| Performance variation in motor imagery brain–computer interface: a brief review M Ahn, SC Jun Journal of neuroscience methods 243, 103-110, 2015 | 199 | 2015 |
| A review of brain-computer interface games and an opinion survey from researchers, developers and users M Ahn, M Lee, J Choi, SC Jun Sensors 14 (8), 14601-14633, 2014 | 143 | 2014 |
| 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 | 138 | 2013 |
| Exploring neuro-physiological correlates of drivers' mental fatigue caused by sleep deprivation using simultaneous EEG, ECG, and fNIRS data S Ahn, T Nguyen, H Jang, JG Kim, SC Jun Frontiers in human neuroscience 10, 219, 2016 | 93 | 2016 |
| An SLA-based cloud computing that facilitates resource allocation in the distributed data centers of a cloud provider S Son, G Jung, SC Jun The Journal of Supercomputing 64 (2), 606-637, 2013 | 81 | 2013 |
| EEG datasets for motor imagery brain–computer interface H Cho, M Ahn, S Ahn, M Kwon, SC Jun GigaScience 6 (7), gix034, 2017 | 77 | 2017 |
| Utilization of a combined EEG/NIRS system to predict driver drowsiness T Nguyen, S Ahn, H Jang, SC Jun, JG Kim Scientific reports 7 (1), 1-10, 2017 | 74 | 2017 |
| Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data SC Jun, JS George, J Paré-Blagoev, SM Plis, DM Ranken, DM Schmidt, ... NeuroImage 28 (1), 84-98, 2005 | 73 | 2005 |
| Frequency-difference EIT (fdEIT) using weighted difference and equivalent homogeneous admittivity: validation by simulation and tank experiment SC Jun, J Kuen, J Lee, EJ Woo, D Holder, JK Seo Physiological measurement 30 (10), 1087, 2009 | 61 | 2009 |
| 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 | 60 | 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 | 54 | 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 | 47 | 2015 |
| Comparison of frequency difference reconstruction algorithms for the detection of acute stroke using EIT in a realistic head-shaped tank B Packham, H Koo, A Romsauerova, S Ahn, A McEwan, SC Jun, ... Physiological measurement 33 (5), 767, 2012 | 43 | 2012 |
| Feasibility of approaches combining sensor and source features in brain–computer interface M Ahn, JH Hong, SC Jun Journal of neuroscience methods 204 (1), 168-178, 2012 | 42 | 2012 |
| Steady-state somatosensory evoked potential for brain-computer interface—present and future S Ahn, K Kim, SC Jun Frontiers in human neuroscience 9, 716, 2016 | 40 | 2016 |
| Multi-modal integration of EEG-fNIRS for brain-computer interfaces–current limitations and future directions S Ahn, SC Jun Frontiers in human neuroscience 11, 503, 2017 | 37 | 2017 |
| A multi-scale computational model of the effects of TMS on motor cortex H Seo, N Schaworonkow, SC Jun, J Triesch F1000Research 5, 2016 | 36 | 2016 |
| 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 39 (1), 171-188, 2018 | 35 | 2018 |
| Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMC SC Jun, JS George, W Kim, J Paré-Blagoev, S Plis, DM Ranken, ... NeuroImage 40 (4), 1581-1594, 2008 | 34 | 2008 |
| Validation of weighted frequency-difference EIT using a three-dimensional hemisphere model and phantom S Ahn, TI Oh, SC Jun, JK Seo, EJ Woo Physiological measurement 32 (10), 1663, 2011 | 33 | 2011 |
Minkyu AhnAssistant professor, Handong Global UniversityEmail verificata su handong.edu
