| Landslide susceptibility mapping based on weighted gradient boosting decision tree in Wanzhou section of the Three Gorges Reservoir Area (China) Y Song, R Niu, S Xu, R Ye, L Peng, T Guo, S Li, T Chen ISPRS International Journal of Geo-Information 8 (1), 4, 2018 | 75 | 2018 |
| Combining a class-weighted algorithm and machine learning models in landslide susceptibility mapping: A case study of Wanzhou section of the Three Gorges Reservoir, China H Zhang, Y Song, S Xu, Y He, Z Li, X Yu, Y Liang, W Wu, Y Wang Computers & Geosciences 158, 104966, 2022 | 60 | 2022 |
| Study on landslide susceptibility mapping based on rock–soil characteristic factors X Yu, K Zhang, Y Song, W Jiang, J Zhou Scientific reports 11 (1), 15476, 2021 | 30 | 2021 |
| A comparative study of shallow machine learning models and deep learning models for landslide susceptibility assessment based on imbalanced data S Xu, Y Song, X Hao Forests 13 (11), 1908, 2022 | 8 | 2022 |
| Evaluating landslide susceptibility using sampling methodology and multiple machine learning models Y Song, D Yang, W Wu, X Zhang, J Zhou, Z Tian, C Wang, Y Song ISPRS International Journal of Geo-Information 12 (5), 197, 2023 | 6 | 2023 |
| Estimating of heavy metal concentration in agricultural soils from hyperspectral satellite sensor imagery: Considering the sources and migration pathways of pollutants L Yao, M Xu, Y Liu, R Niu, X Wu, Y Song Ecological Indicators 158, 111416, 2024 | 4 | 2024 |
| Synergizing multiple machine learning techniques and remote sensing for advanced landslide susceptibility assessment: a case study in the Three Gorges Reservoir Area Y Song, Y Li, Y Zou, R Wang, Y Liang, S Xu, Y He, X Yu, W Wu Environmental Earth Sciences 83 (8), 1-20, 2024 | 1 | 2024 |
