Dong-Ok Won
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
Papers in
-
- EEG and Brain-Computer Interfaces 27
- Neural dynamics and brain function 7
- Co-authors
- Seong–Whan Lee (19 shared papers)Klaus‐Robert Müller (6 shared papers)Sunil Kumar Prabhakar (21 shared papers)Min-Ho Lee (1 shared paper)John Williamson (1 shared paper)Siamac Fazli (1 shared paper)Kwang‐Suk Seo (7 shared papers)Han‐Jeong Hwang (2 shared papers)
- Journals
- PLoS ONE (3 papers)Expert Systems with Applications (2 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (2 papers)Frontiers in Physiology (2 papers)BioMed Research International (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Dong-Ok Won
46 papers receiving 813 citations
Peers
Comparison fields: 5 of 94
- Cognitive Neuroscience 500
- Human-Computer Interaction 129
- Cellular and Molecular Neuroscience 186
- Signal Processing 85
- Anesthesiology and Pain Medicine 34
Countries citing papers authored by Dong-Ok Won
This map shows the geographic impact of Dong-Ok Won'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 Dong-Ok Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong-Ok Won more than expected).
Fields of papers citing papers by Dong-Ok Won
This network shows the impact of papers produced by Dong-Ok Won. 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 Dong-Ok Won. The network helps show where Dong-Ok Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong-Ok Won, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 129 | |
| 2 | 2015 | 104 | |
| 3 | 2017 | 102 | |
| 4 | 2017 | 90 | |
| 5 | 2020 | 65 | |
| 6 | 2021 | 42 | |
| 7 | 2022 | 34 | |
| 8 | 2017 | 28 | |
| 9 | 2014 | 18 | |
| 10 | 2024 | 15 | |
| 11 | 2023 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2019 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2024 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2022 | 6 |
About Dong-Ok Won
Dong-Ok Won is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Signal Processing, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 55 papers that have together received 825 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (27 papers), Neuroscience and Neural Engineering (8 papers), Neural dynamics and brain function (7 papers), Gaze Tracking and Assistive Technology (6 papers), Music and Audio Processing (5 papers), ECG Monitoring and Analysis (5 papers), Blind Source Separation Techniques (4 papers) and Non-Invasive Vital Sign Monitoring (3 papers). The work is most often cited by research in Cognitive Neuroscience (500 citations), Human-Computer Interaction (129 citations), Cellular and Molecular Neuroscience (186 citations), Signal Processing (85 citations) and Anesthesiology and Pain Medicine (34 citations). Dong-Ok Won has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Seong–Whan Lee, Klaus‐Robert Müller, Sunil Kumar Prabhakar, Min-Ho Lee, John Williamson, Siamac Fazli, Kwang‐Suk Seo, Han‐Jeong Hwang, Sven Dähne and Hyun Jeong Kim. Their work appears in journals such as PLoS ONE, Expert Systems with Applications, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Frontiers in Physiology and BioMed Research International.
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.