| Deep learning for geological hazards analysis: Data, models, applications, and opportunities Z Ma, G Mei Earth-Science Reviews 223, 103858, 2021 | 173 | 2021 |
| Machine learning for landslides prevention: a survey Z Ma, G Mei, F Piccialli Neural Computing and Applications 33 (17), 10881-10907, 2021 | 164 | 2021 |
| A survey of Internet of Things (IoT) for geohazard prevention: Applications, technologies, and challenges G Mei, N Xu, J Qin, B Wang, P Qi IEEE Internet of Things Journal 7 (5), 4371-4386, 2019 | 142 | 2019 |
| A fuzzy comprehensive evaluation method based on AHP and entropy for a landslide susceptibility map H Zhao, L Yao, G Mei, T Liu, Y Ning Entropy 19 (8), 396, 2017 | 131 | 2017 |
| An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors Z Ma, G Mei, S Cuomo Accident Analysis & Prevention 160, 106322, 2021 | 113 | 2021 |
| Julia language in machine learning: Algorithms, applications, and open issues K Gao, G Mei, F Piccialli, S Cuomo, J Tu, Z Huo Computer Science Review 37, 100254, 2020 | 88 | 2020 |
| A hybrid attention-based deep learning approach for wind power prediction Z Ma, G Mei Applied Energy 323, 119608, 2022 | 78 | 2022 |
| Discrete element modeling of strata and surface movement induced by mining under open-pit final slope N Xu, J Zhang, H Tian, G Mei, Q Ge International Journal of Rock Mechanics and Mining Sciences 88, 61-76, 2016 | 78 | 2016 |
| A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data Z Ma, G Mei, E Prezioso, Z Zhang, N Xu Neural Computing and Applications 33 (21), 14441-14457, 2021 | 53 | 2021 |
| Changes in thermomechanical properties due to air and water cooling of hot dry granite rocks under unconfined compression Z Zhu, T Kempka, PG Ranjith, H Tian, G Jiang, B Dou, G Mei Renewable Energy 170, 562-573, 2021 | 52 | 2021 |
| High-temperature influence on mechanical properties of diorite H Tian, G Mei, GS Jiang, Y Qin Rock Mechanics and Rock Engineering 50, 1661-1666, 2017 | 51 | 2017 |
| Comparison of estimating missing values in iot time series data using different interpolation algorithms Z Ding, G Mei, S Cuomo, Y Li, N Xu International Journal of Parallel Programming 48, 534-548, 2020 | 50 | 2020 |
| An equivalent discontinuous modeling method of jointed rock masses for DEM simulation of mining-induced rock movements B Regassa, N Xu, G Mei International Journal of Rock Mechanics and Mining Sciences 108, 1-14, 2018 | 50 | 2018 |
| Experimental investigation on physical and mechanical properties of thermal cycling granite by water cooling Z Zhu, H Tian, G Mei, G Jiang, B Dou Acta Geotechnica 15, 1881-1893, 2020 | 49 | 2020 |
| Impact of data layouts on the efficiency of GPU-accelerated IDW interpolation G Mei, H Tian SpringerPlus 5, 1-18, 2016 | 47 | 2016 |
| Relationships between P-wave velocity and mechanical properties of granite after exposure to different cyclic heating and water cooling treatments Z Zhu, PG Ranjith, H Tian, G Jiang, B Dou, G Mei Renewable Energy 168, 375-392, 2021 | 45 | 2021 |
| Simple and robust boolean operations for triangulated surfaces M Zhou, J Qin, G Mei, JC Tipper Mathematics 11 (12), 2713, 2023 | 42 | 2023 |
| Experimental investigation on mechanical behaviors of Nanan granite after thermal treatment under conventional triaxial compression Z Zhu, H Tian, G Mei, G Jiang, B Dou, P Xiao Environmental Earth Sciences 80, 1-14, 2021 | 42 | 2021 |
| A statistics-based discrete element modeling method coupled with the strength reduction method for the stability analysis of jointed rock slopes H Wang, B Zhang, G Mei, N Xu Engineering Geology 264, 105247, 2020 | 41 | 2020 |
| Improving GPU-accelerated adaptive IDW interpolation algorithm using fast kNN search G Mei, N Xu, L Xu SpringerPlus 5 (1), 1389, 2016 | 41 | 2016 |
Salvatore CuomoAssociate Professor of Numerical Analysis, University of Naples Federico II在 unina.it 的电子邮件经过验证
