Borim Ryu
Impact in
-
- Electronic Health Records Systems
- Artificial Intelligence in Healthcare
- Health Informatics top 10%
Papers in
-
- Machine Learning in Healthcare 9
- Topic Modeling 2
-
- Artificial Intelligence in Healthcare 6
- 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)Keehyuck Lee (3 shared papers)
- Journals
- Scientific Reports (5 papers)Journal of Medical Internet Research (4 papers)Information Sciences (1 paper)Methods of Information in Medicine (1 paper)JMIR mhealth and uhealth (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Borim Ryu
23 papers receiving 318 citations
Peers
Comparison fields: 5 of 83
- Health Information Management 95
- Health Informatics 19
- Applied Psychology 25
- Medical Terminology 1
- General Health Professions 98
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 | 60 | |
| 2 | 2018 | 52 | |
| 3 | 2023 | 21 | |
| 4 | 2018 | 21 | |
| 5 | 2015 | 21 | |
| 6 | 2020 | 20 | |
| 7 | 2012 | 19 | |
| 8 | 2020 | 15 | |
| 9 | 2018 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2016 | 11 | |
| 12 | 2020 | 8 | |
| 13 | 2000 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2010 | 5 | |
| 19 | 2023 | 3 | |
| 20 | 2012 | 2 |
About Borim Ryu
Borim Ryu is a scholar working on Artificial Intelligence, Health Information Management, Molecular Biology, Public Health, Environmental and Occupational Health and General Health Professions, having authored 27 papers that have together received 323 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (9 papers), Artificial Intelligence in Healthcare (6 papers), Biomedical Text Mining and Ontologies (5 papers), Mobile Health and mHealth Applications (4 papers), COVID-19 diagnosis using AI (3 papers), Obstructive Sleep Apnea Research (3 papers), Information Retrieval and Search Behavior (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Health Information Management (95 citations), Health Informatics (19 citations), Applied Psychology (25 citations), Medical Terminology (1 citation) and General Health Professions (98 citations). Borim Ryu has collaborated with scholars based in South Korea and United States. Frequent co-authors include Sooyoung Yoo, Jeong‐Whun Kim, Eunyoung Heo, Se Young Jung, Joongseek Lee, Yoojung Kim, Hee Hwang, Keehyuck Lee, Jinwook Choi and Seok Kim. Their work appears in journals such as Scientific Reports, Journal of Medical Internet Research, Information Sciences, Methods of Information in Medicine and JMIR mhealth and uhealth.
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.