| A comparative study of different machine learning methods for reservoir landslide displacement prediction Y Wang, H Tang, J Huang, T Wen, J Ma, J Zhang Engineering Geology, 106544, 2022 | 143 | 2022 |
| A hybrid intelligent approach for constructing landslide displacement prediction intervals Y Wang, H Tang, T Wen, J Ma Applied Soft Computing 81, 105506, 2019 | 114 | 2019 |
| Establishment of a deformation forecasting model for a step-like landslide based on decision tree C5. 0 and two-step cluster algorithms: a case study in the Three Gorges … J Ma, H Tang, X Liu, X Hu, M Sun, Y Song Landslides 14, 1275-1281, 2017 | 107 | 2017 |
| Metaheuristic-based support vector regression for landslide displacement prediction: A comparative study J Ma, D Xia, H Guo, Y Wang, X Niu, Z Liu, S Jiang Landslides 19 (10), 2489-2511, 2022 | 103 | 2022 |
| A comprehensive comparison among metaheuristics (MHs) for geohazard modeling using machine learning: Insights from a case study of landslide displacement prediction J Ma, D Xia, Y Wang, X Niu, S Jiang, Z Liu, H Guo Engineering Applications of Artificial Intelligence 114, 105150, 2022 | 101 | 2022 |
| Probabilistic forecasting of landslide displacement accounting for epistemic uncertainty: a case study in the Three Gorges Reservoir area, China J Ma, H Tang, X Liu, T Wen, J Zhang, Q Tan, Z Fan Landslides 15, 1145-1153, 2018 | 101 | 2018 |
| Identification of causal factors for the Majiagou landslide using modern data mining methods J Ma, H Tang, X Hu, A Bobet, M Zhang, T Zhu, Y Song, MAM Ez Eldin Landslides 14, 311-322, 2017 | 91 | 2017 |
| Evaluation of methods for determining crack initiation stress under compression T Wen, H Tang, J Ma, Y Wang Engineering Geology 235, 81-97, 2018 | 83 | 2018 |
| Combined forecasting model with CEEMD-LCSS reconstruction and the ABC-SVR method for landslide displacement prediction J Zhang, H Tang, DD Tannant, C Lin, D Xia, X Liu, Y Zhang, J Ma Journal of Cleaner Production 293, 126205, 2021 | 71 | 2021 |
| A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector … J Ma, Y Wang, X Niu, S Jiang, Z Liu Stochastic Environmental Research and Risk Assessment 36 (10), 3109-3129, 2022 | 69 | 2022 |
| Energy analysis of the deformation and failure process of sandstone and damage constitutive model T Wen, H Tang, J Ma, Y Liu KSCE Journal of Civil Engineering 23, 513-524, 2019 | 58 | 2019 |
| Model testing of the spatial–temporal evolution of a landslide failure J Ma, H Tang, X Hu, A Bobet, R Yong, MAM Ez Eldin Bulletin of Engineering Geology and the Environment 76, 323-339, 2017 | 57 | 2017 |
| Energy evolution: A new perspective on the failure mechanism of purplish-red mudstones from the Three Gorges Reservoir area, China T Wen, H Tang, L Huang, Y Wang, J Ma Engineering Geology 264, 105350, 2020 | 56 | 2020 |
| A Hybrid Landslide Displacement Prediction Method Based on CEEMD and DTW-ACO-SVR—Cases Studied in the Three Gorges Reservoir Area J Zhang, H Tang, W Tao, J Ma, Q Tan, D Xia, X Liu, Y Zhang Sensors 20 (15), 4287, 2020 | 45 | 2020 |
| A novel decomposition-ensemble learning model based on ensemble empirical mode decomposition and recurrent neural network for landslide displacement prediction X Niu, J Ma, Y Wang, J Zhang, H Chen, H Tang Applied Sciences 11 (10), 4684, 2021 | 43 | 2021 |
| Displacement prediction of a complex landslide in the Three Gorges Reservoir Area (China) using a hybrid computational intelligence approach J Ma, X Niu, H Tang, Y Wang, T Wen, J Zhang Complexity 2020 (1), 2624547, 2020 | 42 | 2020 |
| Suitability of data preprocessing methods for landslide displacement forecasting Z Zou, Y Yang, Z Fan, H Tang, M Zou, X Hu, C Xiong, J Ma Stochastic Environmental Research and Risk Assessment 34, 1105-1119, 2020 | 40 | 2020 |
| Evaluation of methods for determining rock brittleness under compression W Tao, H Tang, Y Wang, J Ma Journal of Natural Gas Science and Engineering 78, 103321, 2020 | 40 | 2020 |
| Application of 3D laser scanning technology to landslide physical model test J Ma, HM Tang, XL Hu, R Yong, H Xia, YJ Song Rock and soil mechanics 35 (5), 1495-1505, 2014 | 38* | 2014 |
| Automated machine learning-based landslide susceptibility mapping for the three gorges reservoir area, China J Ma, D Lei, Z Ren, C Tan, D Xia, H Guo Mathematical Geosciences 56 (5), 975-1010, 2024 | 34 | 2024 |
