Jun-Su Jang
Impact in
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- Traditional Chinese Medicine Studies
- Acupuncture Treatment Research Studies
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- Face recognition and analysis
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
Papers in
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- Medical Imaging and Analysis 11
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- Traditional Chinese Medicine Studies 13
- Acupuncture Treatment Research Studies 3
- Co-authors
- Jong-Hwan Kim (7 shared papers)Jong Yeol Kim (10 shared papers)Boncho Ku (10 shared papers)Kuk-Hyun Han (3 shared papers)Jun‐Hyeong Do (6 shared papers)Takeo Kanade (1 shared paper)Eun-Su Jang (3 shared papers)Keun Ho Kim (7 shared papers)
- Journals
- Evidence-based Complementary and Alternative Medicine (5 papers)BMC Complementary and Alternative Medicine (2 papers)Artificial Intelligence in Medicine (1 paper)Medicine (1 paper)Sensors (1 paper)
- Partner nations
- South KoreaThailandUnited States
In The Last Decade
Jun-Su Jang
38 papers receiving 378 citations
Peers
Comparison fields: 5 of 90
- Complementary and alternative medicine 130
- Computer Vision and Pattern Recognition 97
- Artificial Intelligence 81
- Health Information Management 8
- Pharmacology 26
Countries citing papers authored by Jun-Su Jang
This map shows the geographic impact of Jun-Su 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 Jun-Su Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Su Jang more than expected).
Fields of papers citing papers by Jun-Su Jang
This network shows the impact of papers produced by Jun-Su 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 Jun-Su Jang. The network helps show where Jun-Su Jang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Su 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 75 | |
| 2 | 2008 | 37 | |
| 3 | 2005 | 37 | |
| 4 | 2003 | 32 | |
| 5 | 2008 | 30 | |
| 6 | 2013 | 28 | |
| 7 | 2023 | 20 | |
| 8 | 2013 | 15 | |
| 9 | 2004 | 15 | |
| 10 | 2013 | 12 | |
| 11 | 2013 | 11 | |
| 12 | 2012 | 10 | |
| 13 | 2012 | 10 | |
| 14 | 2013 | 7 | |
| 15 | 2013 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2013 | 6 | |
| 18 | 2006 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2017 | 5 |
About Jun-Su Jang
Jun-Su Jang is a scholar working on Biomedical Engineering, Complementary and alternative medicine, Computer Vision and Pattern Recognition, Pathology and Forensic Medicine and Artificial Intelligence, having authored 41 papers that have together received 418 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (13 papers), Medical Imaging and Analysis (11 papers), Spine and Intervertebral Disc Pathology (8 papers), Face and Expression Recognition (7 papers), Face recognition and analysis (6 papers), Acupuncture Treatment Research Studies (3 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Membrane Separation Technologies (2 papers). The work is most often cited by research in Complementary and alternative medicine (130 citations), Computer Vision and Pattern Recognition (97 citations), Artificial Intelligence (81 citations), Health Information Management (8 citations) and Pharmacology (26 citations). Jun-Su Jang has collaborated with scholars based in South Korea, Thailand and United States. Frequent co-authors include Jong-Hwan Kim, Jong Yeol Kim, Boncho Ku, Kuk-Hyun Han, Jun‐Hyeong Do, Takeo Kanade, Eun-Su Jang, Keun Ho Kim, Bum Ju Lee and Young‐Su Kim. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, BMC Complementary and Alternative Medicine, Artificial Intelligence in Medicine, Medicine and Sensors.
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.