Oyeon Kwon
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Health Informatics top 5%
Papers in
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- Sepsis Diagnosis and Treatment 6
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- Machine Learning in Healthcare 2
- Edcuational Technology Systems 1
- Co-authors
- Min-Ho Lee (2 shared papers)Seong–Whan Lee (2 shared papers)Cuntai Guan (1 shared paper)Young-Eun Lee (1 shared paper)John Williamson (1 shared paper)Siamac Fazli (1 shared paper)Yeha Lee (9 shared papers)Hwa Jin Cho (7 shared papers)
- Journals
- Critical Care Medicine (2 papers)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Frontiers in Cardiovascular Medicine (1 paper)Journal of Korean Medical Science (1 paper)Resuscitation (1 paper)
- Partner nations
- South KoreaKazakhstanSingapore
In The Last Decade
Oyeon Kwon
11 papers receiving 885 citations
Oyeon Kwon's Hit Papers
Peers
Comparison fields: 5 of 62
- Cognitive Neuroscience 628
- Health Informatics 38
- Human-Computer Interaction 127
- Cellular and Molecular Neuroscience 269
- Emergency Medicine 70
Countries citing papers authored by Oyeon Kwon
This map shows the geographic impact of Oyeon 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 Oyeon Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oyeon Kwon more than expected).
Fields of papers citing papers by Oyeon Kwon
This network shows the impact of papers produced by Oyeon 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 Oyeon Kwon. The network helps show where Oyeon Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Oyeon 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 | EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy Hit paper breakdown → | 2019 | 411 |
| 2 | Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks Hit paper breakdown → | 2019 | 268 |
| 3 | 2020 | 86 | |
| 4 | 2020 | 51 | |
| 5 | 2021 | 35 | |
| 6 | 2021 | 19 | |
| 7 | 2020 | 12 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2019 | 2 | |
| 11 | 2019 | 1 |
About Oyeon Kwon
Oyeon Kwon is a scholar working on Epidemiology, Artificial Intelligence, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 898 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (6 papers), EEG and Brain-Computer Interfaces (2 papers), Machine Learning in Healthcare (2 papers), Hydrological Forecasting Using AI (1 paper), Neuroscience and Neural Engineering (1 paper), Emergency and Acute Care Studies (1 paper), Digital Imaging for Blood Diseases (1 paper) and Edcuational Technology Systems (1 paper). The work is most often cited by research in Cognitive Neuroscience (628 citations), Health Informatics (38 citations), Human-Computer Interaction (127 citations), Cellular and Molecular Neuroscience (269 citations) and Emergency Medicine (70 citations). Oyeon Kwon has collaborated with scholars based in South Korea, Kazakhstan and Singapore. Frequent co-authors include Min-Ho Lee, Seong–Whan Lee, Cuntai Guan, Young-Eun Lee, John Williamson, Siamac Fazli, Yeha Lee, Hwa Jin Cho, Hyunho Park and Joon‐myoung Kwon. Their work appears in journals such as Critical Care Medicine, IEEE Transactions on Neural Networks and Learning Systems, Frontiers in Cardiovascular Medicine, Journal of Korean Medical Science and Resuscitation.
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.