| Predicting the compressive strength of concrete containing metakaolin with different properties using ANN MJ Moradi, M Khaleghi, J Salimi, V Farhangi, AM Ramezanianpour Measurement 183, 109790, 2021 | 125 | 2021 |
| The prediction of fire performance of concrete-filled steel tubes (CFST) using artificial neural network MJ Moradi, K Daneshvar, D Ghazi-Nader, H Hajiloo Thin-Walled Structures 161, 107499, 2021 | 78 | 2021 |
| Developing a library of shear walls database and the neural network based predictive meta-model MJ Moradi, MA Hariri-Ardebili Applied Sciences 9 (12), 2562, 2019 | 63 | 2019 |
| Studying the effect of low reactivity metakaolin on free and restrained shrinkage of high performance concrete J Salimi, AM Ramezanianpour, MJ Moradi Journal of Building Engineering 28, 101053, 2020 | 60 | 2020 |
| Applications of decision tree and random forest as tree-based machine learning techniques for analyzing the ultimate strain of spliced and non-spliced reinforcement bars H Dabiri, V Farhangi, MJ Moradi, M Zadehmohamad, M Karakouzian Applied Sciences 12 (10), 4851, 2022 | 46 | 2022 |
| Prediction of the load-bearing behavior of SPSW with rectangular opening by RBF network MJ Moradi, MM Roshani, A Shabani, M Kioumarsi Applied Sciences 10 (3), 1185, 2020 | 42 | 2020 |
| Application of artificial neural network to predict load bearing capacity and stiffness of perforated masonry walls M Khaleghi, J Salimi, V Farhangi, MJ Moradi, M Karakouzian CivilEng 2 (1), 48-67, 2021 | 38 | 2021 |
| Predicting the compressive strength of concrete containing binary supplementary cementitious material using machine learning approach N Moradi, MH Tavana, MR Habibi, M Amiri, MJ Moradi, V Farhangi Materials 15 (15), 5336, 2022 | 35 | 2022 |
| Evaluating the behaviour of centrally perforated unreinforced masonry walls: Applications of numerical analysis, machine learning, and stochastic methods M Khaleghi, J Salimi, V Farhangi, MJ Moradi, M Karakouzian Ain Shams Engineering Journal 13 (3), 101631, 2022 | 29 | 2022 |
| Response of low-percentage FRC slabs under impact loading: Experimental, numerical, and soft computing methods K Daneshvar, MJ Moradi, M Amooie, S Chen, G Mahdavi, ... Structures 27, 975-988, 2020 | 26 | 2020 |
| Strengthening of corroded reinforced concrete slabs under multi-impact loading: Experimental results and numerical analysis K Daneshvar, MJ Moradi, K Ahmadi, H Hajiloo Construction and Building Materials 284, 122650, 2021 | 25 | 2021 |
| Application of machine learning to predict the mechanical characteristics of concrete containing recycled plastic-based materials S Rezvan, MJ Moradi, H Dabiri, K Daneshvar, M Karakouzian, V Farhangi Applied Sciences 13 (4), 2033, 2023 | 22 | 2023 |
| Effects of impact loads on heated-and-cooled reinforced concrete slabs K Daneshvar, MJ Moradi, M Khaleghi, M Rezaei, V Farhangi, H Hajiloo Journal of Building Engineering 61, 105328, 2022 | 21 | 2022 |
| A Multi-Pier MP procedure for the non-linear analysis of in-plane loaded masonry walls H Pirsaheb, MJ Moradi, G Milani Engineering Structures 212, 110534, 2020 | 20 | 2020 |
| A Multi-Pier-Macro MPM method for the progressive failure analysis of perforated masonry walls in-plane loaded H Pirsaheb, P Wang, MJ Moradi, G Milani Engineering Failure Analysis 127, 105528, 2021 | 18 | 2021 |
| Improving the Punching Shear Strength of RC Slabs by FRP and Steel Sheets R Aghayari, MJ Moradi Journal of Rehabilitation in Civil Engineering 4 (1), 1-17, 2016 | 18 | 2016 |
| Effects of geogrid reinforcement on the backfill of integral bridge abutments V Farhangi, M Zadehmohamad, A Monshizadegan, MA Izadifar, ... Buildings 13 (4), 853, 2023 | 12 | 2023 |
| Dynamic behavior of corroded RC slabs with macro-level stochastic finite element simulations K Daneshvar, MJ Moradi, K Ahmadi, G Mahdavi, MA Hariri-Ardebili Engineering structures 239, 112056, 2021 | 12 | 2021 |
| A Multi-Pier MP method for the non-linear static analysis of out-of-plane loaded masonry walls H Pirsaheb, MJ Moradi, G Milani Engineering Structures 223, 111040, 2020 | 9 | 2020 |
| Application of artificial intelligence in predicting the residual mechanical properties of fiber reinforced concrete (FRC) after high temperatures V Farhangi, MJ Moradi, K Daneshvar, H Hajiloo Construction and Building Materials 411, 134609, 2024 | 7 | 2024 |
Visar FarhangiAssistant Teaching Professor | Northern Arizona UniversityVerified email at nau.edu
