Yohan Jun
Impact in
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- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Health Informatics top 10%
Papers in
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- Advanced MRI Techniques and Applications 13
- Medical Imaging Techniques and Applications 6
- Advanced Neuroimaging Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 3
- COVID-19 diagnosis using AI 2
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- Neuroscience and Neural Engineering 1
- Co-authors
- Dosik Hwang (13 shared papers)Taejoon Eo (10 shared papers)Taeseong Kim (5 shared papers)Ho‐Joon Lee (2 shared papers)Jinseong Jang (1 shared paper)Hyungseob Shin (9 shared papers)Sung Soo Ahn (4 shared papers)Yae Won Park (3 shared papers)
- Journals
- Magnetic Resonance in Medicine (6 papers)European Radiology (3 papers)Medical Image Analysis (2 papers)Nature Communications (1 paper)Investigative Radiology (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Yohan Jun
19 papers receiving 598 citations
Yohan Jun's Hit Papers
Peers
Comparison fields: 5 of 54
- Radiology, Nuclear Medicine and Imaging 419
- Health Informatics 19
- Neurology 33
- Computational Mechanics 78
- Computer Vision and Pattern Recognition 74
Countries citing papers authored by Yohan Jun
This map shows the geographic impact of Yohan Jun'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 Yohan Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yohan Jun more than expected).
Fields of papers citing papers by Yohan Jun
This network shows the impact of papers produced by Yohan Jun. 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 Yohan Jun. The network helps show where Yohan Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yohan Jun, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 312 | |
| 2 | 2021 | 43 | |
| 3 | 2021 | 36 | |
| 4 | 2018 | 35 | |
| 5 | 2020 | 30 | |
| 6 | 2021 | 29 | |
| 7 | 2019 | 24 | |
| 8 | 2023 | 22 | |
| 9 | 2019 | 21 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 9 | |
| 12 | 2024 | 9 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2020 | 5 | |
| 16 | 2025 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Yohan Jun
Yohan Jun is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 23 papers that have together received 605 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (13 papers), Medical Imaging Techniques and Applications (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (2 papers), Neuroscience and Neural Engineering (1 paper), Advanced Radiotherapy Techniques (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (419 citations), Health Informatics (19 citations), Neurology (33 citations), Computational Mechanics (78 citations) and Computer Vision and Pattern Recognition (74 citations). Yohan Jun has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Dosik Hwang, Taejoon Eo, Taeseong Kim, Ho‐Joon Lee, Jinseong Jang, Hyungseob Shin, Sung Soo Ahn, Yae Won Park, Kyunghwa Han and Chansik An. Their work appears in journals such as Magnetic Resonance in Medicine, European Radiology, Medical Image Analysis, Nature Communications and Investigative 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.