Heejun Yoon
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Genetics top 10%
- Genetic Associations and Epidemiology
Papers in
-
- Distributed and Parallel Computing Systems 3
- Advanced Data Storage Technologies 3
-
- Advanced Image and Video Retrieval Techniques 1
- Handwritten Text Recognition Techniques 1
- Advanced Vision and Imaging 1
- Co-authors
- S. Y. Noh (3 shared papers)Moon-Hyun Kim (2 shared papers)Taehyung Kim (1 shared paper)Chi-Woong Kim (2 shared papers)Ahmad Waqas (1 shared paper)S. U. Ahn (3 shared papers)Sang Oh Park (1 shared paper)Sang-Kuk Kim (1 shared paper)
- Journals
- Applied Sciences (2 papers)Nature (1 paper)Clinical Oral Investigations (1 paper)Machine Vision and Applications (1 paper)Electronics (1 paper)
- Partner nations
- South KoreaSwitzerlandPakistan
In The Last Decade
Heejun Yoon
13 papers receiving 665 citations
Heejun Yoon's Hit Papers
Peers
Comparison fields: 5 of 71
- Infectious Diseases 333
- Genetics 311
- Neurology 38
- Immunology 50
- Aging 3
Countries citing papers authored by Heejun Yoon
This map shows the geographic impact of Heejun 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 Heejun Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heejun Yoon more than expected).
Fields of papers citing papers by Heejun Yoon
This network shows the impact of papers produced by Heejun 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 Heejun Yoon. The network helps show where Heejun Yoon may publish in the future.
Co-authors
The 16 scholars most cited alongside Heejun 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 | Mapping the human genetic architecture of COVID-19 Hit paper breakdown → | 2021 | 656 |
| 2 | 2021 | 14 | |
| 3 | 2021 | 6 | |
| 4 | 2015 | 4 | |
| 5 | 2014 | 3 | |
| 6 | 2015 | 2 | |
| 7 | A Parallel Processing System for a High-Speed Printed Document Recognition. | 1996 | 1 |
| 8 | 2006 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 0 |
About Heejun Yoon
Heejun Yoon is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Oral Surgery, Otorhinolaryngology and Information Systems, having authored 14 papers that have together received 692 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (3 papers), Advanced Data Storage Technologies (3 papers), Cloud Computing and Resource Management (2 papers), Dental Implant Techniques and Outcomes (2 papers), Parallel Computing and Optimization Techniques (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Handwritten Text Recognition Techniques (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Infectious Diseases (333 citations), Genetics (311 citations), Neurology (38 citations), Immunology (50 citations) and Aging (3 citations). Heejun Yoon has collaborated with scholars based in South Korea, Switzerland and Pakistan. Frequent co-authors include S. Y. Noh, Moon-Hyun Kim, Taehyung Kim, Chi-Woong Kim, Ahmad Waqas, S. U. Ahn, Sang Oh Park, Sang-Kuk Kim, Latchezar Betev and Hyun‐Chang Lim. Their work appears in journals such as Applied Sciences, Nature, Clinical Oral Investigations, Machine Vision and Applications and Electronics.
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.