| Comparative study of convolutional neural network and conventional machine learning methods for landslide susceptibility mapping R Liu, X Yang, C Xu, L Wei, X Zeng Remote Sensing 14 (2), 321, 2022 | 71 | 2022 |
| Incorporating landslide spatial information and correlated features among conditioning factors for landslide susceptibility mapping X Yang, R Liu, M Yang, J Chen, T Liu, Y Yang, W Chen, Y Wang Remote Sensing 13 (11), 2166, 2021 | 42 | 2021 |
| Spatial prediction of groundwater potentiality using machine learning methods with Grey Wolf and Sparrow Search Algorithms R Liu, G Li, L Wei, Y Xu, X Gou, S Luo, X Yang Journal of Hydrology 610, 127977, 2022 | 37 | 2022 |
| The performance quality of LR, SVM, and RF for earthquake-induced landslides susceptibility mapping incorporating remote sensing imagery R Liu, L Li, S Pirasteh, Z Lai, X Yang, H Shahabi Arabian Journal of Geosciences 14, 1-15, 2021 | 37 | 2021 |
| Landslide susceptibility mapping using machine learning for Wenchuan County, Sichuan province, China X Yang, R Liu, L Li, M Yang, Y Yang E3S Web of Conferences 198, 03023, 2020 | 2 | 2020 |
| Comparison of SAR Image Water Extraction Algorithms Based on Grey Incidence Analysis J Chen, R Liu, M Yang, X Yang, Y Yang, T Liu The International Conference on Image, Vision and Intelligent Systems …, 2022 | | 2022 |