| Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition DJ Armaghani, ET Mohamad, MS Narayanasamy, N Narita, S Yagiz Tunnelling and Underground Space Technology 63, 29-43, 2017 | 400 | 2017 |
| Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization DJ Armaghani, M Hajihassani, ET Mohamad, A Marto, SA Noorani Arabian Journal of Geosciences 7, 5383-5396, 2014 | 390 | 2014 |
| Improvement of problematic soils with biopolymer—an environmentally friendly soil stabilizer N Latifi, S Horpibulsuk, CL Meehan, MZ Abd Majid, MM Tahir, ... Journal of Materials in Civil Engineering 29 (2), 04016204, 2017 | 366 | 2017 |
| Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm M Hajihassani, DJ Armaghani, A Marto, ET Mohamad Bull Eng Geol Environ 74 (3), 873-886, 2015 | 275 | 2015 |
| Application of support vector machine with firefly algorithm for investigation of the factors affecting the shear strength of angle shear connectors ES Chahnasir, Y Zandi, M Shariati, E Dehghani, A Toghroli, ET Mohamad, ... Smart structures and systems 22 (4), 413-424, 2018 | 251 | 2018 |
| Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach ET Mohamad, D Jahed Armaghani, E Momeni, ... Bulletin of Engineering Geology and the Environment 74, 745-757, 2015 | 238 | 2015 |
| Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization M Hajihassani, DJ Armaghani, H Sohaei, ET Mohamad, A Marto Applied Acoustics 80, 57-67, 2014 | 232 | 2014 |
| Application of ANFIS technique on performance of C and L shaped angle shear connectors Y Sedghi, Y Zandi, M Shariati, E Ahmadi, VM Azar, A Toghroli, M Safa, ... Smart structures and systems 22 (3), 335-340, 2018 | 223 | 2018 |
| A review on pavement porous concrete using recycled waste materials A Toghroli, M Shariati, F Sajedi, Z Ibrahim, S Koting, ET Mohamad, ... Smart Struct. Syst 22 (4), 433-440, 2018 | 213 | 2018 |
| An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young’s modulus: a study on Main Range granite D Jahed Armaghani, E Tonnizam Mohamad, E Momeni, ... Bulletin of engineering geology and the environment 74, 1301-1319, 2015 | 204 | 2015 |
| Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach M Hajihassani, D Jahed Armaghani, M Monjezi, ET Mohamad, A Marto Environmental Earth Sciences 74, 2799-2817, 2015 | 197 | 2015 |
| Prediction of the strength and elasticity modulus of granite through an expert artificial neural network DJ Armaghani, E Tonnizam Mohamad, E Momeni, M Monjezi, ... Arabian Journal of Geosciences 9, 1-16, 2016 | 190 | 2016 |
| Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization J Zhou, Y Qiu, S Zhu, DJ Armaghani, M Khandelwal, ET Mohamad Underground Space 6 (5), 506-515, 2021 | 189 | 2021 |
| Rock strength estimation: a PSO-based BP approach ET Mohamad, DJ Armaghani, E Momeni, AH Yazdavar, M Ebrahimi Neural Computing and Applications 30, 1635-1646, 2018 | 189 | 2018 |
| 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 | 177 | 2019 |
| 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 Novel Approach for Blast‐Induced Flyrock Prediction Based on Imperialist Competitive Algorithm and Artificial Neural Network A Marto, M Hajihassani, D Jahed Armaghani, E Tonnizam Mohamad, ... The Scientific World Journal 2014 (1), 643715, 2014 | 159 | 2014 |
| Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances D Jahed Armaghani, E Tonnizam Mohamad, M Hajihassani, S Yagiz, ... Engineering with Computers 32, 189-206, 2016 | 148 | 2016 |
| A combination of the ICA-ANN model to predict air-overpressure resulting from blasting D Jahed Armaghani, M Hasanipanah, E Tonnizam Mohamad Engineering with Computers 32, 155-171, 2016 | 148 | 2016 |
| 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 | 144 | 2019 |
