Sungjun Kwon
Impact in
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- Heart Rate Variability and Autonomic Control
- ECG Monitoring and Analysis
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Non-Invasive Vital Sign Monitoring 7
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- ECG Monitoring and Analysis 8
- Heart Rate Variability and Autonomic Control 4
- Co-authors
- Sangwon Chae (4 shared papers)Dong-Hyun Lee (4 shared papers)Hyun-Seok Kim (1 shared paper)Kwangsuk Park (7 shared papers)Jeehoon Kim (4 shared papers)Dong‐Seok Lee (3 shared papers)Sungwon Kang (3 shared papers)Jeongsu Lee (1 shared paper)
- Journals
- International Journal of Environmental Research and Public Health (1 paper)Technological Forecasting and Social Change (1 paper)Sensors (1 paper)Scientific Reports (1 paper)Telemedicine Journal and e-Health (1 paper)
- Partner nations
- South KoreaSingaporeCanada
In The Last Decade
Sungjun Kwon
17 papers receiving 864 citations
Sungjun Kwon's Hit Papers
Peers
Comparison fields: 5 of 124
- Cardiology and Cardiovascular Medicine 265
- Modeling and Simulation 58
- Health Information Management 56
- Health Informatics 14
- Biomedical Engineering 370
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-authors
The 25 scholars most cited alongside Sungjun Kwon, 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 | Predicting Infectious Disease Using Deep Learning and Big Data Hit paper breakdown → | 2018 | 238 |
| 2 | 2012 | 210 | |
| 3 | 2021 | 95 | |
| 4 | 2015 | 75 | |
| 5 | 2015 | 62 | |
| 6 | 2011 | 40 | |
| 7 | 2022 | 37 | |
| 8 | 2014 | 33 | |
| 9 | 2009 | 33 | |
| 10 | 2015 | 21 | |
| 11 | 2009 | 16 | |
| 12 | 2014 | 13 | |
| 13 | 2014 | 10 | |
| 14 | 2016 | 10 | |
| 15 | 2014 | 6 | |
| 16 | An Automated Motion Artifact Removal Algorithm in Electrocardiogram Based on Independent Component Analysis | 2013 | 3 |
| 17 | 2022 | 1 |
About Sungjun Kwon
Sungjun Kwon is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Environmental Engineering, having authored 17 papers that have together received 903 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (8 papers), Non-Invasive Vital Sign Monitoring (7 papers), Heart Rate Variability and Autonomic Control (4 papers), EEG and Brain-Computer Interfaces (3 papers), Green IT and Sustainability (2 papers), Air Quality Monitoring and Forecasting (2 papers), Vehicle emissions and performance (1 paper) and Computational and Text Analysis Methods (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (265 citations), Modeling and Simulation (58 citations), Health Information Management (56 citations), Health Informatics (14 citations) and Biomedical Engineering (370 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 Junehwa Song. Their work appears in journals such as International Journal of Environmental Research and Public Health, Technological Forecasting and Social Change, Sensors, Scientific Reports and Telemedicine Journal and e-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.