| Deep learning for geological hazards analysis: Data, models, applications, and opportunities Z Ma, G Mei Earth-Science Reviews 223, 103858, 2021 | 220 | 2021 |
| Machine learning for landslides prevention: a survey Z Ma, G Mei, F Piccialli Neural Computing and Applications 33 (17), 10881-10907, 2021 | 179 | 2021 |
| 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 | 133 | 2021 |
| A hybrid attention-based deep learning approach for wind power prediction Z Ma, G Mei Applied Energy 323, 119608, 2022 | 102 | 2022 |
| 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 | 56 | 2021 |
| SWCGAN: Generative adversarial network combining swin transformer and CNN for remote sensing image super-resolution J Tu, G Mei, Z Ma, F Piccialli IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 53 | 2022 |
| An attention-based cycle-consistent generative adversarial network for IoT data generation and its application in smart energy systems Z Ma, G Mei, F Piccialli IEEE Transactions on Industrial Informatics 19 (4), 6170-6181, 2022 | 10 | 2022 |
| Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities Z Ma, G Mei, N Xu Artificial Intelligence Review 57 (6), 160, 2024 | 8 | 2024 |
| Heterogeneous data fusion considering spatial correlations using graph convolutional networks and its application in air quality prediction Z Ma, G Mei, S Cuomo, F Piccialli Journal of King Saud University-Computer and Information Sciences 34 (6 …, 2022 | 8 | 2022 |
| Forecasting landslide deformation by integrating domain knowledge into interpretable deep learning considering spatiotemporal correlations Z Ma, G Mei Journal of Rock Mechanics and Geotechnical Engineering, 2024 | 5 | 2024 |
| Computer and Information Sciences S Ma, H Liu, N Pan, S Wang Journal of King Saud University–Computer and Information Sciences 35, 101608, 2023 | 5 | 2023 |
| Effects of rain and heat-cool cycles on the weathering behavior of basalt from Wudalianchi, Heilongjiang Province, NE China Z Ma, Z Zhang, B Li, J Liu Bulletin of Engineering Geology and the Environment 78, 6033-6045, 2019 | 4 | 2019 |
| General paradigm of edge-based internet of things data mining for geohazard prevention J Qin, G Mei, Z Ma, F Piccialli Big Data 9 (5), 373-389, 2021 | 3 | 2021 |
| Characterizing seasonality and trend from in situ time‐series observations using explainable deep learning for ground deformation forecasting Z Ma, G Mei, N Xu Journal of Geophysical Research: Machine Learning and Computation 1 (2 …, 2024 | 2 | 2024 |
| Knowledge-infused Deep Learning Enables Interpretable Landslide Forecasting Z Ma, G Mei arXiv preprint arXiv:2307.08951, 2023 | 1 | 2023 |
| Formation of surface crack of hornito at Wudalianchi volcano, Heilongjiang Province, China Z MA, Z ZHANG, T ZHAN, Y YANG, J XU, L LI Journal of Engineering Geology 27 (2), 294-301, 2019 | 1 | 2019 |
| Deep Learning for Secure Communication in Cyber-Physical Systems Z Ma, G Mei, F Piccialli IEEE Internet of Things Magazine 5 (2), 63-68, 2022 | | 2022 |