Yoonsuck Choe

1.8k citations
108 papers · 924 indexed · h-index 14

Impact in

    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • EEG and Brain-Computer Interfaces
  • Biophysics top 5%
    • Cell Image Analysis Techniques

Papers in

    • Cell Image Analysis Techniques 17
    • Advanced Fluorescence Microscopy Techniques 9
    • Neural dynamics and brain function 48
    • Visual perception and processing mechanisms 20

Yoonsuck Choe

97 papers receiving 859 citations

Peers

Yoonsuck Choe
Comparison fields: 5 of 111
  • Cognitive Neuroscience 468
  • Biophysics 89
  • Artificial Intelligence 306
  • Cellular and Molecular Neuroscience 143
  • Computer Vision and Pattern Recognition 122
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Citations per field
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Citations per year

Countries citing papers authored by Yoonsuck Choe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Yoonsuck Choe Line = papers co-authored together Yoonsuck Choe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20221
4 20171
5
Assessing Emotions by Cursor Motions: An Affective Computing Approach.
20152
6
Directed Exploration in Reinforcement Learning with Transferred Knowledge
201214
7 20117
8 20111
9
Action-based autonomous grounding
20110
10 20106
11
Manifold integration with Markov random walks
20083
12 20061
13
Facilitatory neural dynamics for predictive extrapolation
20063
14
Motion-based autonomous grounding: inferring external world properties from encoded internal sensory states alone
20065
15
Computational role of disinhibition in brain function
20061
16 20069
17
Angular Disinhibition Effect in a Modified Poggendorff Illusion
20046
18
A Self-Organizing Neural Network for Contour Integration through Synchronized Firing
20003
19
Self-Organization and Segmentation with Laterally Connected Spiking Neurons
199710
20
Laterally Interconnected Self-Organizing Maps in Hand-Written Digit Recognition
19956

About Yoonsuck Choe

Yoonsuck Choe is a scholar working on Biophysics, Cognitive Neuroscience, Structural Biology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 108 papers that have together received 924 indexed citations. Recurring topics across this work include Neural dynamics and brain function (48 papers), Visual perception and processing mechanisms (20 papers), Neural Networks and Applications (18 papers), Cell Image Analysis Techniques (17 papers), Action Observation and Synchronization (12 papers), Advanced Memory and Neural Computing (11 papers), Advanced Fluorescence Microscopy Techniques (9 papers) and Reinforcement Learning in Robotics (9 papers). The work is most often cited by research in Cognitive Neuroscience (468 citations), Biophysics (89 citations), Artificial Intelligence (306 citations), Cellular and Molecular Neuroscience (143 citations) and Computer Vision and Pattern Recognition (122 citations). Yoonsuck Choe has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Risto Miikkulainen, James A. Bednar, Joseph Sirosh, Jaerock Kwon, Peng Li, Yong Zhang, Yingyezhe Jin, Heejin Lim, Huei‐Fang Yang and John Keyser. Their work appears in journals such as Neurocomputing, Neural Computation, BMC Neuroscience, Biological Cybernetics 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.

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