| 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 | 204 | 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 | 180 | 2022 |
| 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 | 163 | 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 | 145 | 2020 |
| 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 | 128 | 2021 |
| 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 | 124 | 2021 |
| Comparative study of supervised machine learning algorithms for predicting the compressive strength of concrete at high temperature A Ahmad, KA Ostrowski, M Maślak, F Farooq, I Mehmood, A Nafees Materials 14 (15), 4222, 2021 | 112 | 2021 |
| Plastic waste management strategies and their environmental aspects: A scientometric analysis and comprehensive review S Huang, H Wang, W Ahmad, A Ahmad, N Ivanovich Vatin, AM Mohamed, ... International Journal of Environmental Research and Public Health 19 (8), 4556, 2022 | 105 | 2022 |
| 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 | 91 | 2022 |
| Sustainable approach of using sugarcane bagasse ash in cement-based composites: A systematic review W Ahmad, A Ahmad, KA Ostrowski, F Aslam, P Joyklad, P Zajdel Case Studies in Construction Materials 15, e00698, 2021 | 88 | 2021 |
| A comprehensive overview of geopolymer composites: A bibliometric analysis and literature review H Yang, L Liu, W Yang, H Liu, W Ahmad, A Ahmad, F Aslam, P Joyklad Case Studies in Construction Materials 16, e00830, 2022 | 87 | 2022 |
| Application of advanced machine learning approaches to predict the compressive strength of concrete containing supplementary cementitious materials W Ahmad, A Ahmad, KA Ostrowski, F Aslam, P Joyklad, P Zajdel Materials 14 (19), 5762, 2021 | 81 | 2021 |
| Application of novel machine learning techniques for predicting the surface chloride concentration in concrete containing waste material A Ahmad, F Farooq, KA Ostrowski, K Śliwa-Wieczorek, S Czarnecki Materials 14 (9), 2297, 2021 | 78 | 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 | 77 | 2021 |
| 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 | 72 | 2021 |
| An experimental and empirical study on the use of waste marble powder in construction material M Sufian, S Ullah, KA Ostrowski, A Ahmad, A Zia, K Śliwa-Wieczorek, ... Materials 14 (14), 3829, 2021 | 71 | 2021 |
| Machine learning prediction models to evaluate the strength of recycled aggregate concrete X Yuan, Y Tian, W Ahmad, A Ahmad, KI Usanova, AM Mohamed, ... Materials 15 (8), 2823, 2022 | 60 | 2022 |
| Predicting the mechanical properties of RCA-based concrete using supervised machine learning algorithms M Shang, H Li, A Ahmad, W Ahmad, KA Ostrowski, F Aslam, P Joyklad, ... Materials 15 (2), 647, 2022 | 57 | 2022 |
| Application of soft computing techniques to predict the strength of geopolymer composites Q Wang, W Ahmad, A Ahmad, F Aslam, A Mohamed, NI Vatin Polymers 14 (6), 1074, 2022 | 55 | 2022 |
| Computation of high-performance concrete compressive strength using standalone and ensembled machine learning techniques Y Xu, W Ahmad, A Ahmad, KA Ostrowski, M Dudek, F Aslam, P Joyklad Materials 14 (22), 7034, 2021 | 55 | 2021 |
Waqas AhmadCOMSATS University Islamabad, Abbottabad, PakistanVerified email at cuiatd.edu.pk
