| Machine learning techniques to detect and forecast the daily total COVID‐19 infected and deaths cases under different lockdown types T Saba, I Abunadi, MN Shahzad, AR Khan Microscopy Research and Technique 84 (7), 1462-1474, 2021 | 83 | 2021 |
| A note on activation energy and magnetic dipole aspects for Cross nanofluid subjected to cylindrical surface WA Khan, M Ali, M Shahzad, F Sultan, M Irfan, Z Asghar Applied Nanoscience 10, 3235-3244, 2020 | 65 | 2020 |
| Political Brand: trusting a candidate in the age of mistrust MA Ahmed, SA Lodhi, MN Shahzad Journal of Business and Retail Management Research 5 (2), 2012 | 36 | 2012 |
| Comparing TL-Moments, L-Moments and conventional moments of dagum distribution by simulated data MN Shahzad, Z Asghar Revista Colombiana de Estadística 36 (1), 79-93, 2013 | 35 | 2013 |
| Parameter estimation of power function distribution with TL-moments M Naveed-Shahzad, Z Asghar, F Shehzad, M Shahzadi Revista Colombiana de Estadística 38 (2), 321-334, 2015 | 27 | 2015 |
| Nurses in double trouble: Antecedents of job burnout in nursing profession MN Shahzad, MA Ahmed, B Akram Pakistan journal of medical sciences 35 (4), 934, 2019 | 25 | 2019 |
| Transmuted Dagum distribution: A more flexible and broad shaped hazard function model MN Shahzad, Z Asghar Hacettepe Journal of Mathematics and Statistics 45 (1), 227-244, 2016 | 22 | 2016 |
| Determinants and influences on students career choice MN Shahzad, ST Zahra, MA Ahmed University Journal of Management and Social Science 4 (3), 9-30, 2014 | 21 | 2014 |
| Transmuted power function distribution: A more flexible distribution M Naveed Shahzad, Z Asghar Journal of Statistics and Management Systems 19 (4), 519-539, 2016 | 20 | 2016 |
| Machine learning for post‐traumatic stress disorder identification utilizing resting‐state functional magnetic resonance imaging T Saba, A Rehman, MN Shahzad, R Latif, SA Bahaj, J Alyami Microscopy Research and Technique 85 (6), 2083-2094, 2022 | 18 | 2022 |
| Identifying patients with PTSD utilizing resting-state fMRI data and neural network approach MN Shahzad, H Ali, T Saba, A Rehman, H Kolivand, SA Bahaj IEEE Access 9, 107941-107954, 2021 | 15 | 2021 |
| Beta exponentiated modified Weibull distribution: Properties and application MN Shahzad, E Ullah, A Hussanan Symmetry 11 (6), 781, 2019 | 14 | 2019 |
| Application of regional rainfall frequency analysis on seven sites of Sindh, Pakistan Z Hussain, MN Shahzad, K Abbas KSCE Journal of Civil Engineering 21, 1812-1819, 2017 | 14 | 2017 |
| Parameter estimation of Singh–Maddala distribution by moments MN Shahzad, Z Asghar International Journal of Advanced Statistics and Probability 1 (3), 121-131, 2013 | 11 | 2013 |
| On a bimodal Birnbaum–Saunders distribution with applications to lifetime data R Vila, J Leão, H Saulo, MN Shahzad, M Santos-Neto | 10 | 2020 |
| Identifying the Symptom Severity in Obsessive‐Compulsive Disorder for Classification and Prediction: An Artificial Neural Network Approach MN Shahzad, M Suleman, MA Ahmed, A Riaz, K Fatima Behavioural neurology 2020 (1), 2678718, 2020 | 10 | 2020 |
| The role of" radical change" in medium of instruction and its impact on learning MN Shahzad, S Sajjad, MA Ahmed, Z Asghar Journal of Language Teaching and Research 4 (1), 36, 2013 | 10 | 2013 |
| Transmutation of the two parameters Rayleigh distribution E Vllah, MN Shahazad International Journal of Advanced Statistics and Probability 4 (2), 95-101, 2016 | 6 | 2016 |
| Parameter estimation of power function distribution with moments Z Asghar, MN Shahzad, F Shehzad World Applied Science Journal 26, 205-212, 2013 | 6 | 2013 |
| A new hybrid ARAR and neural network model for multi-step ahead wind speed forecasting in three regions of Pakistan MN Shahzad, S Kanwal, A Hussanan IEEE Access 8, 199382-199392, 2020 | 4 | 2020 |
