Borim Ryu
Impact in
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- Artificial Intelligence in Healthcare
- Electronic Health Records Systems
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Machine Learning in Healthcare 5
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- Artificial Intelligence in Healthcare 4
- Co-authors
- Sooyoung Yoo (15 shared papers)Jeong‐Whun Kim (8 shared papers)Eunyoung Heo (5 shared papers)Se Young Jung (3 shared papers)Joongseek Lee (3 shared papers)Yoojung Kim (3 shared papers)Hee Hwang (4 shared papers)Jinwook Choi (6 shared papers)
- Journals
- Scientific Reports (5 papers)Journal of Medical Internet Research (4 papers)Journal of the American Medical Informatics Association (1 paper)JMIR mhealth and uhealth (1 paper)International Journal of Medical Informatics (1 paper)
- Partner nations
- South KoreaEthiopiaPuerto Rico
In The Last Decade
Borim Ryu
25 papers receiving 341 citations
Peers
Comparison fields: 5 of 76
- Health Information Management 63
- Health Informatics 13
- General Health Professions 57
- Applied Psychology 11
- Artificial Intelligence 63
Countries citing papers authored by Borim Ryu
This map shows the geographic impact of Borim Ryu'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 Borim Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Borim Ryu more than expected).
Fields of papers citing papers by Borim Ryu
This network shows the impact of papers produced by Borim Ryu. 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 Borim Ryu. The network helps show where Borim Ryu may publish in the future.
Co-authors
The 25 scholars most cited alongside Borim Ryu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 62 | |
| 2 | 2018 | 55 | |
| 3 | 2015 | 23 | |
| 4 | 2023 | 21 | |
| 5 | 2018 | 21 | |
| 6 | 2020 | 20 | |
| 7 | 2012 | 19 | |
| 8 | 2020 | 17 | |
| 9 | 2021 | 14 | |
| 10 | 2018 | 13 | |
| 11 | 2016 | 11 | |
| 12 | 2017 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2000 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2010 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2012 | 2 |
About Borim Ryu
Borim Ryu is a scholar working on Artificial Intelligence, Health Information Management, Physiology, Molecular Biology and General Health Professions, having authored 27 papers that have together received 346 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Artificial Intelligence in Healthcare (4 papers), Obstructive Sleep Apnea Research (3 papers), COVID-19 diagnosis using AI (3 papers), Biomedical Text Mining and Ontologies (3 papers), Mobile Health and mHealth Applications (2 papers), Wireless Communication Networks Research (1 paper) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Health Information Management (63 citations), Health Informatics (13 citations), General Health Professions (57 citations), Applied Psychology (11 citations) and Artificial Intelligence (63 citations). Borim Ryu has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Sooyoung Yoo, Jeong‐Whun Kim, Eunyoung Heo, Se Young Jung, Joongseek Lee, Yoojung Kim, Hee Hwang, Jinwook Choi, Keehyuck Lee and Seok Kim. Their work appears in journals such as Scientific Reports, Journal of Medical Internet Research, Journal of the American Medical Informatics Association, JMIR mhealth and uhealth and International Journal of Medical Informatics.
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.