Hee Jun Kang
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Otorhinolaryngology top 10%
- Sinusitis and nasal conditions
Papers in
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- Machine Learning in Healthcare 2
-
- Heat Transfer and Optimization 3
- Heat Transfer and Boiling Studies 2
- Co-authors
- Cheng-Xian Lin (3 shared papers)M. A. Ebadian (3 shared papers)Young‐Hak Kim (17 shared papers)Dong Hyun Yang (5 shared papers)Tae Joon Jun (17 shared papers)Duy-Tang Hoang (1 shared paper)Yunha Kim (14 shared papers)Junsang Moon (1 shared paper)
- Journals
- BMC Medical Informatics and Decision Making (3 papers)Scientific Reports (3 papers)Cardiovascular Drugs and Therapy (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Cardiology and Therapy (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Hee Jun Kang
29 papers receiving 398 citations
Peers
Comparison fields: 5 of 82
- Health Informatics 22
- Otorhinolaryngology 39
- Health Information Management 21
- Radiology, Nuclear Medicine and Imaging 61
- Mechanical Engineering 111
Countries citing papers authored by Hee Jun Kang
This map shows the geographic impact of Hee Jun Kang'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 Hee Jun Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hee Jun Kang more than expected).
Fields of papers citing papers by Hee Jun Kang
This network shows the impact of papers produced by Hee Jun Kang. 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 Hee Jun Kang. The network helps show where Hee Jun Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hee Jun Kang, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 65 | |
| 2 | 2012 | 63 | |
| 3 | 2021 | 43 | |
| 4 | 2003 | 38 | |
| 5 | 2004 | 33 | |
| 6 | 2021 | 21 | |
| 7 | 2024 | 16 | |
| 8 | 2018 | 16 | |
| 9 | 2023 | 13 | |
| 10 | 2021 | 11 | |
| 11 | 2009 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2018 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2000 | 4 |
About Hee Jun Kang
Hee Jun Kang is a scholar working on Artificial Intelligence, Mechanical Engineering, Cardiology and Cardiovascular Medicine, Control and Systems Engineering and Otorhinolaryngology, having authored 35 papers that have together received 407 indexed citations. Recurring topics across this work include Heat Transfer and Optimization (3 papers), Sinusitis and nasal conditions (2 papers), Machine Learning in Healthcare (2 papers), Heat Transfer and Boiling Studies (2 papers), Cardiac Imaging and Diagnostics (2 papers), Robotics and Sensor-Based Localization (1 paper), DNA Repair Mechanisms (1 paper) and Aortic Disease and Treatment Approaches (1 paper). The work is most often cited by research in Health Informatics (22 citations), Otorhinolaryngology (39 citations), Health Information Management (21 citations), Radiology, Nuclear Medicine and Imaging (61 citations) and Mechanical Engineering (111 citations). Hee Jun Kang has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Cheng-Xian Lin, M. A. Ebadian, Young‐Hak Kim, Dong Hyun Yang, Tae Joon Jun, Duy-Tang Hoang, Yunha Kim, Junsang Moon, Joon‐Won Kang and Younghye Moon. Their work appears in journals such as BMC Medical Informatics and Decision Making, Scientific Reports, Cardiovascular Drugs and Therapy, Computer Methods and Programs in Biomedicine and Cardiology and Therapy.
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.