| Predictive modeling for sustainable high-performance concrete from industrial wastes: A comparison and optimization of models using ensemble learners F Farooq, W Ahmed, A Akbar, F Aslam, R Alyousef Journal of Cleaner Production 292, 126032, 2021 | 352 | 2021 |
| Predicting the compressive strength of concrete with fly ash admixture using machine learning algorithms H Song, A Ahmad, F Farooq, KA Ostrowski, M Maślak, S Czarnecki, ... Construction and Building Materials 308, 125021, 2021 | 313 | 2021 |
| Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques A Ahmad, W Ahmad, F Aslam, P Joyklad Case Studies in Construction Materials 16, e00840, 2022 | 273 | 2022 |
| A comparative study of random forest and genetic engineering programming for the prediction of compressive strength of high strength concrete (HSC) F Farooq, M Nasir Amin, K Khan, M Rehan Sadiq, MF Javed, F Aslam, ... Applied Sciences 10 (20), 7330, 2020 | 246 | 2020 |
| Geopolymer concrete as sustainable material: A state of the art review F Farooq, X Jin, MF Javed, A Akbar, MI Shah, F Aslam, R Alyousef Construction and Building Materials 306, 124762, 2021 | 242 | 2021 |
| Prediction of compressive strength of fly ash based concrete using individual and ensemble algorithm A Ahmad, F Farooq, P Niewiadomski, K Ostrowski, A Akbar, F Aslam, ... Materials 14 (4), 794, 2021 | 232 | 2021 |
| Effect of coconut fiber length and content on properties of high strength concrete W Ahmad, SH Farooq, M Usman, M Khan, A Ahmad, F Aslam, RA Yousef, ... Materials 13 (5), 1075, 2020 | 201 | 2020 |
| Applications of gene expression programming for estimating compressive strength of high‐strength concrete F Aslam, F Farooq, MN Amin, K Khan, A Waheed, A Akbar, MF Javed, ... Advances in Civil Engineering 2020 (1), 8850535, 2020 | 201 | 2020 |
| Compressive strength of fly‐ash‐based geopolymer concrete by gene expression programming and random forest MA Khan, SA Memon, F Farooq, MF Javed, F Aslam, R Alyousef Advances in Civil Engineering 2021 (1), 6618407, 2021 | 199 | 2021 |
| Compressive strength prediction via gene expression programming (GEP) and artificial neural network (ANN) for concrete containing RCA A Ahmad, K Chaiyasarn, F Farooq, W Ahmad, S Suparp, F Aslam Buildings 11 (8), 324, 2021 | 179 | 2021 |
| Applications of gene expression programming and regression techniques for estimating compressive strength of bagasse ash based concrete MF Javed, MN Amin, MI Shah, K Khan, B Iftikhar, F Farooq, F Aslam, ... Crystals 10 (9), 737, 2020 | 167 | 2020 |
| A scientometric review of waste material utilization in concrete for sustainable construction W Ahmad, A Ahmad, KA Ostrowski, F Aslam, P Joyklad Case Studies in Construction Materials 15, e00683, 2021 | 161 | 2021 |
| Predictive modeling of mechanical properties of silica fume-based green concrete using artificial intelligence approaches: MLPNN, ANFIS, and GEP A Nafees, MF Javed, S Khan, K Nazir, F Farooq, F Aslam, MA Musarat, ... Materials 14 (24), 7531, 2021 | 141 | 2021 |
| Evaluating the influence of fly ash and waste glass on the characteristics of coconut fibers reinforced concrete F Aslam, O Zaid, F Althoey, SH Alyami, SMA Qaidi, J de Prado Gil, ... Structural Concrete 24 (2), 2440-2459, 2023 | 140 | 2023 |
| Sugarcane bagasse ash-based engineered geopolymer mortar incorporating propylene fibers A Akbar, F Farooq, M Shafique, F Aslam, R Alyousef, H Alabduljabbar Journal of Building Engineering 33, 101492, 2021 | 135 | 2021 |
| A systematic review of waste materials in cement-based composites for construction applications X Li, D Qin, Y Hu, W Ahmad, A Ahmad, F Aslam, P Joyklad Journal of Building Engineering 45, 103447, 2022 | 130 | 2022 |
| Prediction of geopolymer concrete compressive strength using novel machine learning algorithms A Ahmad, W Ahmad, K Chaiyasarn, KA Ostrowski, F Aslam, P Zajdel, ... Polymers 13 (19), 3389, 2021 | 123 | 2021 |
| Potential use of recycled plastic and rubber aggregate in cementitious materials for sustainable construction: A review R Alyousef, W Ahmad, A Ahmad, F Aslam, P Joyklad, H Alabduljabbar Journal of Cleaner Production 329, 129736, 2021 | 117 | 2021 |
| New prediction model for the ultimate axial capacity of concrete-filled steel tubes: An evolutionary approach MF Javed, F Farooq, SA Memon, A Akbar, MA Khan, F Aslam, R Alyousef, ... Crystals 10 (9), 741, 2020 | 117 | 2020 |
| Predictive modeling of compressive strength of sustainable rice husk ash concrete: Ensemble learner optimization and comparison B Iftikhar, SC Alih, M Vafaei, MA Elkotb, M Shutaywi, MF Javed, ... Journal of Cleaner Production 348, 131285, 2022 | 115 | 2022 |
Prof. Ahmed B. ShuraimKing Saud Universityכתובת אימייל מאומתת בדומיין ksu.edu.sa