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 25
- Neural dynamics and brain function 8
-
- Music and Audio Processing 5
- Blind Source Separation Techniques 4
- Co-authors
- Seong‐Whan LeeKlaus‐Robert MüllerSunil Kumar PrabhakarJohn WilliamsonSiamac FazliMin-Ho LeeKwang‐Suk SeoHan‐Jeong Hwang
- Journals
- PLoS ONE (3 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (2 papers)Expert Systems with Applications (2 papers)Frontiers in Physiology (2 papers)Scientific Reports (1 paper)
- Partner nations
- South KoreaGermanyUnited States
In The Last Decade
Dong-Ok Won
43 papers receiving 739 citations
Peers
Comparison fields: 5 of 93
- Cognitive Neuroscience 487
- Human-Computer Interaction 114
- Cellular and Molecular Neuroscience 190
- Signal Processing 82
- Anesthesiology and Pain Medicine 35
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 9 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 6 | |
| 16 | 2019 | 10 | |
| 17 | 2017 | 85 | |
| 18 | 2017 | 100 | |
| 19 | 2017 | 4 | |
| 20 | 2015 | 97 |
About Dong-Ok Won
Dong-Ok Won is a scholar working on Cognitive Neuroscience, Signal Processing, Human-Computer Interaction, Anesthesiology and Pain Medicine and Developmental Biology, having authored 46 papers that have together received 751 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (25 papers), Neural dynamics and brain function (8 papers), Neuroscience and Neural Engineering (7 papers), Music and Audio Processing (5 papers), ECG Monitoring and Analysis (5 papers), Gaze Tracking and Assistive Technology (5 papers), Blind Source Separation Techniques (4 papers) and Phonocardiography and Auscultation Techniques (3 papers). The work is most often cited by research in Cognitive Neuroscience (487 citations), Human-Computer Interaction (114 citations), Cellular and Molecular Neuroscience (190 citations), Signal Processing (82 citations) and Anesthesiology and Pain Medicine (35 citations). Dong-Ok Won has collaborated with scholars based in South Korea, Germany and United States. Frequent co-authors include Seong‐Whan Lee, Klaus‐Robert Müller, Sunil Kumar Prabhakar, John Williamson, Siamac Fazli, Min-Ho Lee, Kwang‐Suk Seo, Han‐Jeong Hwang, Sven Dähne and Hyun Jeong Kim. Their work appears in journals such as PLoS ONE, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Expert Systems with Applications, Frontiers in Physiology and Scientific Reports.
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.