| Cloud-assisted industrial internet of things (iiot)–enabled framework for health monitoring MS Hossain, G Muhammad Computer Networks 101, 192-202, 2016 | 914 | 2016 |
| 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 | 478 | 2019 |
| Emotion recognition using deep learning approach from audio–visual emotional big data MS Hossain, G Muhammad Information Fusion 49, 69-78, 2019 | 446 | 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 | 385 | 2019 |
| 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 | 351 | 2020 |
| Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: A review H Altaheri, G Muhammad, M Alsulaiman, SU Amin, GA Altuwaijri, W Abdul, ... Neural Computing and Applications 35 (20), 14681-14722, 2023 | 334 | 2023 |
| 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 | 328 | 2018 |
| A comprehensive survey of the Internet of Things (IoT) and AI-based smart healthcare F Alshehri, G Muhammad IEEE access 9, 3660-3678, 2020 | 314 | 2020 |
| 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 | 311 | 2019 |
| Emotion-aware connected healthcare big data towards 5G MS Hossain, G Muhammad IEEE Internet of Things Journal 5 (4), 2399-2406, 2018 | 300 | 2018 |
| 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 | 288 | 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 | 284 | 2017 |
| Passive copy move image forgery detection using undecimated dyadic wavelet transform G Muhammad, M Hussain, G Bebis Digital Investigation, 2012 | 278 | 2012 |
| Smart healthcare monitoring: a voice pathology detection paradigm for smart cities MS Hossain, G Muhammad, A Alamri Multimedia Systems 25 (5), 565-575, 2019 | 258 | 2019 |
| 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 | 243 | 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 | 242 | 2019 |
| A comprehensive survey on multimodal medical signals fusion for smart healthcare systems G Muhammad, F Alshehri, F Karray, A El Saddik, M Alsulaiman, TH Falk Information Fusion 76, 355-375, 2021 | 222 | 2021 |
| 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 | 217 | 2019 |
| Secure and provenance enhanced internet of health things framework: A blockchain managed federated learning approach MA Rahman, MS Hossain, MS Islam, NA Alrajeh, G Muhammad Ieee Access 8, 205071-205087, 2020 | 214 | 2020 |
| The impact of m-learning technology on students and educators HR Abachi, G Muhammad Computers in human behavior 30, 491-496, 2014 | 214 | 2014 |
M. Shamim HossainProfessor, Highly Cited Researcher, King Saud UniversityVerified email at ksu.edu.sa
