9 citations as recorded by crossref.

1. Investigation of landslide triggers on Mount Oku, Cameroon, using Newmark displacement and cluster analysis D. Djukem et al. 10.1186/s40677-024-00297-2
2. An ensemble neural network approach for space–time landslide predictive modelling J. Lim et al. 10.1016/j.jag.2024.104037
3. Paddy yield prediction based on 2D images of rice panicles using regression techniques . Pankaj et al. 10.1007/s00371-023-03092-6
4. Estimating landslide trigger factors using distributed lag nonlinear models A. Sridharan et al. 10.1016/j.envsoft.2024.106259
5. Space-time modeling of landslide size by combining static, dynamic, and unobserved spatiotemporal factors Z. Fang et al. 10.1016/j.catena.2024.107989
6. Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model K. Bhuyan et al. 10.1080/15481603.2023.2182057
7. The effect of location and geometric properties of landslides caused by rainstorms and earthquakes H. Qiu et al. 10.1002/esp.5816
8. Landslide topology uncovers failure movements K. Bhuyan et al. 10.1038/s41467-024-46741-7
9. Generating multi-temporal landslide inventories through a general deep transfer learning strategy using HR EO data K. Bhuyan et al. 10.1038/s41598-022-27352-y