| fNIRS-based brain-computer interfaces: a review N Naseer, KS Hong Frontiers in human neuroscience 9, 3, 2015 | 780 | 2015 |
| 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 | 291 | 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 | 260 | 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 (2), 555-564, 2014 | 217 | 2014 |
| Determining optimal feature-combination for LDA classification of functional near-infrared spectroscopy signals in brain-computer interface application N Naseer, FM Noori, NK Qureshi, KS Hong Frontiers in human neuroscience 10, 237, 2016 | 134 | 2016 |
| Reduction of delay in detecting initial dips from functional near-infrared spectroscopy signals using vector-based phase analysis KS Hong, N Naseer International Journal of Neural Systems 26 (03), 1650012, 2016 | 105 | 2016 |
| Analysis of different classification techniques for two-class functional near-infrared spectroscopy based brain-computer interface N Naseer, NK Qureshi, FM Noori, KS Hong Computational Intelligence and Neuroscience, 2016 | 104 | 2016 |
| Air University N Naseer Pakistan, 0 | 96 | |
| Decoding answers to four-choice questions using functional near infrared spectroscopy N Naseer, KS Hong Journal of Near Infrared Spectroscopy 23 (1), 23-31, 2015 | 87 | 2015 |
| Optimal feature selection from fNIRS signals using genetic algorithms for BCI FM Noori, N Naseer, NK Qureshi, H Nazeer, RA Khan Neuroscience letters 647, 61-66, 2017 | 85 | 2017 |
| Neuroergonomics: the brain at work and in everyday life H Ayaz, F Dehais Academic Press, 2018 | 78 | 2018 |
| fNIRS-based Neurorobotic Interface for gait rehabilitation RA Khan, N Naseer, NK Qureshi, FM Noori, H Nazeer, MU Khan Journal of neuroengineering and rehabilitation 15 (1), 1-17, 2018 | 73 | 2018 |
| 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 | 61 | 2019 |
| 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 | 45 | 2019 |
| Enhancing classification performance of functional near-infrared spectroscopy-brain–computer interface using adaptive estimation of general linear model coefficients NK Qureshi, N Naseer, FM Noori, H Nazeer, RA Khan, S Saleem Frontiers in neurorobotics, 33, 2017 | 44 | 2017 |
| Design, control and implementation of a ball on plate balancing system A Zeeshan, N Nauman, MJ Khan Applied Sciences and Technology (IBCAST), 2012 9th International Bhurban …, 2012 | 41 | 2012 |
| 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 | 34 | 2020 |
| Hybrid EEG-NIRS based BCI for quadcopter control MJ Khan, KS Hong, N Naseer, MR Bhutta 2015 54th Annual Conference of the Society of Instrument and Control …, 2015 | 31 | 2015 |
| Improving classification accuracy of covert yes/no response decoding using support vector machines: an fNIRS study N Naseer, KS Hong, MR Bhutta, MJ Khan 2014 International Conference on Robotics and Emerging Allied Technologies …, 2014 | 26 | 2014 |
| Functional near-infrared spectroscopy based discrimination of mental counting and no-control state for development of a brain-computer interface N Naseer, KS Hong 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 24 | 2013 |
Keum-Shik HongProfessor, School of Mechanical Engineering, Pusan National UniversityVerified email at pusan.ac.kr
