Miso Jang
Impact in
- Health Informatics top 5%
- Aerospace Engineering top 5%
- High-Temperature Coating Behaviors
Papers in
-
- COVID-19 diagnosis using AI 4
- Radiomics and Machine Learning in Medical Imaging 4
-
- Artificial Intelligence in Healthcare and Education 4
- Co-authors
- Hyoung Seop Kim (2 shared papers)Soo‐Hyun Joo (2 shared papers)Hidemi Kato (2 shared papers)Jongun Moon (2 shared papers)Che‐Wei Tsai (1 shared paper)J.W. Yeh (1 shared paper)Namkug Kim (15 shared papers)Soon‐Jik Hong (1 shared paper)
- Journals
- Scientific Reports (3 papers)Korean Journal of Radiology (2 papers)BMC Endocrine Disorders (1 paper)Journal of Alloys and Compounds (1 paper)Materials Science and Engineering A (1 paper)
- Partner nations
- South KoreaJapanEthiopia
In The Last Decade
Miso Jang
22 papers receiving 657 citations
Peers
Comparison fields: 5 of 80
- Health Informatics 27
- Aerospace Engineering 311
- Mechanical Engineering 392
- Orthopedics and Sports Medicine 55
- Radiology, Nuclear Medicine and Imaging 64
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 209 | |
| 2 | 2016 | 187 | |
| 3 | 2020 | 65 | |
| 4 | 2018 | 32 | |
| 5 | 2022 | 25 | |
| 6 | 2023 | 23 | |
| 7 | 2020 | 19 | |
| 8 | 2023 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2006 | 14 | |
| 11 | 2023 | 11 | |
| 12 | 2018 | 11 | |
| 13 | 2021 | 9 | |
| 14 | 2017 | 9 | |
| 15 | 2024 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2023 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2024 | 2 |
About Miso Jang
Miso Jang is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Orthopedics and Sports Medicine, Computer Vision and Pattern Recognition and Health, Toxicology and Mutagenesis, having authored 24 papers that have together received 668 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (4 papers), COVID-19 diagnosis using AI (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), High-Temperature Coating Behaviors (2 papers), Climate Change and Health Impacts (2 papers), Air Quality and Health Impacts (2 papers) and High Entropy Alloys Studies (2 papers). The work is most often cited by research in Health Informatics (27 citations), Aerospace Engineering (311 citations), Mechanical Engineering (392 citations), Orthopedics and Sports Medicine (55 citations) and Radiology, Nuclear Medicine and Imaging (64 citations). Miso Jang has collaborated with scholars based in South Korea, Japan and Ethiopia. Frequent co-authors include Hyoung Seop Kim, Soo‐Hyun Joo, Hidemi Kato, Jongun Moon, Che‐Wei Tsai, J.W. Yeh, Namkug Kim, Soon‐Jik Hong, Mingyu Kim and Jung‐Min Koh. Their work appears in journals such as Scientific Reports, Korean Journal of Radiology, BMC Endocrine Disorders, Journal of Alloys and Compounds and Materials Science and Engineering A.
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.