| fNIRS-based brain-computer interfaces: a review N Naseer, KS Hong Frontiers in human neuroscience 9, 3, 2015 | 1179 | 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 | 473 | 2011 |
| Sliding-mode antisway control of an offshore container crane QH Ngo, KS Hong IEEE/ASME transactions on mechatronics 17 (2), 201-209, 2010 | 370 | 2010 |
| Modified skyhook control of semi-active suspensions: A new model, gain scheduling, and hardware-in-the-loop tuning KS Hong, HC Sohn, JK Hedrick Journal of Dynamic Systems, Measurement, and Control 124 (1), 158-167, 2002 | 360 | 2002 |
| 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 | 354 | 2013 |
| Classification of prefrontal and motor cortex signals for three-class fNIRS–BCI KS Hong, N Naseer, YH Kim Neuroscience letters 587, 87-92, 2015 | 325 | 2015 |
| 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 | 322 | 2018 |
| 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 | 322 | 2014 |
| Hybrid brain–computer interface techniques for improved classification accuracy and increased number of commands: a review KS Hong, MJ Khan Frontiers in neurorobotics 11, 35, 2017 | 312 | 2017 |
| 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 (2), 555-564, 2014 | 274 | 2014 |
| Hybrid EEG–fNIRS-based eight-command decoding for BCI: application to quadcopter control MJ Khan, KS Hong Frontiers in neurorobotics 11, 6, 2017 | 269 | 2017 |
| Concurrent fNIRS and EEG for brain function investigation: a systematic, methodology-focused review R Li, D Yang, F Fang, KS Hong, AL Reiss, Y Zhang Sensors 22 (15), 5865, 2022 | 242 | 2022 |
| Passive BCI based on drowsiness detection: an fNIRS study MJ Khan, KS Hong Biomedical optics express 6 (10), 4063-4078, 2015 | 238 | 2015 |
| Vortex-induced vibrations and control of marine risers: A review KS Hong, UH Shah Ocean Engineering 152, 300-315, 2018 | 218 | 2018 |
| Adaptive sliding mode control of container cranes QH Ngo, KS Hong IET control theory & applications 6 (5), 662-668, 2012 | 215 | 2012 |
| 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 | 215 | 2010 |
| 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 | 207 | 2007 |
| 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 | 204 | 1994 |
| Optical imaging and spectroscopy for the study of the human brain: status report H Ayaz, WB Baker, G Blaney, DA Boas, H Bortfeld, K Brady, J Brake, ... Neurophotonics 9 (S2), S24001, 2022 | 197 | 2022 |
| 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), 2013 | 183 | 2013 |
Noman NaseerProfessor of Brain-Controlled Robotics; Air University, IslamabadVerified email at au.edu.pk
