| Predicting the compressive strength of self‐compacting concrete containing Class F fly ash using metaheuristic radial basis function neural network G Pazouki, EM Golafshani, A Behnood Structural Concrete 23 (2), 1191-1213, 2022 | 73 | 2022 |
| Predicting the compressive strength of self-compacting concrete containing fly ash using a hybrid artificial intelligence method EM Golafshani, G Pazouki Computers and Concrete, An International Journal 22 (4), 419-437, 2018 | 35 | 2018 |
| Fly ash-based geopolymer concrete's compressive strength estimation by applying artificial intelligence methods G Pazouki Measurement 203, 111916, 2022 | 22 | 2022 |
| Using a hybrid artificial intelligence method for estimating the compressive strength of recycled aggregate self-compacting concrete G Pazouki, A Pourghorban European Journal of Environmental and Civil Engineering 26 (12), 5569-5593, 2022 | 11 | 2022 |
| Anticipation of the compressive strength of steel fiber‐reinforced concrete by different types of artificial intelligence methods G Pazouki, A Pourghorban Structural Concrete 23 (6), 3834-3848, 2022 | 7 | 2022 |
| Using artificial intelligence methods to predict the compressive strength of concrete containing sugarcane bagasse ash G Pazouki, Z Tao, N Saeed, WH Kang Construction and Building Materials 409, 134047, 2023 | 2 | 2023 |
| Predicting the compressive strength of SCC containing Class F fly G Pazouki, EM Golafshani, A Behnood | | |
