| 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 | 200 | 2020 |
| 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 | 83 | 2021 |
| A comprehensive review on fire damage assessment of reinforced concrete structures D Qin, PK Gao, F Aslam, M Sufian, H Alabduljabbar Case Studies in Construction Materials 16, e00843, 2022 | 81 | 2022 |
| Compressive strength of steel fiber-reinforced concrete employing supervised machine learning techniques Y Li, Q Zhang, P Kamiński, AF Deifalla, M Sufian, A Dyczko, NB Kahla, ... Materials 15 (12), 4209, 2022 | 60 | 2022 |
| Advancements in low-carbon concrete as a construction material for the sustainable built environment F Althoey, WS Ansari, M Sufian, AF Deifalla Developments in the Built Environment, 100284, 2023 | 58 | 2023 |
| Flexural Strength Prediction of Steel Fiber-Reinforced Concrete Using Artificial Intelligence MA Dong Zheng, Rongxing Wu, Muhammad Sufian , Nabil Ben Kahla, Miniar Atig ... Materials 15 (Importance of Machine Intelligence), 21, 2022 | 49* | 2022 |
| Experimental investigation and AI prediction modelling of ceramic waste powder concrete–An approach towards sustainable construction J Yang, P Jiang, SA Suhail, M Sufian, AF Deifalla Journal of Materials Research and Technology 23, 3676-3696, 2023 | 35 | 2023 |
| A comprehensive review of incorporating steel fibers of waste tires in cement composites and its applications A Zia, Z Pu, I Holly, T Umar, MAUR Tariq, M Sufian Materials 15 (21), 7420, 2022 | 30 | 2022 |
| Potential use of wastewater treatment plant sludge in fabrication of burnt clay bricks F Amin, S Abbas, W Abbass, A Salmi, A Ahmed, D Saeed, M Sufian, ... Sustainability 14 (11), 6711, 2022 | 20 | 2022 |
| Predicting parameters and sensitivity assessment of nano-silica-based fiber-reinforced concrete: a sustainable construction material MN Amin, K Khan, M Sufian, QMS Al-Ahmad, AF Deifalla, F Alsharari Journal of Materials Research and Technology 23, 3943-3960, 2023 | 14 | 2023 |
| Application of machine learning algorithms to evaluate the influence of various parameters on the flexural strength of ultra-high-performance concrete Y Qian, M Sufian, A Hakamy, A Farouk Deifalla, A El-said Frontiers in Materials 9, 1114510, 2023 | 14 | 2023 |
| Strength evaluation of eco-friendly waste-derived self-compacting concrete via interpretable genetic-based machine learning models Z Chen, B Iftikhar, A Ahmad, Y Dodo, MA Abuhussain, F Althoey, M Sufian Materials Today Communications 37, 107356, 2023 | 10 | 2023 |
| Advanced machine learning algorithms to evaluate the effects of the raw ingredients on flowability and compressive strength of ultra-high-performance concrete Y Qian, M Sufian, O Accouche, M Azab Plos one 17 (12), e0278161, 2022 | 9 | 2022 |
| Machine learning-based evaluation of parameters of high-strength concrete and raw material interaction at elevated temperatures G Chen, SA Suhail, A Bahrami, M Sufian, M Azab Frontiers in Materials 10, 1187094, 2023 | 7 | 2023 |
| A scientometric review of the literature on the incorporation of steel fibers in ultra-high-performance concrete with research mapping knowledge W Zheng, MN Amin, K Khan, M Sufian, AF Deifalla Reviews on Advanced Materials Science 62 (1), 20220310, 2023 | 6 | 2023 |
| Exploring the potential of agricultural waste as an additive in ultra-high-performance concrete for sustainable construction: A comprehensive review J Zhao, M Sufian, MA Abuhussain, F Althoey, AF Deifalla Reviews on Advanced Materials Science 63 (1), 20230181, 2024 | 5 | 2024 |
| Compressive strength of steel fiber-reinforced concrete employing supervised machine learning techniques. Materials 15 (12): 4209 Y Li, Q Zhang, P Kamiński, AF Deifalla, M Sufian, A Dyczko, NB Kahla, ... | 5 | 2022 |
| An Experimental and Empirical Study on the Use of Waste Marble Powder in Construction Material. Materials 2021, 14, 3829 M Sufian, S Ullah, KA Ostrowski, A Ahmad, A Zia, K Śliwa-Wieczorek, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | 5 | 2021 |
| Scientometric analysis of flood forecasting for Asia region and discussion on machine learning methods P Li, Y Zhao, M Sufian, AF Deifalla Open Geosciences 15 (1), 20220475, 2023 | 4 | 2023 |
| Predicting High-Strength Concrete’s Compressive Strength: A Comparative Study of Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Response Surface Methodology T Li, J Yang, P Jiang, AH AlAteah, A Alsubeai, AM Alfares, M Sufian Materials 17 (18), 4533, 2024 | 2 | 2024 |