| Classification of seizure and nonseizure EEG signals using empirical mode decomposition V Bajaj, RB Pachori IEEE Transactions on Information Technology in BioMedicine 16 (6), 1135-1142, 2012 | 552 | 2012 |
| Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions R Sharma, RB Pachori Expert Systems with Applications 42 (03), 1106-1117, 2015 | 443 | 2015 |
| Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study SR Nayak, DR Nayak, U Sinha, V Arora, RB Pachori Biomedical Signal Processing and Control 64 (102365), 1-12, 2021 | 428 | 2021 |
| A multivariate approach for patient specific EEG seizure detection using empirical wavelet transform A Bhattacharyya, RB Pachori IEEE Transactions on Biomedical Engineering 64 (09), 2003-2015, 2017 | 421 | 2017 |
| A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension M Sharma, RB Pachori, UR Acharya Pattern Recognition Letters 94, 172-179, 2017 | 390 | 2017 |
| Application of entropy measures on intrinsic mode functions for the automated identification of focal electroencephalogram signals R Sharma, RB Pachori, UR Acharya Entropy 17 (2), 669-691, 2015 | 342 | 2015 |
| Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions RB Pachori, S Patidar Computer Methods and Programs in Biomedicine 113 (2), 494-502, 2014 | 315 | 2014 |
| Classification of ictal and seizure-free EEG signals using fractional linear prediction V Joshi, RB Pachori, A Vijesh Biomedical Signal Processing and Control 9, 1-5, 2014 | 300 | 2014 |
| Automated diagnosis of glaucoma using empirical wavelet transform and correntropy features extracted from fundus images S Maheshwari, RB Pachori, UR Acharya IEEE Journal of Biomedical and Health Informatics 21 (03), 803-813, 2017 | 297 | 2017 |
| Discrimination between ictal and seizure-free EEG signals using empirical mode decomposition RB Pachori Research Letters in Signal Processing 2008 (Article ID 293056), 1-5, 2008 | 285 | 2008 |
| Tunable-Q wavelet transform based multiscale entropy measure for automated classification of epileptic EEG signals A Bhattacharyya, RB Pachori, A Upadhyay, UR Acharya Applied Sciences 7 (4), 385, 2017 | 281 | 2017 |
| Cross-subject emotion recognition using flexible analytic wavelet transform from EEG signals V Gupta, MD Chopda, RB Pachori IEEE Sensors Journal 19 (06), 2266-2274, 2019 | 276 | 2019 |
| Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition RB Pachori, V Bajaj Computer Methods and Programs in Biomedicine 104 (3), 373-381, 2011 | 276 | 2011 |
| 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 | 263 | 2018 |
| Automatic classification of sleep stages based on the time-frequency image of EEG signals V Bajaj, RB Pachori Computer Methods and Programs in Biomedicine 112 (3), 320-328, 2013 | 260 | 2013 |
| Automated diagnosis of epilepsy using key-point based local binary pattern of EEG signals AK Tiwari, RB Pachori, V Kanhangad, BK Panigrahi IEEE Journal of Biomedical and Health Informatics 21 (4), 888-896, 2017 | 245 | 2017 |
| An integrated index for the identification of focal electroencephalogram signals using discrete wavelet transform and entropy measures R Sharma, RB Pachori, UR Acharya Entropy 17 (8), 5218-5240, 2015 | 204 | 2015 |
| Automatic sleep stages classification based on iterative filtering of electroencephalogram signals R Sharma, RB Pachori, A Upadhyay Neural Computing and Applications 28 (10), 2959-2978, 2017 | 198 | 2017 |
| A sliding window common spatial pattern for enhancing motor imagery classification in EEG-BCI P Gaur, H Gupta, A Chowdhury, K McCreadie, RB Pachori, H Wang IEEE Transactions on Instrumentation and Measurement 70 (4002709), 1-9, 2021 | 195 | 2021 |
| Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals S Patidar, RB Pachori, UR Acharya Knowledge-Based Systems 82, 1-10, 2015 | 185 | 2015 |
