Mi-ri Kwon
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 8
- MRI in cancer diagnosis 5
- Medical Imaging Techniques and Applications 2
- Co-authors
- Jung Hee Shin (6 shared papers)Soo Yeon Hahn (4 shared papers)Boo‐Kyung Han (7 shared papers)Ji Soo Choi (6 shared papers)Eun Young Ko (7 shared papers)Eun Sook Ko (6 shared papers)Ko Woon Park (5 shared papers)Hwan-ho Cho (2 shared papers)
- Journals
- Scientific Reports (4 papers)Korean Journal of Radiology (3 papers)Radiology (2 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Mi-ri Kwon
24 papers receiving 341 citations
Peers
Comparison fields: 5 of 58
- Health Informatics 33
- Radiology, Nuclear Medicine and Imaging 219
- Endocrinology, Diabetes and Metabolism 93
- Artificial Intelligence 136
- Pathology and Forensic Medicine 51
Countries citing papers authored by Mi-ri Kwon
This map shows the geographic impact of Mi-ri Kwon'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 Mi-ri Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi-ri Kwon more than expected).
Fields of papers citing papers by Mi-ri Kwon
This network shows the impact of papers produced by Mi-ri Kwon. 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 Mi-ri Kwon. The network helps show where Mi-ri Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi-ri Kwon, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 83 | |
| 2 | 2020 | 44 | |
| 3 | 2020 | 40 | |
| 4 | 2021 | 29 | |
| 5 | 2020 | 25 | |
| 6 | 2020 | 23 | |
| 7 | 2018 | 17 | |
| 8 | 2018 | 14 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2015 | 9 | |
| 12 | 2024 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2019 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2022 | 3 |
About Mi-ri Kwon
Mi-ri Kwon is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Surgery and Pathology and Forensic Medicine, having authored 27 papers that have together received 351 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (5 papers), MRI in cancer diagnosis (5 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Breast Lesions and Carcinomas (5 papers), Breast Cancer Treatment Studies (3 papers), Global Cancer Incidence and Screening (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (33 citations), Radiology, Nuclear Medicine and Imaging (219 citations), Endocrinology, Diabetes and Metabolism (93 citations), Artificial Intelligence (136 citations) and Pathology and Forensic Medicine (51 citations). Mi-ri Kwon has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jung Hee Shin, Soo Yeon Hahn, Boo‐Kyung Han, Ji Soo Choi, Eun Young Ko, Eun Sook Ko, Ko Woon Park, Hwan-ho Cho, Hyunjin Park and Jung Min Bae. Their work appears in journals such as Scientific Reports, Korean Journal of Radiology, Radiology, International Journal of Radiation Oncology*Biology*Physics and Journal of Clinical Medicine.
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.