| Effect of mineral admixtures on the mixed-mode (I/II) fracture characterization of cement mortar: CTS, CSTBD and SCB specimens HF Azar, N Choupani, H Afshin, RH Moghadam Engineering Fracture Mechanics 134, 20-34, 2015 | 49 | 2015 |
| Machine learning-assisted distinct element model calibration: ANFIS, SVM, GPR, and MARS approaches H Fathipour-Azar Acta Geotechnica, 1-11, 2021 | 38 | 2021 |
| Data-driven estimation of joint roughness coefficient H Fathipour-Azar Journal of Rock Mechanics and Geotechnical Engineering 13 (6), 1428-1437, 2021 | 27 | 2021 |
| Numerical modeling of geomaterial fracture using a cohesive crack model in grain-based DEM H Fathipour-Azar, J Wang, SME Jalali, SR Torabi Computational Particle Mechanics 7 (4), 645-654, 2020 | 23 | 2020 |
| Artificial neural networks models for rate of penetration prediction in rock drilling HF Azar, T Saksala, SME Jalali Rakenteiden Mekaniikka 50 (3), 252-255, 2017 | 19 | 2017 |
| Hybrid machine learning-based triaxial jointed rock mass strength H Fathipour-Azar Environmental Earth Sciences 81 (4), 1-11, 2022 | 15 | 2022 |
| New interpretable shear strength criterion for rock joints H Fathipour-Azar Acta Geotechnica, 1-15, 2022 | 15 | 2022 |
| Stacking ensemble machine learning-based shear strength model for rock discontinuity H Fathipour-Azar Geotechnical and Geological Engineering 40 (6), 3091-3106, 2022 | 14 | 2022 |
| Numerical modeling of geomaterial fracture using a cohesive crack model in grain-based DEM. Comput Part Mech 7: 645–654 H Fathipour-Azar, J Wang, SME Jalali, SR Torabi | 12 | 2020 |
| Estimating fracture toughness of rock (KIC) using artificial neural networks (ANNS) and linear multivariable regression (LMR) models H Fathipour Azar, SR Torabi 5th Iranian rock mechanics conference, 2014 | 11 | 2014 |
| Polyaxial Rock Failure Criteria: Insights from Explainable and Interpretable Data-Driven Models H Fathipour-Azar Rock Mechanics and Rock Engineering 55 (4), 2071-2089, 2022 | 10 | 2022 |
| Multi-level Machine Learning-Driven Tunnel Squeezing Prediction: Review and New Insights H Fathipour-Azar Archives of Computational Methods in Engineering, 1-17, 2022 | 8 | 2022 |
| Data-oriented prediction of rocks’ Mohr–Coulomb parameters H Fathipour-Azar Archive of Applied Mechanics, 1-12, 2022 | 8 | 2022 |
| Mean Cutting Force Prediction of Conical Picks Using Ensemble Learning Paradigm H Fathipour-Azar Rock Mechanics and Rock Engineering, 1-16, 2022 | 6 | 2022 |
| Shear Strength Criterion for Rock Discontinuities: A Comparative Study of Regression Approaches H Fathipour-Azar Rock Mechanics and Rock Engineering, 1-11, 2023 | 3 | 2023 |
| Estimating Fracture Eenergy of Concrete Using Artificial Neural Networks H Afshin, N CHOUPANI, AH FATHIPOUR JOURNAL OF CIVIL AND ENVIRONMENTAL ENGINEERING (UNIVERSITY OF TABRIZ) 42 …, 2012 | 2 | 2012 |
| Hybrid Data-Driven Polyaxial Rock Strength Meta Model H Fathipour-Azar Rock Mechanics and Rock Engineering, 1-15, 2023 | 1 | 2023 |
| Application of cohesive crack model to simulation of rocks mechanical behavior in grain-based distinct element model H Fathipour-Azar, SME Jalali, SR Torabi International Journal of Mining and Geo-Engineering 54 (1), 87-92, 2020 | 1 | 2020 |
| Meta ensemble learning-based triaxial rock dynamic strength model H Fathipour-Azar Multiscale and Multidisciplinary Modeling, Experiments and Design, 1-13, 2024 | | 2024 |
| The use of stochastic geomechanical properties of potential failure plane and fracture networks for realistic modelling of rock mass behaviour: A synthetic rock mass modelling … H Fathipour‑Azar, J Wang, SME Jalali, SR Torabi Computational Geosciences, 1-16, 2023 | | 2023 |
