Jong Hak Moon
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
- COVID-19 diagnosis using AI
Papers in
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- Topic Modeling 2
- Domain Adaptation and Few-Shot Learning 1
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- Multimodal Machine Learning Applications 1
- Co-authors
- Edward Choi (2 shared papers)Young‐Hak Kim (1 shared paper)Myung Jin Chung (2 shared papers)Baek Hwan Cho (2 shared papers)Jin Ho Choi (1 shared paper)Kyu‐Sung Lee (1 shared paper)Kyung‐Ah Park (1 shared paper)Joon Kyo Chung (1 shared paper)
- Journals
- IEEE Journal of Biomedical and Health Informatics (1 paper)BMC Ophthalmology (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- South Korea
In The Last Decade
Jong Hak Moon
5 papers receiving 267 citations
Peers
Comparison fields: 5 of 52
- Health Informatics 32
- Radiology, Nuclear Medicine and Imaging 103
- Computer Vision and Pattern Recognition 76
- Artificial Intelligence 116
- Health Information Management 9
Countries citing papers authored by Jong Hak Moon
This map shows the geographic impact of Jong Hak Moon'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 Jong Hak Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong Hak Moon more than expected).
Fields of papers citing papers by Jong Hak Moon
This network shows the impact of papers produced by Jong Hak Moon. 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 Jong Hak Moon. The network helps show where Jong Hak Moon may publish in the future.
Co-authors
The 17 scholars most cited alongside Jong Hak Moon, 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 | 2022 | 158 | |
| 2 | 2020 | 76 | |
| 3 | 2020 | 19 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 3 |
About Jong Hak Moon
Jong Hak Moon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 5 papers that have together received 270 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Multimodal Machine Learning Applications (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Health Informatics (32 citations), Radiology, Nuclear Medicine and Imaging (103 citations), Computer Vision and Pattern Recognition (76 citations), Artificial Intelligence (116 citations) and Health Information Management (9 citations). Jong Hak Moon has collaborated with scholars based in South Korea. Frequent co-authors include Edward Choi, Young‐Hak Kim, Myung Jin Chung, Baek Hwan Cho, Jin Ho Choi, Kyu‐Sung Lee, Kyung‐Ah Park, Joon Kyo Chung, Da Young Lee and Sei Yeul Oh. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, BMC Ophthalmology and Computer Methods and Programs in Biomedicine.
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.