| 6G ecosystem: Current status and future perspective JR Bhat, SA Alqahtani IEEE Access 9, 43134-43167, 2021 | 270 | 2021 |
| A lightweight and robust secure key establishment protocol for internet of medical things in COVID-19 patients care M Masud, GS Gaba, S Alqahtani, G Muhammad, BB Gupta, P Kumar, ... IEEE Internet of Things Journal 8 (21), 15694-15703, 2020 | 215 | 2020 |
| Measuring and preventing COVID‐19 using the SIR model and machine learning in smart health care SA Alanazi, MM Kamruzzaman, M Alruwaili, N Alshammari, SA Alqahtani, ... Journal of healthcare engineering 2020 (1), 8857346, 2020 | 148 | 2020 |
| FinTech enablers, use cases, and role of future internet of things JR Bhat, SA AlQahtani, M Nekovee Journal of King Saud University-Computer and Information Sciences 35 (1), 87-101, 2023 | 119 | 2023 |
| Federated learning-aware multi-objective modeling and blockchain-enable system for IIoT applications A Lakhan, MA Mohammed, S Kadry, SA AlQahtani, MS Maashi, ... Computers and Electrical Engineering 100, 107839, 2022 | 54 | 2022 |
| AI-enabled mobile multimedia service instance placement scheme in mobile edge computing P Roy, S Sarker, MA Razzaque, MM Hassan, SA AlQahtani, G Aloi, ... Computer Networks 182, 107573, 2020 | 53 | 2020 |
| A novel QKD approach to enhance IIOT privacy and computational knacks KK Singamaneni, G Dhiman, S Juneja, G Muhammad, SA AlQahtani, ... Sensors 22 (18), 6741, 2022 | 50 | 2022 |
| Applying machine learning in intelligent sewage treatment: A case study of chemical plant in sustainable cities S Miao, C Zhou, SA AlQahtani, M Alrashoud, A Ghoneim, Z Lv Sustainable Cities and Society 72, 103009, 2021 | 49 | 2021 |
| Enhanced deep learning model for classification of retinal optical coherence tomography images E Hassan, S Elmougy, MR Ibraheem, MS Hossain, K AlMutib, A Ghoneim, ... Sensors 23 (12), 5393, 2023 | 48 | 2023 |
| Comparing different LTE scheduling schemes SA AlQahtani, M Alhassany 2013 9th international wireless communications and mobile computing …, 2013 | 47 | 2013 |
| Performance modeling and evaluation of novel scheduling algorithm for LTE networks SA AlQahtani, M AlHassany 2013 IEEE 12th International Symposium on Network Computing and Applications …, 2013 | 46 | 2013 |
| CROWD: crow search and deep learning based feature extractor for classification of Parkinson’s disease M Masud, P Singh, GS Gaba, A Kaur, R Alroobaea, M Alrashoud, ... ACM Transactions on Internet Technology (TOIT) 21 (3), 1-18, 2021 | 44 | 2021 |
| Multi-criteria handover mobility management in 5G cellular network MR Palas, MR Islam, P Roy, MA Razzaque, A Alsanad, SA AlQahtani, ... Computer Communications 174, 81-91, 2021 | 42 | 2021 |
| AFBNet: A Lightweight Adaptive Feature Fusion Module for Super-Resolution Algorithms. L Yin, L Wang, S Lu, R Wang, H Ren, A AlSanad, SA AlQahtani, Z Yin, ... CMES-Computer Modeling in Engineering & Sciences 140 (3), 2024 | 41 | 2024 |
| Deep learning-based multidimensional feature fusion for classification of ECG arrhythmia J Cui, L Wang, X He, VHC De Albuquerque, SA AlQahtani, MM Hassan Neural Computing and Applications, 1-15, 2023 | 38 | 2023 |
| Intelligent edge load migration in SDN-IIoT for smart healthcare H Babbar, S Rani, SA AlQahtani IEEE Transactions on Industrial Informatics 18 (11), 8058-8064, 2022 | 37 | 2022 |
| Convolution-Transformer for Image Feature Extraction. L Yin, L Wang, S Lu, R Wang, Y Yang, B Yang, S Liu, A AlSanad, ... CMES-Computer Modeling in Engineering & Sciences 141 (1), 2024 | 36 | 2024 |
| A route stability-based multipath QoS routing protocol in cognitive radio ad hoc networks S AlQahtani, A Alotaibi Wireless Networks 25, 2931-2951, 2019 | 35 | 2019 |
| Technology‐driven 5G enabled e‐healthcare system during COVID‐19 pandemic N Alshammari, MNI Sarker, MM Kamruzzaman, M Alruwaili, SA Alanazi, ... IET Communications 16 (5), 449-463, 2022 | 33 | 2022 |
| Pandemic management for diseases similar to COVID-19 using deep learning and 5G communications G Muhammad, S Alqahtani, A Alelaiwi Ieee Network 35 (3), 21-26, 2021 | 31 | 2021 |
Prof. Dr. Mohammad Mehedi HassanProfessor, Dept. of Information Systems, King Saud University, Riyadh, KSAVerified email at ksu.edu.sa
