Miso Jang
Impact in
- Health Informatics top 5%
- Aerospace Engineering top 5%
- High-Temperature Coating Behaviors
Papers in
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- Artificial Intelligence in Healthcare and Education 4
-
- COVID-19 diagnosis using AI 4
- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Jongun Moon (2 shared papers)Soo‐Hyun Joo (2 shared papers)Hidemi Kato (2 shared papers)Hyoung Seop Kim (2 shared papers)Che‐Wei Tsai (1 shared paper)J.W. Yeh (1 shared paper)Namkug Kim (14 shared papers)Soon‐Jik Hong (1 shared paper)
- Journals
- Scientific Reports (2 papers)Journal of Imaging Informatics in Medicine (2 papers)Korean Journal of Radiology (2 papers)Archives of Osteoporosis (1 paper)Journal of Alloys and Compounds (1 paper)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Miso Jang
22 papers receiving 677 citations
Peers
Comparison fields: 5 of 81
- Health Informatics 26
- Aerospace Engineering 314
- Mechanical Engineering 405
- Orthopedics and Sports Medicine 64
- Oral Surgery 16
Countries citing papers authored by Miso Jang
This map shows the geographic impact of Miso Jang'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 Miso Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miso Jang more than expected).
Fields of papers citing papers by Miso Jang
This network shows the impact of papers produced by Miso Jang. 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 Miso Jang. The network helps show where Miso Jang may publish in the future.
Co-authors
The 25 scholars most cited alongside Miso Jang, 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 | 2017 | 219 | |
| 2 | 2016 | 192 | |
| 3 | 2020 | 79 | |
| 4 | 2018 | 35 | |
| 5 | 2023 | 26 | |
| 6 | 2020 | 20 | |
| 7 | 2023 | 17 | |
| 8 | 2006 | 16 | |
| 9 | 2018 | 15 | |
| 10 | 2023 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2017 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2018 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2023 | 3 | |
| 17 | 2018 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2019 | 1 |
About Miso Jang
Miso Jang is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine, Health, Toxicology and Mutagenesis and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 692 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Bone health and osteoporosis research (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), High Entropy Alloys Studies (2 papers), High-Temperature Coating Behaviors (2 papers), Air Quality and Health Impacts (2 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Health Informatics (26 citations), Aerospace Engineering (314 citations), Mechanical Engineering (405 citations), Orthopedics and Sports Medicine (64 citations) and Oral Surgery (16 citations). Miso Jang has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Jongun Moon, Soo‐Hyun Joo, Hidemi Kato, Hyoung Seop Kim, Che‐Wei Tsai, J.W. Yeh, Namkug Kim, Soon‐Jik Hong, Sung Jin Bae and Jung‐Min Koh. Their work appears in journals such as Scientific Reports, Journal of Imaging Informatics in Medicine, Korean Journal of Radiology, Archives of Osteoporosis and Journal of Alloys and Compounds.
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.