Kyoobin Lee
Impact in
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Sleep and Wakefulness Research
- Neural dynamics and brain function
Papers in
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- Advanced Neural Network Applications 8
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- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Seunghyeok Back (13 shared papers)Hogeon Seo (4 shared papers)Dong‐Soo Kwon (7 shared papers)Tae Kim (2 shared papers)Deok-Won Lee (1 shared paper)Mun Sang Kim (1 shared paper)Sanghyub Lee (1 shared paper)Hee‐Sup Shin (3 shared papers)
- Journals
- IEEE Access (3 papers)Applied Sciences (3 papers)IEEE Robotics and Automation Letters (2 papers)Proceedings of the National Academy of Sciences (2 papers)Computer Vision and Image Understanding (1 paper)
- Partner nations
- South KoreaUnited StatesSwitzerland
In The Last Decade
Kyoobin Lee
53 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 119
- Human-Computer Interaction 117
- Cognitive Neuroscience 308
- Cellular and Molecular Neuroscience 170
- Computer Vision and Pattern Recognition 187
- Oral Surgery 61
Countries citing papers authored by Kyoobin Lee
This map shows the geographic impact of Kyoobin Lee'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 Kyoobin Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyoobin Lee more than expected).
Fields of papers citing papers by Kyoobin Lee
This network shows the impact of papers produced by Kyoobin Lee. 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 Kyoobin Lee. The network helps show where Kyoobin Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyoobin Lee, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 152 | |
| 2 | 2017 | 122 | |
| 3 | 2020 | 98 | |
| 4 | 2011 | 66 | |
| 5 | 2004 | 60 | |
| 6 | 1983 | 43 | |
| 7 | 2022 | 41 | |
| 8 | 2009 | 39 | |
| 9 | 2021 | 36 | |
| 10 | 2021 | 33 | |
| 11 | 2011 | 33 | |
| 12 | 2013 | 32 | |
| 13 | 2022 | 31 | |
| 14 | 2003 | 30 | |
| 15 | 2023 | 26 | |
| 16 | 2021 | 25 | |
| 17 | 2016 | 20 | |
| 18 | 2022 | 20 | |
| 19 | 2023 | 16 | |
| 20 | 2002 | 15 |
About Kyoobin Lee
Kyoobin Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Advanced Memory and Neural Computing (8 papers), Gaze Tracking and Assistive Technology (5 papers), Neuroscience and Neural Engineering (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), EEG and Brain-Computer Interfaces (4 papers), CCD and CMOS Imaging Sensors (4 papers) and Sleep and Wakefulness Research (4 papers). The work is most often cited by research in Human-Computer Interaction (117 citations), Cognitive Neuroscience (308 citations), Cellular and Molecular Neuroscience (170 citations), Computer Vision and Pattern Recognition (187 citations) and Oral Surgery (61 citations). Kyoobin Lee has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Seunghyeok Back, Hogeon Seo, Dong‐Soo Kwon, Tae Kim, Deok-Won Lee, Mun Sang Kim, Sanghyub Lee, Hee‐Sup Shin, Eunji Cheong and Sungho Shin. Their work appears in journals such as IEEE Access, Applied Sciences, IEEE Robotics and Automation Letters, Proceedings of the National Academy of Sciences and Computer Vision and Image Understanding.
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.