| Deep learning-based landslide susceptibility mapping M Azarafza, M Azarafza, H Akgün, PM Atkinson, R Derakhshani Scientific reports 11 (1), 24112, 2021 | 200 | 2021 |
| Discontinuous rock slope stability analysis by limit equilibrium approaches–a review M Azarafza, H Akgün, A Ghazifard, E Asghari-Kaljahi, J Rahnamarad, ... International Journal of Digital Earth 14 (12), 1918-1941, 2021 | 72 | 2021 |
| Landslide susceptibility assessment by using convolutional neural network S Nikoobakht, M Azarafza, H Akgün, R Derakhshani Applied Sciences 12 (12), 5992, 2022 | 67 | 2022 |
| Landslide susceptibility assessment of South Pars Special Zone, southwest Iran M Azarafza, A Ghazifard, H Akgün, E Asghari-Kaljahi Environmental earth sciences 77, 1-29, 2018 | 63 | 2018 |
| COVID-19 infection forecasting based on deep learning in Iran M Azarafza, M Azarafza, J Tanha MedRxiv, 2020.05. 16.20104182, 2020 | 58 | 2020 |
| Numerical modeling of discontinuous rock slopes utilizing the 3DDGM (three-dimensional discontinuity geometrical modeling) method M Azarafza, E Asghari-Kaljahi, H Akgün Bulletin of Engineering Geology and the Environment 76, 989-1007, 2017 | 56 | 2017 |
| Development of a 2D and 3D computational algorithm for discontinuity structural geometry identification by artificial intelligence based on image processing techniques M Azarafza, A Ghazifard, H Akgün, E Asghari-Kaljahi Bulletin of Engineering Geology and the Environment 78, 3371-3383, 2019 | 55 | 2019 |
| Clustering method for spread pattern analysis of corona-virus (COVID-19) infection in Iran M Azarafza, M Azarafza, H Akgün medRxiv, 2020.05. 22.20109942, 2020 | 53 | 2020 |
| Assessment of discontinuous rock slope stability with block theory and numerical modeling: a case study for the South Pars Gas Complex, Assalouyeh, Iran M Azarafza, E Asghari-Kaljahi, H Akgün Environmental Earth Sciences 76, 1-15, 2017 | 53 | 2017 |
| Strain integration-based soil shear displacement measurement using high-resolution strain sensing technology H Wu, HH Zhu, CC Zhang, GY Zhou, B Zhu, W Zhang, M Azarafza Measurement 166, 108210, 2020 | 51 | 2020 |
| Fuzzy-based multiple decision method for landslide susceptibility and hazard assessment: A case study of Tabriz, Iran YA Nanehkaran, Y Mao, M Azarafza, MK Kockar, HH Zhu Geomechanics and Engineering 24 (5), 407-418, 2021 | 50 | 2021 |
| Key-block based analytical stability method for discontinuous rock slope subjected to toppling failure M Azarafza, H Akgün, A Ghazifard, E Asghari-Kaljahi Computers and Geotechnics 124, 103620, 2020 | 44 | 2020 |
| Application of the modified Q-slope classification system for sedimentary rock slope stability assessment in Iran M Azarafza, YA Nanehkaran, L Rajabion, H Akgün, J Rahnamarad, ... Engineering Geology 264, 105349, 2020 | 41 | 2020 |
| Urban geology of Tabriz City: Environmental and geological constraints M Azarafza, A Ghazifard Advances in environmental research 5 (2), 95-108, 2016 | 40 | 2016 |
| Discontinuous rock slope stability analysis under blocky structural sliding by fuzzy key-block analysis method M Azarafza, H Akgün, MR Feizi-Derakhshi, M Azarafza, J Rahnamarad, ... Heliyon 6 (5), 2020 | 39 | 2020 |
| Assessment of rock slope stability by slope mass rating (SMR):A case study for the gas flare site in Assalouyeh, South of Iran M Azarafza, H Akgün, E Asghari-Kaljahi Geomechanics and Engineering 13 (4), 571-584, 2017 | 38 | 2017 |
| Application of machine learning techniques for the estimation of the safety factor in slope stability analysis Y Ahangari Nanehkaran, T Pusatli, J Chengyong, J Chen, A Cemiloglu, ... Water 14 (22), 3743, 2022 | 35 | 2022 |
| Comparative analysis for slope stability by using machine learning methods YA Nanehkaran, Z Licai, J Chengyong, J Chen, S Anwar, M Azarafza, ... Applied Sciences 13 (3), 1555, 2023 | 32 | 2023 |
| Stochastic geometry model of rock mass fracture network in tunnels M Azarafza, H Akgün, E Asghari-Kaljahi Quarterly Journal of Engineering Geology and Hydrogeology 51 (3), 379-386, 2018 | 30 | 2018 |
| Riverside landslide susceptibility overview: leveraging artificial neural networks and machine learning in accordance with the United Nations (UN) sustainable development goals YA Nanehkaran, B Chen, A Cemiloglu, J Chen, S Anwar, M Azarafza, ... Water 15 (15), 2707, 2023 | 28 | 2023 |
Haluk Akgun, Ph.D., P.E.Professor of Geological Engineering Middle East Technical University (METU)在 metu.edu.tr 的电子邮件经过验证
