| Development of a fuzzy model to predict flyrock in surface mining M Rezaei, M Monjezi, AY Varjani Safety science 49 (2), 298-305, 2011 | 173 | 2011 |
| Prediction of rock fragmentation due to blasting in Gol-E-Gohar iron mine using fuzzy logic M Monjezi, M Rezaei, AY Varjani International Journal of Rock Mechanics and Mining Sciences 46 (8), 1273-1280, 2009 | 144 | 2009 |
| An intelligent approach to predict unconfined compressive strength of rock surrounding access tunnels in longwall coal mining M Rezaei, A Majdi, M Monjezi Neural Computing and Applications 24, 233-241, 2014 | 117 | 2014 |
| Prediction of backbreak in open-pit blasting using fuzzy set theory M Monjezi, M Rezaei, A Yazdian Expert Systems with Applications 37 (3), 2637-2643, 2010 | 114 | 2010 |
| Determination of longwall mining-induced stress using the strain energy method M Rezaei, MF Hossaini, A Majdi Rock Mechanics and Rock Engineering 48, 2421-2433, 2015 | 107 | 2015 |
| Prediction of unconfined compressive strength of rock surrounding a roadway using artificial neural network A Majdi, M Rezaei Neural Computing and Applications 23, 381-389, 2013 | 103 | 2013 |
| Developing a least squares support vector machine for estimating the blast-induced flyrock HN Rad, M Hasanipanah, M Rezaei, AL Eghlim Engineering with Computers 34 (4), 709–717, 2018 | 95 | 2018 |
| A time-independent energy model to determine the height of destressed zone above the mined panel in longwall coal mining M Rezaei, MF Hossaini, A Majdi Tunnelling and Underground Space Technology 47, 81-92, 2015 | 82 | 2015 |
| Assessing the effect of freezing-thawing cycles on the results of the triaxial compressive strength test for calc-schist rock SZS Mousavi, H Tavakoli, P Moarefvand, M Rezaei International Journal of Rock Mechanics and Mining Sciences 123, 104090, 2019 | 77 | 2019 |
| Developing a new fuzzy model to predict burden from rock geomechanical properties M Monjezi, M Rezaei Expert Systems with Applications 38 (8), 9266-9273, 2011 | 75 | 2011 |
| Development of a time-dependent energy model to calculate the mining-induced stress over gates and pillars M Rezaei, MF Hossaini, A Majdi Journal of Rock Mechanics and Geotechnical Engineering 7 (3), 306-317, 2015 | 57 | 2015 |
| Prediction of representative deformation modulus of longwall panel roof rock strata using Mamdani fuzzy system R Mohammad, A Mostafa, M Abbas, HM Farouq International Journal of Mining Science and Technology 25 (1), 23-30, 2015 | 57 | 2015 |
| Evaluation of the maximum horizontal displacement around the power station caverns using artificial neural network M Rajabi, R Rahmannejad, M Rezaei, K Ganjalipour Tunnelling and Underground Space Technology 64, 51-60, 2017 | 56 | 2017 |
| Micro-structural, petro-graphical and mechanical studies of schist rocks under the freezing-thawing cycles SZS Mousavi, H Tavakoli, P Moarefvand, M Rezaei Cold Regions Science and Technology 174, 103039, 2020 | 54 | 2020 |
| Application of neural networks to predict net present value in mining projects AR Sayadi, SMM Tavassoli, M Monjezi, M Rezaei Arabian Journal of Geosciences 7, 1067-1072, 2014 | 43 | 2014 |
| Burden prediction in blasting operation using rock geomechanical properties M Rezaei, M Monjezi, S Ghorbani Moghaddam, F Farzaneh Arabian Journal of Geosciences 5, 1031-1037, 2012 | 42 | 2012 |
| Development of an intelligent model to estimate the height of caving–fracturing zone over the longwall gobs M Rezaei Neural Computing and Applications 30 (7), 2145–2158, 2018 | 41 | 2018 |
| Studying the correlation of rock properties with P-wave velocity index in dry and saturated conditions M Rezaei, P Koureh Davoodi, I Najmoddini Journal of Applied Geophysics 169, 49-57, 2019 | 35 | 2019 |
| Predicting unconfined compressive strength of intact rock using new hybrid intelligent models M Rezaei, M Asadizadeh Journal of Mining and Environment 11 (1), 231-246, 2020 | 33 | 2020 |
| Indirect measurement of the elastic modulus of intact rocks using the Mamdani fuzzy inference system M Rezaei Measurement 129, 319-331, 2018 | 32 | 2018 |
Abbas Majdi, ProfessorUniversity of Tehran在 ut.ac.ir 的电子邮件经过验证
