| Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study G Prasad, P Herman, D Coyle, S McDonough, J Crosbie Journal of neuroengineering and rehabilitation 7, 1-17, 2010 | 391 | 2010 |
| Comparative analysis of spectral approaches to feature extraction for EEG-based motor imagery classification P Herman, G Prasad, TM McGinnity, D Coyle IEEE Transactions on Neural Systems and Rehabilitation Engineering 16 (4 …, 2008 | 363 | 2008 |
| An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network G Leng, TM McGinnity, G Prasad Fuzzy sets and systems 150 (2), 211-243, 2005 | 349 | 2005 |
| A multi-class EEG-based BCI classification using multivariate empirical mode decomposition based filtering and Riemannian geometry P Gaur, RB Pachori, H Wang, G Prasad Expert Systems with Applications 95, 201-211, 2018 | 255 | 2018 |
| An on-line algorithm for creating self-organizing fuzzy neural networks G Leng, G Prasad, TM McGinnity Neural Networks 17 (10), 1477-1493, 2004 | 237 | 2004 |
| Design for self-organizing fuzzy neural networks based on genetic algorithms G Leng, TM McGinnity, G Prasad IEEE transactions on fuzzy systems 14 (6), 755-766, 2006 | 213 | 2006 |
| Statistical and computational intelligence techniques for inferential model development: a comparative evaluation and a novel proposition for fusion K Warne, G Prasad, S Rezvani, L Maguire Engineering applications of artificial intelligence 17 (8), 871-885, 2004 | 155 | 2004 |
| Electrophysiological signatures of intentional social coordination in the 10–12 Hz range M Naeem, G Prasad, DR Watson, JAS Kelso Neuroimage 59 (2), 1795-1803, 2012 | 148 | 2012 |
| Quantum neural network-based EEG filtering for a brain–computer interface V Gandhi, G Prasad, D Coyle, L Behera, TM McGinnity IEEE transactions on neural networks and learning systems 25 (2), 278-288, 2013 | 137 | 2013 |
| EEG-based mobile robot control through an adaptive brain–robot interface V Gandhi, G Prasad, D Coyle, L Behera, TM McGinnity IEEE Transactions on Systems, Man, and Cybernetics: Systems 44 (9), 1278-1285, 2014 | 136 | 2014 |
| A time-series prediction approach for feature extraction in a brain-computer interface D Coyle, G Prasad, TM McGinnity IEEE transactions on neural systems and rehabilitation engineering 13 (4 …, 2005 | 136 | 2005 |
| Adaptive learning with covariate shift-detection for motor imagery-based brain–computer interface H Raza, H Cecotti, Y Li, G Prasad Soft Computing 20, 3085-3096, 2016 | 126 | 2016 |
| EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments H Raza, G Prasad, Y Li Pattern Recognition 48 (3), 659-669, 2015 | 126 | 2015 |
| A local model networks based multivariable long-range predictive control strategy for thermal power plants G Prasad, E Swidenbank, BW Hogg Automatica 34 (10), 1185-1204, 1998 | 122 | 1998 |
| Faster self-organizing fuzzy neural network training and a hyperparameter analysis for a brain–computer interface D Coyle, G Prasad, TM McGinnity IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009 | 111 | 2009 |
| A neural net model-based multivariable long-range predictive control strategy applied in thermal power plant control G Prasad, E Swidenbank, BW Hogg IEEE Transactions on Energy Conversion 13 (2), 176-182, 1998 | 109 | 1998 |
| An empirical mode decomposition based filtering method for classification of motor-imagery EEG signals for enhancing brain-computer interface P Gaur, RB Pachori, H Wang, G Prasad 2015 International joint conference on neural networks (IJCNN), 1-7, 2015 | 106 | 2015 |
| Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface H Raza, D Rathee, SM Zhou, H Cecotti, G Prasad Neurocomputing 343, 154-166, 2019 | 103 | 2019 |
| An automatic subject specific intrinsic mode function selection for enhancing two-class EEG-based motor imagery-brain computer interface P Gaur, RB Pachori, H Wang, G Prasad IEEE Sensors Journal 19 (16), 6938-6947, 2019 | 97 | 2019 |
| A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual M Bucholc, X Ding, H Wang, DH Glass, H Wang, G Prasad, LP Maguire, ... Expert systems with applications 130, 157-171, 2019 | 94 | 2019 |
