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 | 304 | 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, 275683, 2017 | 255 | 2017 |
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 | 241 | 2018 |
Hybrid EEG–fNIRS-based eight-command decoding for BCI: application to quadcopter control MJ Khan, KS Hong Frontiers in neurorobotics 11, 6, 2017 | 223 | 2017 |
Passive BCI based on drowsiness detection: an fNIRS study MJ Khan, KS Hong Biomedical Optics Express 6 (10), 4063-4078, 2015 | 219 | 2015 |
Alantolactone induces apoptosis in HepG2 cells through GSH depletion, inhibition of STAT3 activation, and mitochondrial dysfunction M Khan, T Li, MK Ahmad Khan, A Rasul, F Nawaz, M Sun, Y Zheng, T Ma BioMed research international 2013 (1), 719858, 2013 | 122 | 2013 |
Enhanced drowsiness detection using deep learning: an fNIRS study MA Tanveer, MJ Khan, MJ Qureshi, N Naseer, KS Hong IEEE access 7, 137920-137929, 2019 | 99 | 2019 |
Enhanced accuracy for multiclass mental workload detection using long short-term memory for brain–computer interface U Asgher, K Khalil, MJ Khan, R Ahmad, SI Butt, Y Ayaz, N Naseer, S Nazir Frontiers in neuroscience 14, 584, 2020 | 74 | 2020 |
An adaptive multi-robot therapy for improving joint attention and imitation of ASD children S Ali, F Mehmood, D Dancey, Y Ayaz, MJ Khan, N Naseer, RDC Amadeu, ... IEEE Access 7, 81808-81825, 2019 | 71 | 2019 |
Quadcopter flight dynamics M Khan International journal of scientific & technology research 3 (8), 130-135, 2014 | 69 | 2014 |
Early detection of hemodynamic responses using EEG: a hybrid EEG-fNIRS study MJ Khan, U Ghafoor, KS Hong Frontiers in Human Neuroscience 12, 479, 2018 | 65 | 2018 |
Brain–machine interfaces using functional near-infrared spectroscopy: a review KS Hong, U Ghafoor, MJ Khan Artificial Life and Robotics 25, 204-218, 2020 | 55 | 2020 |
Design, control and implementation of a ball on plate balancing system A Zeeshan, N Nauman, MJ Khan Proceedings of 2012 9th International Bhurban Conference on Applied Sciences …, 2012 | 48 | 2012 |
Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis H Nazeer, N Naseer, RA Khan, FM Noori, NK Qureshi, US Khan, MJ Khan Journal of Neural Engineering 17 (5), 056025, 2020 | 43 | 2020 |
Hybrid EEG-NIRS based BCI for quadcopter control MJ Khan, KS Hong, N Naseer, MR Bhutta Society of Instrument and Control Engineers of Japan (SICE), 2015 54th …, 2015 | 38 | 2015 |
Prediction of drag force on vehicles in a platoon configuration using machine learning F Jaffar, T Farid, M Sajid, Y Ayaz, MJ Khan IEEE Access 8, 201823-201834, 2020 | 36 | 2020 |
Assessment and classification of mental workload in the prefrontal cortex (PFC) using fixed-value modified beer-lambert law U Asgher, R Ahmad, N Naseer, Y Ayaz, MJ Khan, MK Amjad Ieee Access 7, 143250-143262, 2019 | 34 | 2019 |
Convolutional neural networks ensemble model for neonatal seizure detection MA Tanveer, MJ Khan, H Sajid, N Naseer Journal of Neuroscience Methods 358, 109197, 2021 | 33 | 2021 |
Enhanced performance for multi-forearm movement decoding using hybrid IMU–SEMG interface W Shahzad, Y Ayaz, MJ Khan, N Naseer, M Khan Frontiers in neurorobotics 13, 43, 2019 | 33 | 2019 |
Analyzing classification performance of fNIRS-BCI for gait rehabilitation using deep neural networks H Hamid, N Naseer, H Nazeer, MJ Khan, RA Khan, U Shahbaz Khan Sensors 22 (5), 1932, 2022 | 32 | 2022 |