Jiyon Lee
Impact in
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
-
- Radiology practices and education 4
- Radiomics and Machine Learning in Medical Imaging 3
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- Educational Systems and Policies 6
- Education and Learning Interventions 5
- Co-authors
- Freya Ruth Schnabel (5 shared papers)Jennifer Chun (4 shared papers)Hildegard B. Toth (1 shared paper)Cristina M. Checka (1 shared paper)Jung Won Kim (1 shared paper)David Rothbart (1 shared paper)Gregory R. Criscuolo (1 shared paper)Robert E. Harbaugh (1 shared paper)
- Journals
- American Journal of Roentgenology (4 papers)Journal of the American College of Radiology (4 papers)Annals of Surgical Oncology (2 papers)Scientific Reports (2 papers)Neurosurgery (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Jiyon Lee
34 papers receiving 1.5k citations
Jiyon Lee's Hit Papers
Peers
Comparison fields: 5 of 126
- Health Informatics 57
- Radiology, Nuclear Medicine and Imaging 515
- Artificial Intelligence 488
- Cancer Research 182
- Neurology 172
Countries citing papers authored by Jiyon Lee
This map shows the geographic impact of Jiyon Lee'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 Jiyon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiyon Lee more than expected).
Fields of papers citing papers by Jiyon Lee
This network shows the impact of papers produced by Jiyon Lee. 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 Jiyon Lee. The network helps show where Jiyon Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiyon Lee, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening Hit paper breakdown → | 2019 | 489 |
| 2 | The Relationship of Mammographic Density and Age: Implications for Breast Cancer Screening Hit paper breakdown → | 2012 | 332 |
| 3 | 1996 | 199 | |
| 4 | 2009 | 97 | |
| 5 | 2016 | 86 | |
| 6 | 2019 | 39 | |
| 7 | 2017 | 38 | |
| 8 | 2016 | 36 | |
| 9 | 2019 | 35 | |
| 10 | 2019 | 23 | |
| 11 | 2022 | 23 | |
| 12 | 2015 | 21 | |
| 13 | 2015 | 20 | |
| 14 | 2016 | 19 | |
| 15 | 2020 | 17 | |
| 16 | 2014 | 15 | |
| 17 | 2014 | 13 | |
| 18 | 2020 | 11 | |
| 19 | 2015 | 10 | |
| 20 | 2020 | 9 |
About Jiyon Lee
Jiyon Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Information Systems, Oncology, Pulmonary and Respiratory Medicine and Gender Studies, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Educational Systems and Policies (6 papers), Global Cancer Incidence and Screening (5 papers), Education and Learning Interventions (5 papers), Digital Radiography and Breast Imaging (4 papers), Radiology practices and education (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Psychosocial Factors Impacting Youth (3 papers). The work is most often cited by research in Health Informatics (57 citations), Radiology, Nuclear Medicine and Imaging (515 citations), Artificial Intelligence (488 citations), Cancer Research (182 citations) and Neurology (172 citations). Jiyon Lee has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Freya Ruth Schnabel, Jennifer Chun, Hildegard B. Toth, Cristina M. Checka, Jung Won Kim, David Rothbart, Gregory R. Criscuolo, Robert E. Harbaugh, Issam A. Awad and Linda P. Moy. Their work appears in journals such as American Journal of Roentgenology, Journal of the American College of Radiology, Annals of Surgical Oncology, Scientific Reports and Neurosurgery.
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.