fNIRS-based brain-computer interfaces: a review N Naseer, KS Hong Frontiers in human neuroscience 9, 3, 2015 | 842 | 2015 |
Robust adaptive boundary control of a flexible marine riser with vessel dynamics W He, SS Ge, BVE How, YS Choo, KS Hong Automatica 47 (4), 722-732, 2011 | 396 | 2011 |
Modified skyhook control of semi-active suspensions: A new model, gain scheduling, and hardware-in-the-loop tuning KS Hong, HC Sohn, JK Hedrick J. Dyn. Sys., Meas., Control 124 (1), 158-167, 2002 | 339 | 2002 |
Sliding-mode antisway control of an offshore container crane QH Ngo, KS Hong IEEE/ASME transactions on mechatronics 17 (2), 201-209, 2010 | 324 | 2010 |
Classification of functional near-infrared spectroscopy signals corresponding to the right-and left-wrist motor imagery for development of a brain–computer interface N Naseer, KS Hong Neuroscience letters 553, 84-89, 2013 | 302 | 2013 |
Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface MJ Khan, MJ Hong, KS Hong Frontiers in human neuroscience 8, 244, 2014 | 285 | 2014 |
Classification of prefrontal and motor cortex signals for three-class fNIRS–BCI KS Hong, N Naseer, YH Kim Neuroscience letters 587, 87-92, 2015 | 275 | 2015 |
Online binary decision decoding using functional near-infrared spectroscopy for the development of brain–computer interface N Naseer, MJ Hong, KS Hong Experimental brain research 232, 555-564, 2014 | 231 | 2014 |
Hybrid brain–computer interface techniques for improved classification accuracy and increased number of commands: a review KS Hong, MJ Khan Frontiers in neurorobotics, 35, 2017 | 223 | 2017 |
Passive BCI based on drowsiness detection: an fNIRS study MJ Khan, KS Hong Biomedical optics express 6 (10), 4063-4078, 2015 | 208 | 2015 |
Hybrid EEG–fNIRS-based eight-command decoding for BCI: application to quadcopter control MJ Khan, KS Hong Frontiers in neurorobotics 11, 6, 2017 | 198 | 2017 |
Adaptive sliding mode control of container cranes QH Ngo, KS Hong IET control theory & applications 6 (5), 662-668, 2012 | 198 | 2012 |
Feature extraction and classification methods for hybrid fNIRS-EEG brain-computer interfaces KS Hong, MJ Khan, MJ Hong Frontiers in human neuroscience 12, 246, 2018 | 196 | 2018 |
Approximation-based adaptive tracking control of pure-feedback nonlinear systems with multiple unknown time-varying delays M Wang, SS Ge, KS Hong IEEE transactions on neural networks 21 (11), 1804-1816, 2010 | 195 | 2010 |
Direct adaptive control of parabolic systems: Algorithm synthesis and convergence and stability analysis KS Hong, J Bentsman IEEE Transactions on Automatic control 39 (10), 2018-2033, 1994 | 191 | 1994 |
A feedback linearization control of container cranes: Varying rope length H Park, DK Chwa, KS Hong International Journal of Control, Automation, and Systems 5 (4), 379-387, 2007 | 189 | 2007 |
Anti-sway control of container cranes: inclinometer, observer, and state feedback YS Kim, KS Hong, SK Sul International Journal of Control, Automation, and Systems 2 (4), 435-449, 2004 | 168 | 2004 |
Robust adaptive boundary control of an axially moving string under a spatiotemporally varying tension KJ Yang, KS Hong, F Matsuno Journal of Sound and Vibration 273 (4-5), 1007-1029, 2004 | 167 | 2004 |
Noise reduction in functional near-infrared spectroscopy signals by independent component analysis H Santosa, M Jiyoun Hong, SP Kim, KS Hong Review of Scientific Instruments 84 (7), 073106, 2013 | 156 | 2013 |
Kalman estimator-and general linear model-based on-line brain activation mapping by near-infrared spectroscopy XS Hu, KS Hong, SS Ge, MY Jeong Biomedical engineering online 9 (1), 1-15, 2010 | 151 | 2010 |