| Application of several optimization techniques for estimating TBM advance rate in granitic rocks DJ Armaghani, M Koopialipoor, A Marto, S Yagiz Journal of Rock Mechanics and Geotechnical Engineering 11 (4), 779-789, 2019 | 213 | 2019 |
| Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions M Koopialipoor, D Jahed Armaghani, A Hedayat, A Marto, B Gordan Soft Computing 23, 5913-5929, 2019 | 213 | 2019 |
| Three hybrid intelligent models in estimating flyrock distance resulting from blasting M Koopialipoor, A Fallah, DJ Armaghani, A Azizi, ET Mohamad Engineering with Computers 35, 243-256, 2019 | 176 | 2019 |
| Prediction of cement-based mortars compressive strength using machine learning techniques PG Asteris, M Koopialipoor, DJ Armaghani, EA Kotsonis, PB Lourenço Neural Computing and Applications 33 (19), 13089-13121, 2021 | 166 | 2021 |
| Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance M Koopialipoor, A Fahimifar, EN Ghaleini, M Momenzadeh, ... Engineering with Computers 36, 345-357, 2020 | 166 | 2020 |
| Predicting tunnel boring machine performance through a new model based on the group method of data handling M Koopialipoor, SS Nikouei, A Marto, A Fahimifar, D Jahed Armaghani, ... Bulletin of Engineering Geology and the Environment 78, 3799-3813, 2019 | 161 | 2019 |
| A neuro-genetic predictive model to approximate overbreak induced by drilling and blasting operation in tunnels M Koopialipoor, D Jahed Armaghani, M Haghighi, EN Ghaleini Bulletin of Engineering Geology and the Environment 78, 981-990, 2019 | 150 | 2019 |
| Deep neural network and whale optimization algorithm to assess flyrock induced by blasting H Guo, J Zhou, M Koopialipoor, D Jahed Armaghani, MM Tahir Engineering with Computers 37, 173-186, 2021 | 146 | 2021 |
| Application of deep neural networks in predicting the penetration rate of tunnel boring machines M Koopialipoor, H Tootoonchi, D Jahed Armaghani, ... Bulletin of Engineering Geology and the Environment 78, 6347-6360, 2019 | 143 | 2019 |
| A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network J Zhou, N Aghili, EN Ghaleini, DT Bui, MM Tahir, M Koopialipoor Engineering with Computers 36, 713-723, 2020 | 121 | 2020 |
| Invasive weed optimization technique-based ANN to the prediction of rock tensile strength L Huang, PG Asteris, M Koopialipoor, DJ Armaghani, MM Tahir Applied Sciences 9 (24), 5372, 2019 | 113 | 2019 |
| A combination of artificial bee colony and neural network for approximating the safety factor of retaining walls EN Ghaleini, M Koopialipoor, M Momenzadeh, ME Sarafraz, ... Engineering with Computers 35, 647-658, 2019 | 112 | 2019 |
| A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling BT Pham, MD Nguyen, T Nguyen-Thoi, LS Ho, M Koopialipoor, NK Quoc, ... Transportation Geotechnics 27, 100508, 2021 | 110 | 2021 |
| A novel feature selection approach based on tree models for evaluating the punching shear capacity of steel fiber-reinforced concrete flat slabs S Lu, M Koopialipoor, PG Asteris, M Bahri, DJ Armaghani Materials 13 (17), 3902, 2020 | 110 | 2020 |
| A new methodology for optimization and prediction of rate of penetration during drilling operations Y Zhao, A Noorbakhsh, M Koopialipoor, A Azizi, MM Tahir Engineering with Computers 36, 587-595, 2020 | 108 | 2020 |
| Introducing stacking machine learning approaches for the prediction of rock deformation M Koopialipoor, PG Asteris, AS Mohammed, DE Alexakis, A Mamou, ... Transportation Geotechnics 34, 100756, 2022 | 97 | 2022 |
| Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples L Sun, M Koopialipoor, D Jahed Armaghani, R Tarinejad, MM Tahir Engineering with Computers 37, 1133-1145, 2021 | 94 | 2021 |
| Estimating and optimizing safety factors of retaining wall through neural network and bee colony techniques B Gordan, M Koopialipoor, A Clementking, H Tootoonchi, ... Engineering with Computers 35, 945-954, 2019 | 94 | 2019 |
| Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm J Zhou, H Guo, M Koopialipoor, D Jahed Armaghani, MM Tahir Engineering with Computers 37, 1679-1694, 2021 | 92 | 2021 |
| Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks PG Asteris, A Mamou, M Hajihassani, M Hasanipanah, M Koopialipoor, ... Transportation Geotechnics 29, 100588, 2021 | 91 | 2021 |
Danial Jahed ArmaghaniUniversity of Technology SydneyEmail verificata su uts.edu.au
