| Cloud-assisted industrial internet of things (iiot)–enabled framework for health monitoring MS Hossain, G Muhammad Computer Networks 101, 192-202, 2016 | 748 | 2016 |
| Emotion recognition using deep learning approach from audio–visual emotional big data MS Hossain, G Muhammad Information Fusion 49, 69-78, 2019 | 301 | 2019 |
| IoT big data analytics for smart homes with fog and cloud computing A Yassine, S Singh, MS Hossain, G Muhammad Future Generation Computer Systems 91, 563-573, 2019 | 292 | 2019 |
| Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion SU Amin, M Alsulaiman, G Muhammad, MA Mekhtiche, MS Hossain Future Generation computer systems 101, 542-554, 2019 | 272 | 2019 |
| Passive copy move image forgery detection using undecimated dyadic wavelet transform G Muhammad, M Hussain, G Bebis Digital Investigation, 2012 | 253 | 2012 |
| Explainable AI and mass surveillance system-based healthcare framework to combat COVID-I9 like pandemics MS Hossain, G Muhammad, N Guizani IEEE Network 34 (4), 126-132, 2020 | 236 | 2020 |
| Smart health solution integrating IoT and cloud: a case study of voice pathology monitoring G Muhammad, SKMM Rahman, A Alelaiwi, A Alamri IEEE Communications Magazine 55 (1), 69-73, 2017 | 224 | 2017 |
| Emotion-aware connected healthcare big data towards 5G MS Hossain, G Muhammad IEEE Internet of Things Journal 5 (4), 2399-2406, 2018 | 216 | 2018 |
| Smart healthcare monitoring: a voice pathology detection paradigm for smart cities MS Hossain, G Muhammad, A Alamri Multimedia Systems 25, 565-575, 2019 | 203 | 2019 |
| Automatic fruit classification using deep learning for industrial applications MS Hossain, M Al-Hammadi, G Muhammad IEEE transactions on industrial informatics 15 (2), 1027-1034, 2018 | 199 | 2018 |
| Image forgery detection using steerable pyramid transform and local binary pattern G Muhammad, MH Al-Hammadi, M Hussain, G Bebis Machine Vision and Applications 25, 985-995, 2014 | 198 | 2014 |
| Applying deep learning for epilepsy seizure detection and brain mapping visualization MS Hossain, SU Amin, M Alsulaiman, G Muhammad ACM Transactions on Multimedia Computing, Communications, and Applications …, 2019 | 176 | 2019 |
| Enforcing position-based confidentiality with machine learning paradigm through mobile edge computing in real-time industrial informatics AK Sangaiah, DV Medhane, T Han, MS Hossain, G Muhammad IEEE Transactions on Industrial Informatics 15 (7), 4189-4196, 2019 | 176 | 2019 |
| The impact of m-learning technology on students and educators HR Abachi, G Muhammad Computers in human behavior 30, 491-496, 2014 | 175 | 2014 |
| Cognitive smart healthcare for pathology detection and monitoring SU Amin, MS Hossain, G Muhammad, M Alhussein, MA Rahman IEEE Access 7, 10745-10753, 2019 | 162 | 2019 |
| Cervical cancer classification using convolutional neural networks and extreme learning machines A Ghoneim, G Muhammad, MS Hossain Future Generation Computer Systems 102, 643-649, 2020 | 147 | 2020 |
| Multilevel weighted feature fusion using convolutional neural networks for EEG motor imagery classification SU Amin, M Alsulaiman, G Muhammad, MA Bencherif, MS Hossain Ieee Access 7, 18940-18950, 2019 | 141 | 2019 |
| Voice pathology detection using deep learning on mobile healthcare framework M Alhussein, G Muhammad IEEE Access 6, 41034-41041, 2018 | 130 | 2018 |
| Cloud-assisted secure video transmission and sharing framework for smart cities MS Hossain, G Muhammad, W Abdul, B Song, BB Gupta Future Generation Computer Systems 83, 596-606, 2018 | 129 | 2018 |
| Cognitive IoT-cloud integration for smart healthcare: case study for epileptic seizure detection and monitoring M Alhussein, G Muhammad, MS Hossain, SU Amin Mobile Networks and Applications 23, 1624-1635, 2018 | 126 | 2018 |
M. Shamim HossainProfessor, Highly Cited Researcher, King Saud UniversityVerified email at ksu.edu.sa
