Hak Hee Kim
Impact in
- Health Informatics top 1%
- Cancer Research top 1%
- Breast Cancer Treatment Studies
Papers in
-
- MRI in cancer diagnosis 52
- Radiomics and Machine Learning in Medical Imaging 39
- Medical Imaging Techniques and Applications 28
-
- Breast Lesions and Carcinomas 81
- Co-authors
- Hee Jung Shin (105 shared papers)Joo Hee (93 shared papers)Eun Young Chae (89 shared papers)Woo Jung Choi (75 shared papers)Gyungyub Gong (37 shared papers)Sung‐Bae Kim (18 shared papers)Soonmoon Yoo (8 shared papers)Mi-Jung Kim (3 shared papers)
- Journals
- American Journal of Roentgenology (19 papers)Acta Radiologica (10 papers)Radiology (9 papers)ULTRASONOGRAPHY (7 papers)Scientific Reports (7 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Hak Hee Kim
195 papers receiving 4.2k citations
Hak Hee Kim's Hit Papers
Peers
Comparison fields: 5 of 136
- Health Informatics 122
- Cancer Research 1.2k
- Radiology, Nuclear Medicine and Imaging 1.7k
- Pathology and Forensic Medicine 1.1k
- Oncology 920
Countries citing papers authored by Hak Hee Kim
This map shows the geographic impact of Hak Hee Kim'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 Hak Hee Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hak Hee Kim more than expected).
Fields of papers citing papers by Hak Hee Kim
This network shows the impact of papers produced by Hak Hee Kim. 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 Hak Hee Kim. The network helps show where Hak Hee Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Hak Hee Kim, 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 208 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study Hit paper breakdown → | 2020 | 309 |
| 2 | 2006 | 293 | |
| 3 | 2013 | 143 | |
| 4 | 2017 | 118 | |
| 5 | 2001 | 108 | |
| 6 | 2003 | 103 | |
| 7 | 2008 | 79 | |
| 8 | 2011 | 71 | |
| 9 | 2015 | 69 | |
| 10 | 2013 | 66 | |
| 11 | 2011 | 62 | |
| 12 | 2013 | 56 | |
| 13 | 2012 | 55 | |
| 14 | 2011 | 53 | |
| 15 | 2019 | 52 | |
| 16 | 2008 | 51 | |
| 17 | 2008 | 50 | |
| 18 | 2017 | 50 | |
| 19 | 2013 | 49 | |
| 20 | 2009 | 46 |
About Hak Hee Kim
Hak Hee Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Cancer Research, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 208 papers that have together received 4.3k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (81 papers), Breast Cancer Treatment Studies (63 papers), MRI in cancer diagnosis (52 papers), Digital Radiography and Breast Imaging (40 papers), Radiomics and Machine Learning in Medical Imaging (39 papers), AI in cancer detection (38 papers), Medical Imaging Techniques and Applications (28 papers) and Cancer and Skin Lesions (16 papers). The work is most often cited by research in Health Informatics (122 citations), Cancer Research (1.2k citations), Radiology, Nuclear Medicine and Imaging (1.7k citations), Pathology and Forensic Medicine (1.1k citations) and Oncology (920 citations). Hak Hee Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Hee Jung Shin, Joo Hee, Eun Young Chae, Woo Jung Choi, Gyungyub Gong, Sung‐Bae Kim, Soonmoon Yoo, Mi-Jung Kim, Boo‐Kyung Han and Jae Y. Ro. Their work appears in journals such as American Journal of Roentgenology, Acta Radiologica, Radiology, ULTRASONOGRAPHY and Scientific Reports.
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.