Young Jun Kim
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Corneal surgery and disorders 3
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- Ocean Waves and Remote Sensing 3
- Oceanographic and Atmospheric Processes 3
- Co-authors
- Jae Hoon Lee (5 shared papers)Daehyeon Han (4 shared papers)Jungho Im (4 shared papers)Jinseok Lee (1 shared paper)Kyung Won Kim (1 shared paper)Seung‐Ji Kang (1 shared paper)Hoon Ko (1 shared paper)Wu Seong Kang (1 shared paper)
- Journals
- Journal of Korean Medical Science (2 papers)Scientific Reports (2 papers)Ocean Engineering (1 paper)Cornea (1 paper)BioMed Research International (1 paper)
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Young Jun Kim
38 papers receiving 573 citations
Peers
Comparison fields: 5 of 98
- Health Informatics 51
- Radiology, Nuclear Medicine and Imaging 213
- Atmospheric Science 86
- Pulmonary and Respiratory Medicine 92
- Artificial Intelligence 108
Countries citing papers authored by Young Jun Kim
This map shows the geographic impact of Young Jun 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 Young Jun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Jun Kim more than expected).
Fields of papers citing papers by Young Jun Kim
This network shows the impact of papers produced by Young Jun 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 Young Jun Kim. The network helps show where Young Jun Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Young Jun 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 213 | |
| 2 | 2020 | 81 | |
| 3 | 2003 | 45 | |
| 4 | 2015 | 39 | |
| 5 | 2012 | 27 | |
| 6 | Circuit resistance exercise improves glycemic control and adipokines in females with type 2 diabetes mellitus. | 2009 | 21 |
| 7 | 2017 | 18 | |
| 8 | 2020 | 15 | |
| 9 | 2015 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2015 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2024 | 10 | |
| 14 | 2014 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2010 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2015 | 4 | |
| 20 | 2017 | 4 |
About Young Jun Kim
Young Jun Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Oceanography, Ophthalmology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 589 indexed citations. Recurring topics across this work include Ocean Waves and Remote Sensing (3 papers), Oceanographic and Atmospheric Processes (3 papers), Climate change and permafrost (3 papers), Corneal surgery and disorders (3 papers), Arctic and Antarctic ice dynamics (3 papers), Gallbladder and Bile Duct Disorders (2 papers), Viral Infections and Vectors (2 papers) and Musculoskeletal synovial abnormalities and treatments (2 papers). The work is most often cited by research in Health Informatics (51 citations), Radiology, Nuclear Medicine and Imaging (213 citations), Atmospheric Science (86 citations), Pulmonary and Respiratory Medicine (92 citations) and Artificial Intelligence (108 citations). Young Jun Kim has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Jae Hoon Lee, Daehyeon Han, Jungho Im, Jinseok Lee, Kyung Won Kim, Seung‐Ji Kang, Hoon Ko, Wu Seong Kang, Heewon Chung and Youngbin Shin. Their work appears in journals such as Journal of Korean Medical Science, Scientific Reports, Ocean Engineering, Cornea and BioMed Research International.
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.