A Jung Chu
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- MRI in cancer diagnosis 8
- Radiomics and Machine Learning in Medical Imaging 7
- Medical Imaging Techniques and Applications 5
- Ultrasound Imaging and Elastography 4
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas 7
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- Breast Cancer Treatment Studies 7
- Artificial Intelligence top 10%
- AI in cancer detection 6
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- Digital Radiography and Breast Imaging 6
- Co-authors
- Nariya ChoWoo Kyung MoonSu Hyun LeeJung Min ChangMin Sun BaeWon Hwa KimHye Ryoung KooMirinae Seo
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (4 papers)Radiology (5 papers)
- Partner nations
- South KoreaEthiopiaTaiwan
In The Last Decade
A Jung Chu
30 papers receiving 452 citations
Peers
Comparison fields: 5 of 56
- Radiology, Nuclear Medicine and Imaging 251
- Pathology and Forensic Medicine 115
- Cancer Research 84
- Endocrine and Autonomic Systems 37
- Artificial Intelligence 108
Countries citing papers authored by A Jung Chu
This map shows the geographic impact of A Jung Chu'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 A Jung Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Jung Chu more than expected).
Fields of papers citing papers by A Jung Chu
This network shows the impact of papers produced by A Jung Chu. 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 A Jung Chu. The network helps show where A Jung Chu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A Jung Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 14 | |
| 4 | 2021 | 6 | |
| 5 | 2020 | 0 | |
| 6 | 2019 | 4 | |
| 7 | 2018 | 5 | |
| 8 | 2017 | 1 | |
| 9 | 2017 | 29 | |
| 10 | 2017 | 46 | |
| 11 | 2017 | 9 | |
| 12 | 2017 | 21 | |
| 13 | 2016 | 13 | |
| 14 | 2015 | 13 | |
| 15 | 2015 | 19 | |
| 16 | 2014 | 97 | |
| 17 | 2014 | 11 | |
| 18 | 2014 | 8 | |
| 19 | 2004 | 49 | |
| 20 | 2003 | 11 |
About A Jung Chu
A Jung Chu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research, having authored 32 papers that have together received 460 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Breast Cancer Treatment Studies (7 papers), Breast Lesions and Carcinomas (7 papers), AI in cancer detection (6 papers), Digital Radiography and Breast Imaging (6 papers), Medical Imaging Techniques and Applications (5 papers) and Ultrasound Imaging and Elastography (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (251 citations), Pathology and Forensic Medicine (115 citations) and Cancer Research (84 citations). A Jung Chu has collaborated with scholars based in South Korea, Ethiopia and Taiwan. Frequent co-authors include Nariya Cho, Woo Kyung Moon, Su Hyun Lee, Jung Min Chang, Min Sun Bae, Won Hwa Kim, Hye Ryoung Koo, Mirinae Seo, Hye Mi Gweon and Lee‐Ming Chuang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.
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.