Taehoon Ko
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Topic Modeling 3
- Anomaly Detection Techniques and Applications 2
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- Artificial Intelligence in Healthcare 3
- Electronic Health Records Systems 2
- Co-authors
- Sae Won Choi (7 shared papers)Kyung Hwan Kim (4 shared papers)Sungzoon Cho (3 shared papers)Ye Seul Bae (8 shared papers)Ki Jeong Hong (1 shared paper)Myung Hwan Yun (2 shared papers)Ilsun Rhiu (2 shared papers)Wonjoon Kim (1 shared paper)
- Journals
- Applied Sciences (5 papers)Journal of Medical Internet Research (3 papers)Scientific Reports (3 papers)Ophthalmology (1 paper)Fertility and Sterility (1 paper)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Taehoon Ko
37 papers receiving 625 citations
Peers
Comparison fields: 5 of 109
- Health Informatics 33
- Health Information Management 56
- Ophthalmology 55
- Radiology, Nuclear Medicine and Imaging 140
- Emergency Medicine 35
Countries citing papers authored by Taehoon Ko
This map shows the geographic impact of Taehoon Ko'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 Taehoon Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taehoon Ko more than expected).
Fields of papers citing papers by Taehoon Ko
This network shows the impact of papers produced by Taehoon Ko. 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 Taehoon Ko. The network helps show where Taehoon Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Taehoon Ko, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 72 | |
| 2 | 2020 | 64 | |
| 3 | 2019 | 58 | |
| 4 | 2018 | 51 | |
| 5 | 2017 | 48 | |
| 6 | 2015 | 41 | |
| 7 | 2020 | 41 | |
| 8 | 2020 | 39 | |
| 9 | 2020 | 33 | |
| 10 | 2022 | 31 | |
| 11 | 2021 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2022 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2020 | 11 | |
| 17 | 2021 | 9 | |
| 18 | 2023 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2023 | 7 |
About Taehoon Ko
Taehoon Ko is a scholar working on Artificial Intelligence, Health Information Management, Information Systems, Pediatrics, Perinatology and Child Health and Sociology and Political Science, having authored 43 papers that have together received 642 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (3 papers), Topic Modeling (3 papers), Assisted Reproductive Technology and Twin Pregnancy (3 papers), Retinal Imaging and Analysis (2 papers), Recycled Aggregate Concrete Performance (2 papers), Anomaly Detection Techniques and Applications (2 papers), Electronic Health Records Systems (2 papers) and Recycling and utilization of industrial and municipal waste in materials production (2 papers). The work is most often cited by research in Health Informatics (33 citations), Health Information Management (56 citations), Ophthalmology (55 citations), Radiology, Nuclear Medicine and Imaging (140 citations) and Emergency Medicine (35 citations). Taehoon Ko has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Sae Won Choi, Kyung Hwan Kim, Sungzoon Cho, Ye Seul Bae, Ki Jeong Hong, Myung Hwan Yun, Ilsun Rhiu, Wonjoon Kim, Hyuk‐Soo Han and Woo Cheol Shin. Their work appears in journals such as Applied Sciences, Journal of Medical Internet Research, Scientific Reports, Ophthalmology and Fertility and Sterility.
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.