| EEG datasets for motor imagery brain computer interface H Cho, M Ahn, S Ahn, M Kwon, SC Jun Gigascience 6 (7), 1-8, 2017 | 322 | 2017 |
| High theta and low alpha powers may be indicative of BCI-illiteracy in motor imagery M Ahn, H Cho, S Ahn, SC Jun PloS one 8 (11), e80886, 2013 | 241 | 2013 |
| Interbrain phase synchronization during turn‐taking verbal interaction—a hyperscanning study using simultaneous EEG/MEG S Ahn, H Cho, M Kwon, K Kim, H Kwon, BS Kim, WS Chang, JW Chang, ... Human Brain Mapping, 2017 | 112 | 2017 |
| Gamma band activity associated with BCI performance: simultaneous MEG/EEG study M Ahn, S Ahn, JH Hong, H Cho, K Kim, BS Kim, JW Chang, SC Jun Frontiers in human neuroscience 7, 848, 2013 | 111 | 2013 |
| Achieving a hybrid brain–computer interface with tactile selective attention and motor imagery S Ahn, M Ahn, H Cho, SC Jun Journal of neural engineering 11 (6), 066004, 2014 | 89 | 2014 |
| Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification Y Shin, S Lee, M Ahn, H Cho, SC Jun, HN Lee Biomedical Signal Processing and Control 21, 8-18, 2015 | 75 | 2015 |
| Increasing session-to-session transfer in a brain–computer interface with on-site background noise acquisition H Cho, M Ahn, K Kim, SC Jun Journal of Neural Engineering 12 (6), 066009, 2015 | 51 | 2015 |
| Simple adaptive sparse representation based classification schemes for EEG based brain–computer interface applications Y Shin, S Lee, M Ahn, H Cho, SC Jun, HN Lee Computers in biology and medicine 66, 29-38, 2015 | 40 | 2015 |
| User’s self-prediction of performance in motor imagery brain–computer interface M Ahn, H Cho, S Ahn, SC Jun Frontiers in human neuroscience 12, 59, 2018 | 39 | 2018 |
| Use of both eyes-open and eyes-closed resting states may yield a more robust predictor of motor imagery BCI performance M Kwon, H Cho, K Won, M Ahn, SC Jun Electronics 9 (4), 690, 2020 | 28 | 2020 |
| Feasibility study for visual discomfort assessment on stereo images using EEG H Cho, MK Kang, KJ Yoon, SC Jun 3D Imaging (IC3D), 2012 International Conference on, 1 - 6, 2012 | 28 | 2012 |
| A wellness platform for stereoscopic 3D video systems using EEG-based visual discomfort evaluation technology MK Kang, H Cho, HM Park, SC Jun, KJ Yoon Applied Ergonomics 62, 158-167, 2017 | 25 | 2017 |
| 23 A Step-by-Step Tutorial for a Motor Imagery–Based BCI H Cho, M Ahn, M Kwon, SC Jun Brain–Computer Interfaces Handbook: Technological and Theoretical Advances …, 2018 | 21 | 2018 |
| Simultaneous EEG acquisition system for multiple users: development and related issues S Lee, H Cho, K Kim, SC Jun Sensors 19 (20), 4592, 2019 | 19 | 2019 |
| Calibration time reduction through source imaging in brain computer interface (BCI) M Ahn, H Cho, SC Jun HCI International 2011–Posters’ Extended Abstracts: International Conference …, 2011 | 19 | 2011 |
| Invariant Common Spatio-Spectral Patterns H Cho, M Ahn, S Ahn, SC Jun TOBI 3rd Workshop, 31-32, 2012 | 10 | 2012 |
| Ergonomic issues in brain-computer interface technologies: current status, challenges, and future direction HJ Baek, HS Kim, M Ahn, H Cho, S Ahn Computational Intelligence and Neuroscience: CIN 2020, 2020 | 9 | 2020 |
| Event-related desynchronization (ERD) may not be correlated with motor imagery BCI performance M Kwon, H Cho, K Won, M Ahn, SC Jun 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 8 | 2018 |
| A novel theta-controlled vibrotactile brain–computer interface to treat chronic pain: a pilot study P Demarest, N Rustamov, J Swift, T Xie, M Adamek, H Cho, E Wilson, ... Scientific reports 14 (1), 3433, 2024 | 6 | 2024 |
| Herbal extracts that reduce ocular oxidative stress may enhance attentive performance in humans H Cho, M Kwon, H Jang, JB Lee, KC Yoon, SC Jun Computational Intelligence and Neuroscience 2016 (Article ID 4292145), 13, 2016 | 6 | 2016 |
Sung Chan JunAI Graduate School/School of EECS, Gwangju Institute of Science and TechnologyVerified email at gist.ac.kr
