| Performance variation in motor imagery brain–computer interface: a brief review M Ahn, SC Jun Journal of neuroscience methods 243, 103-110, 2015 | 254 | 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 | 187 | 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 | 172 | 2013 |
| EEG datasets for motor imagery brain–computer interface H Cho, M Ahn, S Ahn, M Kwon, SC Jun GigaScience 6 (7), gix034, 2017 | 149 | 2017 |
| 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 | 149 | 2016 |
| 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 | 117 | 2017 |
| 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 | 91 | 2013 |
| 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 | 79 | 2013 |
| 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 | 79 | 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 | 69 | 2009 |
| 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 | 67 | 2014 |
| 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 | 63 | 2018 |
| 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 | 62 | 2017 |
| Steady-state somatosensory evoked potential for brain-computer interface—present and future S Ahn, K Kim, SC Jun Frontiers in human neuroscience, 716, 2016 | 61 | 2016 |
| 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 | 58 | 2015 |
| A multi-scale computational model of the effects of TMS on motor cortex H Seo, N Schaworonkow, SC Jun, J Triesch F1000Research 5, 2016 | 51 | 2016 |
| 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 | 51 | 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 | 44 | 2012 |
| Negotiation-based flexible SLA establishment with SLA-driven resource allocation in cloud computing S Son, SC Jun 2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid …, 2013 | 40 | 2013 |
| 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 | 38 | 2015 |
Minkyu AhnAssistant professor, Handong Global UniversityVerified email at handong.edu
