Joo Hee
Impact in
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Ultrasound Imaging and Elastography
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- Breast Lesions and Carcinomas
Papers in
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- MRI in cancer diagnosis 57
- Radiomics and Machine Learning in Medical Imaging 39
- Medical Imaging Techniques and Applications 15
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- Breast Lesions and Carcinomas 64
- Co-authors
- Hak Hee Kim (93 shared papers)Hee Jung Shin (91 shared papers)Eun Young Chae (76 shared papers)Woo Jung Choi (74 shared papers)Woo Kyung Moon (29 shared papers)Nariya Cho (23 shared papers)Sun Mi Kim (15 shared papers)Jeong Seon Park (6 shared papers)
- Journals
- Radiology (14 papers)Acta Radiologica (14 papers)American Journal of Roentgenology (11 papers)Korean Journal of Radiology (9 papers)ULTRASONOGRAPHY (6 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Joo Hee
129 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 92
- Radiology, Nuclear Medicine and Imaging 1.5k
- Pathology and Forensic Medicine 899
- Cancer Research 708
- Artificial Intelligence 721
- Pulmonary and Respiratory Medicine 579
Countries citing papers authored by Joo Hee
This map shows the geographic impact of Joo Hee'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 Joo Hee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joo Hee more than expected).
Fields of papers citing papers by Joo Hee
This network shows the impact of papers produced by Joo Hee. 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 Joo Hee. The network helps show where Joo Hee may publish in the future.
Co-authors
The 25 scholars most cited alongside Joo Hee, 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 126 | |
| 2 | 2008 | 103 | |
| 3 | 2011 | 71 | |
| 4 | 2015 | 69 | |
| 5 | 2007 | 60 | |
| 6 | 2005 | 58 | |
| 7 | 2013 | 56 | |
| 8 | 2012 | 55 | |
| 9 | 2007 | 53 | |
| 10 | 2006 | 51 | |
| 11 | 2017 | 50 | |
| 12 | 2013 | 49 | |
| 13 | 2005 | 45 | |
| 14 | 2018 | 45 | |
| 15 | 2016 | 41 | |
| 16 | 2016 | 41 | |
| 17 | 2017 | 39 | |
| 18 | 2014 | 37 | |
| 19 | 2014 | 37 | |
| 20 | 2008 | 36 |
About Joo Hee
Joo Hee is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Cancer Research, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 138 papers that have together received 2.5k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (64 papers), MRI in cancer diagnosis (57 papers), Breast Cancer Treatment Studies (44 papers), Radiomics and Machine Learning in Medical Imaging (39 papers), AI in cancer detection (36 papers), Digital Radiography and Breast Imaging (29 papers), Medical Imaging Techniques and Applications (15 papers) and Global Cancer Incidence and Screening (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.5k citations), Pathology and Forensic Medicine (899 citations), Cancer Research (708 citations), Artificial Intelligence (721 citations) and Pulmonary and Respiratory Medicine (579 citations). Joo Hee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Hak Hee Kim, Hee Jung Shin, Eun Young Chae, Woo Jung Choi, Woo Kyung Moon, Nariya Cho, Sun Mi Kim, Jeong Seon Park, Hyunji Kim and Seung Ja Kim. Their work appears in journals such as Radiology, Acta Radiologica, American Journal of Roentgenology, Korean Journal of Radiology and ULTRASONOGRAPHY.
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.