Sungjun Kwon
- Biomedical Engineering top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Environmental Engineering top 10%
- Radiology, Nuclear Medicine and Imaging
- Surgery
- Co-authors
- Sangwon ChaeDong-Hyun LeeHyun-Seok KimKwangsuk ParkJeehoon KimDong‐Seok LeeSungwon KangJeongsu Lee
- Topics
- ECG Monitoring and Analysis (8 papers)Non-Invasive Vital Sign Monitoring (7 papers)Heart Rate Variability and Autonomic Control (4 papers)
- Partner nations
- South KoreaSingaporeCanada
In The Last Decade
Sungjun Kwon
17 papers receiving 777 citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Biomedical Engineering 349
- Cardiology and Cardiovascular Medicine 263
- Environmental Engineering 105
- Radiology, Nuclear Medicine and Imaging 99
- Surgery 89
Countries citing papers authored by Sungjun Kwon
This map shows the geographic impact of Sungjun Kwon'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 Sungjun Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungjun Kwon more than expected).
Fields of papers citing papers by Sungjun Kwon
This network shows the impact of papers produced by Sungjun Kwon. 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 Sungjun Kwon. The network helps show where Sungjun Kwon may publish in the future.
Co-authorship network of co-authors of Sungjun Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Sungjun Kwon. A scholar is included among the top collaborators of Sungjun Kwon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sungjun Kwon. Sungjun Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 35 | |
| 3 | 87 | |
| 4 | Predicting Infectious Disease Using Deep Learning and Big Databreakdown → | 196 |
| 5 | 10 | |
| 6 | 74 | |
| 7 | 55 | |
| 8 | 20 | |
| 9 | 9 | |
| 10 | 12 | |
| 11 | 32 | |
| 12 | 6 | |
| 13 | An Automated Motion Artifact Removal Algorithm in Electrocardiogram Based on Independent Component Analysis | 3 |
| 14 | 189 | |
| 15 | 38 | |
| 16 | 15 | |
| 17 | 29 |
About Sungjun Kwon
Sungjun Kwon is a scholar working on Cardiology and Cardiovascular Medicine, General Social Sciences and Physical Therapy, Sports Therapy and Rehabilitation, having authored 17 papers that have together received 811 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (8 papers), Non-Invasive Vital Sign Monitoring (7 papers) and Heart Rate Variability and Autonomic Control (4 papers). The work is most often cited by research in Modeling and Simulation (60 citations), Cardiology and Cardiovascular Medicine (263 citations) and Health Information Management (41 citations). Sungjun Kwon has collaborated with scholars based in South Korea, Singapore and Canada. Frequent co-authors include Sangwon Chae, Dong-Hyun Lee, Hyun-Seok Kim, Kwangsuk Park, Jeehoon Kim, Dong‐Seok Lee, Sungwon Kang, Jeongsu Lee, Gih Sung Chung and Hanbyul Kim. Their work appears in journals such as Scientific Reports, Sensors and International Journal of Environmental Research and Public Health.
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.