Ian Pan
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education 9
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- Radiomics and Machine Learning in Medical Imaging 14
- COVID-19 diagnosis using AI 8
- Autopsy Techniques and Outcomes 3
- Infectious Diseases top 5%
- Archeology top 2%
- Forensic Anthropology and Bioarchaeology Studies 2
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- AI in cancer detection 4
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- Advanced X-ray and CT Imaging 3
- Medical Imaging and Analysis 3
- Co-authors
- Saurabh AgarwalKasey HalseyHarrison X. BaiThi My Linh TranWeihua LiaoB. R. HsiehJi Whae ChoiTerrance T. Healey
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingCritical Care and Intensive Care Medicine
- Journals
- Radiology Artificial Intelligence (5 papers)Journal of Digital Imaging (3 papers)Radiology (3 papers)
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Ian Pan
30 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Health Informatics 335
- Radiology, Nuclear Medicine and Imaging 1.2k
- Critical Care and Intensive Care Medicine 143
- Infectious Diseases 410
- Archeology 144
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 57 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 105 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 19 | |
| 12 | Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CTbreakdown → | 2020 | 825 |
| 13 | 2020 | 26 | |
| 14 | 2020 | 11 | |
| 15 | 2020 | 53 | |
| 16 | 2020 | 80 | |
| 17 | 2019 | 39 | |
| 18 | 2019 | 1 | |
| 19 | 2018 | 283 | |
| 20 | 2017 | 27 |
About Ian Pan
Ian Pan is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Internal Medicine, Archeology and Critical Care and Intensive Care Medicine, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Artificial Intelligence in Healthcare and Education (9 papers), COVID-19 diagnosis using AI (8 papers), AI in cancer detection (4 papers), Autopsy Techniques and Outcomes (3 papers), Advanced X-ray and CT Imaging (3 papers), Medical Imaging and Analysis (3 papers) and Forensic Anthropology and Bioarchaeology Studies (2 papers). The work is most often cited by research in Health Informatics (335 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Critical Care and Intensive Care Medicine (143 citations), Infectious Diseases (410 citations) and Archeology (144 citations). Ian Pan has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Saurabh Agarwal, Kasey Halsey, Harrison X. Bai, Thi My Linh Tran, Weihua Liao, B. R. Hsieh, Ji Whae Choi, Terrance T. Healey, T K Egglin and Mei Ji. Their work appears in journals such as Radiology Artificial Intelligence, Journal of Digital Imaging, Radiology, Radiologic Clinics of North America and Medical Physics.
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.