Joo Heung Yoon
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education 3
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments 2
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- COVID-19 diagnosis using AI 3
- Cardiac Imaging and Diagnostics 2
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- Machine Learning in Healthcare 4
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- Coronary Interventions and Diagnostics 3
- Hemodynamic Monitoring and Therapy 3
- Heparin-Induced Thrombocytopenia and Thrombosis 2
Joo Heung Yoon
25 papers receiving 651 citations
Peers
Comparison fields: 5 of 113
- Health Informatics 63
- Transplantation 28
- Critical Care and Intensive Care Medicine 32
- Cardiology and Cardiovascular Medicine 123
- Radiology, Nuclear Medicine and Imaging 121
Countries citing papers authored by Joo Heung Yoon
This map shows the geographic impact of Joo Heung Yoon'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 Joo Heung Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joo Heung Yoon more than expected).
Fields of papers citing papers by Joo Heung Yoon
This network shows the impact of papers produced by Joo Heung Yoon. 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 Joo Heung Yoon. The network helps show where Joo Heung Yoon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joo Heung Yoon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 7 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 70 | |
| 4 | 2021 | 12 | |
| 5 | 2020 | 6 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 30 | |
| 8 | 2019 | 25 | |
| 9 | 2018 | 16 | |
| 10 | 2018 | 57 | |
| 11 | 2017 | 80 | |
| 12 | 2013 | 91 | |
| 13 | 2013 | 120 | |
| 14 | 2012 | 2 | |
| 15 | 2011 | 9 | |
| 16 | 2010 | 8 | |
| 17 | 2010 | 9 | |
| 18 | 2010 | 41 | |
| 19 | 2009 | 4 | |
| 20 | 2009 | 9 |
About Joo Heung Yoon
Joo Heung Yoon is a scholar working on Health Informatics, Transplantation and Critical Care and Intensive Care Medicine, having authored 27 papers that have together received 664 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Coronary Interventions and Diagnostics (3 papers), Hemodynamic Monitoring and Therapy (3 papers), COVID-19 diagnosis using AI (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Health Informatics (63 citations), Transplantation (28 citations) and Critical Care and Intensive Care Medicine (32 citations). Joo Heung Yoon has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Michael R. Pinsky, Gilles Clermont, Ik–Kyung Jang, Qingen Ke, Donghyun Hong, Soochan Bae, Gilson Khang, Peter M. Kang, Hyungsuk Lim and Dongwon Lee. Their work appears in journals such as PLoS ONE, Scientific Reports and The American Journal of Cardiology.
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.