | |
| 4 | 2020 | 85 | |
| 5 | 2023 | 70 | |
| 6 | 2020 | 69 | |
| 7 | 2019 | 62 | |
| 8 | 2020 | 56 | |
| 9 | 2019 | 49 | |
| 10 | 2019 | 42 | |
| 11 | 2017 | 31 | |
| 12 | 2020 | 27 | |
| 13 | 2021 | 22 | |
| 14 | 2022 | 16 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2020 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2022 | 7 |
About Ian Pan
Ian Pan is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Pulmonary and Respiratory Medicine, Artificial Intelligence and Archeology, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Artificial Intelligence in Healthcare and Education (8 papers), COVID-19 diagnosis using AI (7 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers), AI in cancer detection (3 papers), Advanced X-ray and CT Imaging (2 papers), Radiology practices and education (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Informatics (301 citations), Radiology, Nuclear Medicine and Imaging (981 citations), Critical Care and Intensive Care Medicine (110 citations), Infectious Diseases (363 citations) and Archeology (160 citations). Ian Pan has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Saurabh Agarwal, Harrison X. Bai, Kasey Halsey, Thi My Linh Tran, B. R. Hsieh, Weihua Liao, Dongcui Wang, Michael K. Atalay, Sha Li and Mei Ji. Their work appears in journals such as Radiology Artificial Intelligence, Radiology, Journal of Digital Imaging, Retina and EBioMedicine.
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.