Hoon Ko
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Non-Invasive Vital Sign Monitoring 12
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- Heart Rate Variability and Autonomic Control 9
- ECG Monitoring and Analysis 3
- Co-authors
- Jinseok Lee (23 shared papers)Heewon Chung (16 shared papers)Hooseok Lee (13 shared papers)Kyung Won Kim (6 shared papers)Wu Seong Kang (5 shared papers)Jae Hoon Lee (1 shared paper)Seung‐Ji Kang (1 shared paper)Young Jun Kim (1 shared paper)
- Journals
- Journal of Medical Internet Research (5 papers)Scientific Reports (2 papers)IEEE Sensors Journal (2 papers)PLoS ONE (2 papers)SpringerPlus (1 paper)
- Partner nations
- South KoreaUnited StatesItaly
In The Last Decade
Hoon Ko
23 papers receiving 596 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 84
- Radiology, Nuclear Medicine and Imaging 329
- Cardiology and Cardiovascular Medicine 141
- Health Information Management 25
- Artificial Intelligence 172
Countries citing papers authored by Hoon Ko
This map shows the geographic impact of Hoon 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 Hoon Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hoon Ko more than expected).
Fields of papers citing papers by Hoon Ko
This network shows the impact of papers produced by Hoon 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 Hoon Ko. The network helps show where Hoon Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Hoon 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 197 | |
| 2 | 2016 | 67 | |
| 3 | 2018 | 52 | |
| 4 | 2018 | 52 | |
| 5 | 2020 | 51 | |
| 6 | 2020 | 27 | |
| 7 | 2020 | 27 | |
| 8 | 2021 | 25 | |
| 9 | 2016 | 20 | |
| 10 | 2017 | 17 | |
| 11 | 2021 | 10 | |
| 12 | 2016 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2021 | 6 | |
| 19 | 2019 | 4 | |
| 20 | 2016 | 3 |
About Hoon Ko
Hoon Ko is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Surgery, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 23 papers that have together received 619 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (12 papers), Heart Rate Variability and Autonomic Control (9 papers), COVID-19 diagnosis using AI (5 papers), Hemodynamic Monitoring and Therapy (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), ECG Monitoring and Analysis (3 papers), Bone health and osteoporosis research (2 papers) and Trauma and Emergency Care Studies (2 papers). The work is most often cited by research in Health Informatics (84 citations), Radiology, Nuclear Medicine and Imaging (329 citations), Cardiology and Cardiovascular Medicine (141 citations), Health Information Management (25 citations) and Artificial Intelligence (172 citations). Hoon Ko has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Jinseok Lee, Heewon Chung, Hooseok Lee, Kyung Won Kim, Wu Seong Kang, Jae Hoon Lee, Seung‐Ji Kang, Young Jun Kim, Youngbin Shin and Hyun‐Seok Jung. Their work appears in journals such as Journal of Medical Internet Research, Scientific Reports, IEEE Sensors Journal, PLoS ONE and SpringerPlus.
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.