Yedaun Lee
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
-
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 7
- MRI in cancer diagnosis 6
- Surgery 10
- Intestinal and Peritoneal Adhesions 3
- Co-authors
- Seung Soo Lee (12 shared papers)Bo-Kyeong Kang (6 shared papers)So Yeon Kim (7 shared papers)Seong Ho Park (7 shared papers)Seung Ho Kim (16 shared papers)Yu Sub Sung (6 shared papers)Jung Hee Son (9 shared papers)Jung-Hee Yoon (6 shared papers)
- Journals
- Radiology (5 papers)European Radiology (5 papers)Acta Radiologica (4 papers)European Journal of Radiology (3 papers)Journal of Ultrasound in Medicine (2 papers)
- Partner nations
- South KoreaCanadaGermany
In The Last Decade
Yedaun Lee
45 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 71
- Hepatology 186
- Radiology, Nuclear Medicine and Imaging 390
- Health Informatics 17
- Epidemiology 225
- Genetics 165
Countries citing papers authored by Yedaun Lee
This map shows the geographic impact of Yedaun 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 Yedaun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yedaun Lee more than expected).
Fields of papers citing papers by Yedaun Lee
This network shows the impact of papers produced by Yedaun 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 Yedaun Lee. The network helps show where Yedaun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Yedaun 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 169 | |
| 2 | 2015 | 121 | |
| 3 | 2014 | 100 | |
| 4 | 2013 | 80 | |
| 5 | 2014 | 73 | |
| 6 | 2009 | 60 | |
| 7 | 2016 | 59 | |
| 8 | 2020 | 52 | |
| 9 | 2020 | 45 | |
| 10 | 2019 | 38 | |
| 11 | 2014 | 31 | |
| 12 | 2016 | 27 | |
| 13 | 2017 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2020 | 20 | |
| 16 | 2010 | 19 | |
| 17 | 2021 | 16 | |
| 18 | 2015 | 16 | |
| 19 | 2023 | 16 | |
| 20 | 2015 | 15 |
About Yedaun Lee
Yedaun Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Oncology, Epidemiology and Hepatology, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Colorectal Cancer Surgical Treatments (4 papers), Intestinal and Peritoneal Adhesions (3 papers), Breast Lesions and Carcinomas (3 papers) and IgG4-Related and Inflammatory Diseases (2 papers). The work is most often cited by research in Hepatology (186 citations), Radiology, Nuclear Medicine and Imaging (390 citations), Health Informatics (17 citations), Epidemiology (225 citations) and Genetics (165 citations). Yedaun Lee has collaborated with scholars based in South Korea, Canada and Germany. Frequent co-authors include Seung Soo Lee, Bo-Kyeong Kang, So Yeon Kim, Seong Ho Park, Seung Ho Kim, Yu Sub Sung, Jung Hee Son, Jung-Hee Yoon, Ho Sung Kim and Eun Sil Yu. Their work appears in journals such as Radiology, European Radiology, Acta Radiologica, European Journal of Radiology and Journal of Ultrasound in 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.