| Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China C Zhou, K Yin, Y Cao, B Ahmed, Y Li, F Catani, HR Pourghasemi Computers & geosciences 112, 23-37, 2018 | 376 | 2018 |
| Application of time series analysis and PSO–SVM model in predicting the Bazimen landslide in the Three Gorges Reservoir, China C Zhou, K Yin, Y Cao, B Ahmed Engineering geology 204, 108-120, 2016 | 348 | 2016 |
| Displacement prediction of step-like landslide by applying a novel kernel extreme learning machine method C Zhou, K Yin, Y Cao, E Intrieri, B Ahmed, F Catani Landslides 15, 2211-2225, 2018 | 182 | 2018 |
| Using an extreme learning machine to predict the displacement of step-like landslides in relation to controlling factors Y Cao, K Yin, DE Alexander, C Zhou Landslides 13, 725-736, 2016 | 163 | 2016 |
| Landslide characterization applying sentinel-1 images and InSAR technique: The muyubao landslide in the three Gorges Reservoir Area, China C Zhou, Y Cao, K Yin, Y Wang, X Shi, F Catani, B Ahmed Remote Sensing 12 (20), 3385, 2020 | 89 | 2020 |
| Enhanced dynamic landslide hazard mapping using MT-InSAR method in the Three Gorges Reservoir Area C Zhou, Y Cao, X Hu, K Yin, Y Wang, F Catani Landslides 19 (7), 1585-1597, 2022 | 88 | 2022 |
| Characteristic comparison of seepage-driven and buoyancy-driven landslides in Three Gorges Reservoir area, China C Zhou, Y Cao, K Yin, E Intrieri, F Catani, L Wu Engineering Geology 301, 106590, 2022 | 77 | 2022 |
| Developing a dynamic Web-GIS based landslide early warning system for the Chittagong Metropolitan Area, Bangladesh B Ahmed, MS Rahman, R Islam, P Sammonds, C Zhou, K Uddin, ... ISPRS International Journal of Geo-Information 7 (12), 485, 2018 | 76 | 2018 |
| Remote sensing of photovoltaic scenarios: Techniques, applications and future directions Q Chen, X Li, Z Zhang, C Zhou, Z Guo, Z Liu, H Zhang Applied Energy 333, 120579, 2023 | 62 | 2023 |
| A novel method for landslide displacement prediction by integrating advanced computational intelligence algorithms C Zhou, K Yin, Y Cao, B Ahmed, X Fu Scientific reports 8 (1), 7287, 2018 | 62 | 2018 |
| Establishment of landslide groundwater level prediction model based on GA-SVM and influencing factor analysis Y Cao, K Yin, C Zhou, B Ahmed Sensors 20 (3), 845, 2020 | 52 | 2020 |
| Landslide hazard probability and risk assessment at the community level: A case of western Hubei, China S Fu, L Chen, T Woldai, K Yin, L Gui, D Li, J Du, C Zhou, Y Xu, Z Lian Natural Hazards and Earth System Sciences 20 (2), 581-601, 2020 | 51 | 2020 |
| Landslide susceptibility mapping combining information gain ratio and support vector machines: a case study from Wushan segment in the three gorges reservoir area, China L Yu, Y Cao, C Zhou, Y Wang, Z Huo Applied Sciences 9 (22), 4756, 2019 | 49 | 2019 |
| Landslide displacement prediction combining LSTM and SVR algorithms: A case study of Shengjibao Landslide from the Three Gorges Reservoir Area H Jiang, Y Li, C Zhou, H Hong, T Glade, K Yin Applied Sciences 10 (21), 7830, 2020 | 47 | 2020 |
| Retrieval of time series three-dimensional landslide surface displacements from multi-angular SAR observations X Shi, L Zhang, C Zhou, M Li, M Liao Landslides 15 (5), 1015-1027, 2018 | 46 | 2018 |
| Landslide susceptibility assessment by applying the coupling method of radial basis neural network and adaboost: A case study from the Three Gorges Reservoir area C Zhou, KL Yin, Y Cao, Y Li Earth Science 45 (6), 1865-1876, 2020 | 42 | 2020 |
| 基于集成学习与径向基神经网络耦合模型的三峡库区滑坡易发性评价 周超， 殷坤龙， 曹颖， 李远耀 地球科学 45 (6), 1865-1876, 2020 | 37 | 2020 |
| INFLUENCING FACTOR ANALYSIS AND DISPLACEMENT PREDICTION IN RESERVOIR LANDSLIDES− A CASE STUDY OF THREE GORGES RESERVOIR (CHINA). F Huang, K Yin, T He, C Zhou, J Zhang Technical Gazette/Tehnički Vjesnik 23 (2), 2016 | 35 | 2016 |
| A novel framework for landslide displacement prediction using MT-InSAR and machine learning techniques C Zhou, Y Cao, L Gan, Y Wang, M Motagh, S Roessner, X Hu, K Yin Engineering Geology 334, 107497, 2024 | 30 | 2024 |
| Coupling data-and knowledge-driven methods for landslide susceptibility mapping in human-modified environments: A case study from Wanzhou County, Three Gorges Reservoir Area, China L Yu, C Zhou, Y Wang, Y Cao, DJ Peres Remote Sensing 14 (3), 774, 2022 | 26 | 2022 |
Bayes AhmedAssociate Professor, Department of Risk and Disaster Reduction, University College London (UCL)在 ucl.ac.uk 的电子邮件经过验证
