Yoonsuck Choe
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- EEG and Brain-Computer Interfaces
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- Neural dynamics and brain function 57
- Visual perception and processing mechanisms 25
- Biophysics 22
- Cell Image Analysis Techniques 21
- Advanced Fluorescence Microscopy Techniques 9
- Co-authors
- Risto Miikkulainen (7 shared papers)James A. Bednar (4 shared papers)Joseph Sirosh (4 shared papers)Jaerock Kwon (18 shared papers)Peng Li (1 shared paper)Yingyezhe Jin (1 shared paper)Yong Zhang (1 shared paper)Huei‐Fang Yang (7 shared papers)
- Journals
- Neurocomputing (8 papers)BMC Neuroscience (3 papers)Neural Computation (3 papers)Frontiers in Neurorobotics (2 papers)Neural Networks (2 papers)
- Partner nations
- United StatesSouth KoreaItaly
In The Last Decade
Yoonsuck Choe
114 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 135
- Cognitive Neuroscience 640
- Biophysics 105
- Artificial Intelligence 407
- Cellular and Molecular Neuroscience 170
- Computer Vision and Pattern Recognition 157
Countries citing papers authored by Yoonsuck Choe
This map shows the geographic impact of Yoonsuck Choe'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 Yoonsuck Choe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoonsuck Choe more than expected).
Fields of papers citing papers by Yoonsuck Choe
This network shows the impact of papers produced by Yoonsuck Choe. 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 Yoonsuck Choe. The network helps show where Yoonsuck Choe may publish in the future.
Co-authors
The 25 scholars most cited alongside Yoonsuck Choe, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 178 | |
| 2 | 2015 | 142 | |
| 3 | 2016 | 83 | |
| 4 | 2013 | 55 | |
| 5 | 1998 | 41 | |
| 6 | 2019 | 35 | |
| 7 | 1997 | 35 | |
| 8 | 2011 | 28 | |
| 9 | 2004 | 24 | |
| 10 | 2007 | 23 | |
| 11 | 2009 | 21 | |
| 12 | 2014 | 19 | |
| 13 | 2019 | 18 | |
| 14 | 2009 | 18 | |
| 15 | 2011 | 16 | |
| 16 | 2008 | 15 | |
| 17 | 2004 | 15 | |
| 18 | Perceptual groupings in a self-organizing map of spiking neurons | 2001 | 15 |
| 19 | 2020 | 14 | |
| 20 | 2008 | 14 |
About Yoonsuck Choe
Yoonsuck Choe is a scholar working on Cognitive Neuroscience, Biophysics, Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology, having authored 126 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (57 papers), Visual perception and processing mechanisms (25 papers), Cell Image Analysis Techniques (21 papers), Neural Networks and Applications (20 papers), Action Observation and Synchronization (16 papers), Advanced Memory and Neural Computing (13 papers), Reinforcement Learning in Robotics (11 papers) and Advanced Fluorescence Microscopy Techniques (9 papers). The work is most often cited by research in Cognitive Neuroscience (640 citations), Biophysics (105 citations), Artificial Intelligence (407 citations), Cellular and Molecular Neuroscience (170 citations) and Computer Vision and Pattern Recognition (157 citations). Yoonsuck Choe has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Risto Miikkulainen, James A. Bednar, Joseph Sirosh, Jaerock Kwon, Peng Li, Yingyezhe Jin, Yong Zhang, Huei‐Fang Yang, Heejin Lim and John Keyser. Their work appears in journals such as Neurocomputing, BMC Neuroscience, Neural Computation, Frontiers in Neurorobotics and Neural Networks.
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.