Sung Chan Jun

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Minkyu AhnAssociate Professor, Handong Global UniversityVerified email at handong.edu
Hohyun ChoDepartment of Neurosurgery, Washington University School of Medicine in St. LouisVerified email at wustl.edu
Sangtae AhnAssociate Professor, Kyungpook National UniversityVerified email at knu.ac.kr
Donghyeon KimNEUROPHET Inc.Verified email at neurophet.com
Sergey PlisTReNDS center: GSU, Emory, and GATechVerified email at gsu.edu
David HolderProfessor of Biophysics and Clinical Neurophysiology, University College LondonVerified email at ucl.ac.uk
Jin Keun SeoYonsei UniversityVerified email at yonsei.ac.kr
Barak A. PearlmutterDept of Computer Science, Maynooth UniversityVerified email at pearlmutter.net
Seokho SonSpecial Fellow; Senior Researcher, ETRI (Electronics and Telecommunications Research Institute)Verified email at etri.re.kr
Heung-No LeeGwangju Institute of Science and TechnologyVerified email at gist.ac.kr
Eung Je WooKyung Hee UniversityVerified email at khu.ac.kr
Guido NolteDept. of Neurophysiology and Pathophysiology, UKE, HamburgVerified email at uke.de
Tong In OhDepartment of Biomedical Engineering, Kyung Hee UniversityVerified email at khu.ac.kr
Min-Koo KangKorea Institute of Science and TechnologyVerified email at kist.re.kr
Kuk-Jin YoonProfessor, Visual Intelligence Lab., KAISTVerified email at kaist.ac.kr
Brett PackhamMedical Student, UCLVerified email at ucl.ac.uk
Euiheon ChungGwangju Institute of Science and Technology (GIST)Verified email at gist.ac.kr
Sohee KimProfessor, Daegu Gyeongbuk Institute of Science and Technology (DGIST)Verified email at dgist.ac.kr

Sung Chan Jun

AI Graduate School/School of EECS, Gwangju Institute of Science and Technology

Verified email at gist.ac.kr - Homepage

MEG/EEG Signal Processing Brain-Computer Interface Brain Stimulation Brain Modeling


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Performance variation in motor imagery brain–computer interface: a brief review M Ahn, SC Jun Journal of neuroscience methods 243, 103-110, 2015	366	2015
EEG datasets for motor imagery brain–computer interface H Cho, M Ahn, S Ahn, M Kwon, SC Jun GigaScience 6 (7), gix034, 2017	321	2017
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	263	2014
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	257	2016
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
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), 43933, 2017	203	2017
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	113	2017
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	112	2018
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
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, 606-637, 2013	98	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
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	86	2009
Steady-state somatosensory evoked potential for brain-computer interface—present and future S Ahn, K Kim, SC Jun Frontiers in human neuroscience 9, 179038, 2016	83	2016
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	80	2005
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
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	65	2012
A multi-scale computational model of the effects of TMS on motor cortex H Seo, N Schaworonkow, SC Jun, J Triesch F1000Research 5, 1945, 2017	58	2017
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
Relation between the electric field and activation of cortical neurons in transcranial electrical stimulation H Seo, SC Jun Brain Stimulation 12 (2), 275-289, 2019	46	2019
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	46	2012

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