| Deep-learning-aided detection for reconfigurable intelligent surfaces S Khan, KS Khan, N Haider, SY Shin arXiv preprint arXiv:1910.09136, 2019 | 68 | 2019 |
| Wind resource assessment using SODAR and meteorological mast–A case study of Pakistan KS Khan, M Tariq Renewable and Sustainable Energy Reviews 81, 2443-2449, 2018 | 57 | 2018 |
| Machine learning for 5G security: Architecture, recent advances, and challenges A Afaq, N Haider, MZ Baig, KS Khan, M Imran, I Razzak Ad Hoc Networks 123, 102667, 2021 | 38 | 2021 |
| Caching in heterogeneous ultradense 5G networks: A comprehensive cooperation approach P Lin, KS Khan, Q Song, A Jamalipour IEEE Vehicular technology magazine 14 (2), 22-32, 2019 | 31 | 2019 |
| Implementation of outcome based education in Pakistan: A step towards Washington Accord K Mahmood, KM Khan, KS Khan, S Kiani 2015 IEEE 7th international conference on engineering education (ICEED), 166-170, 2015 | 25 | 2015 |
| Towards AI-enabled traffic management in multipath TCP: A survey SJ Siddiqi, F Naeem, S Khan, KS Khan, M Tariq Computer Communications 181, 412-427, 2022 | 21 | 2022 |
| On the application of agglomerative hierarchical clustering for cache-assisted D2D networks KS Khan, Y Yin, A Jamalipour 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC …, 2019 | 21 | 2019 |
| IRS-empowered 6G networks: deployment strategies, performance optimization, and future research directions F Naeem, G Kaddoum, S Khan, KS Khan, N Adam IEEE Access 10, 118676-118696, 2022 | 18 | 2022 |
| Studies in Indian oil-seeds. V. The inheritance of characters in Indian unseed. FJF Shaw, K Khan, M Alam | 16 | 1931 |
| Symbol denoising in high order M-QAM using residual learning of deep CNN S Khan, KS Khan, SY Shin 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC …, 2019 | 13 | 2019 |
| Effect of nitrogen application on nodulation in inoculated chickpea (Cicer arietinum L.). J David, KS Khan Journal of Biological Sciences 1 (3), 87-89, 2001 | 13 | 2001 |
| Coverage analysis for multi-request association model (MRAM) in a caching ultra-dense network KS Khan, A Jamalipour IEEE Transactions on Vehicular Technology 68 (4), 3882-3889, 2019 | 12 | 2019 |
| Cross-layer MAC/routing protocol for reliable communication in Internet of Health Things UF Abbasi, N Haider, A Awang, KS Khan IEEE Open Journal of the Communications Society 2, 199-216, 2021 | 11 | 2021 |
| Smart-cluster-based distributed caching for fog-iot networks FS Abkenar, KS Khan, A Jamalipour IEEE Internet of Things Journal 8 (5), 3875-3884, 2020 | 11 | 2020 |
| Incentive-based caching and communication in a clustered D2D network KS Khan, A Naeem, A Jamalipour IEEE Internet of Things Journal 9 (5), 3313-3320, 2021 | 9 | 2021 |
| Resource allocation for IRS-assisted networks: A deep reinforcement learning approach S Ahmad, S Khan, KS Khan, F Naeem, M Tariq IEEE Communications Standards Magazine 7 (3), 48-55, 2023 | 7 | 2023 |
| SDP-IGD: An iterative power allocation technique for cluster-based multihop vehicular communications MZ Alam, I Adhicandra, KS Khan, A Jamalipour IEEE Transactions on Vehicular Technology 69 (7), 7908-7915, 2020 | 7 | 2020 |
| Accurate monitoring and fault detection in wind measuring devices through wireless sensor networks KS Khan, M Tariq Sensors 14 (11), 22140-22158, 2014 | 7 | 2014 |
| Deep-learning-aided detection for reconfigurable intelligent surfaces. arXiv 2019 S Khan, KS Khan, N Haider, SY Shin arXiv preprint arXiv:1910.09136, 0 | 7 | |
| Multi-link cache data retrieval for delivery phase in ultra dense small cell networks KS Khan, S Khan, A Jamalipour 2017 11th International Conference on Signal Processing and Communication …, 2017 | 4 | 2017 |
Saud KhanAustralian National University; CSIROVerified email at anu.edu.au
