Sung Chan Jun

Affiliations: 
2000-2002 Computer Science University of New Mexico, Albuquerque, NM, United States 
 2002-2007 Los Alamos National Laboratory, Los Alamos, NM, United States 
 2007- Electrical Engineering and Computer Science Gwangju Institute of Science and Technology (GIST), South Korea 
Google:
"Sung Jun"
Mean distance: 15.44 (cluster 17)
 
SNBCP
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Ahn S, Jun SC. (2021) Corrigendum: Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces - Current Limitations and Future Directions. Frontiers in Human Neuroscience. 15: 645869
Kwon M, Cho H, Won K, et al. (2020) Use of Both Eyes-Open and Eyes-Closed Resting States May Yield a More Robust Predictor of Motor Imagery BCI Performance Electronics. 9: 690
Lee J, Won K, Kwon M, et al. (2020) CNN With Large Data Achieves True Zero-Training in Online P300 Brain-Computer Interface Ieee Access. 8: 74385-74400
Kwon M, Han S, Kim K, et al. (2019) Super-Resolution for Improving EEG Spatial Resolution using Deep Convolutional Neural Network-Feasibility Study. Sensors (Basel, Switzerland). 19
Lee S, Cho H, Kim K, et al. (2019) Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues. Sensors (Basel, Switzerland). 19
Won K, Kwon M, Jang S, et al. (2019) P300 Speller Performance Predictor Based on RSVP Multi-feature. Frontiers in Human Neuroscience. 13: 261
Lee H, Choi J, Kim S, et al. (2019) A Compressive Sensing-Based Automatic Sleep-Stage Classification System With Radial Basis Function Neural Network Ieee Access. 7: 186499-186509
Ahn M, Cho H, Ahn S, et al. (2018) User's Self-Prediction of Performance in Motor Imagery Brain-Computer Interface. Frontiers in Human Neuroscience. 12: 59
Seo H, Jun SC. (2017) Multi-Scale Computational Models for Electrical Brain Stimulation. Frontiers in Human Neuroscience. 11: 515
Ahn S, Jun SC. (2017) Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces - Current Limitations and Future Directions. Frontiers in Human Neuroscience. 11: 503
See more...