12 citations as recorded by crossref.

1. DeepLrn-Source: Deep learning powered landslide source identification L. Ju et al.
2. Impact of freeze-thaw on landslide activity under diverse topographies using geospatial data mining: Insights from Qilian Permafrost Region, Tibetan Plateau Y. Yang et al.
3. Investigation of landslide triggers on Mount Oku, Cameroon, using Newmark displacement and cluster analysis D. Djukem et al.
4. Database development and geometric characterization of the shallow landslides triggered bythe 16 June 2024 extreme rainfall event in Meizhou, Guangdong (China) X. Ma et al.
5. An ensemble neural network approach for space–time landslide predictive modelling J. Lim et al.
6. Paddy yield prediction based on 2D images of rice panicles using regression techniques . Pankaj et al.
7. Estimating landslide trigger factors using distributed lag nonlinear models A. Sridharan et al.
8. Space-time modeling of landslide size by combining static, dynamic, and unobserved spatiotemporal factors Z. Fang et al.
9. 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. The effect of location and geometric properties of landslides caused by rainstorms and earthquakes H. Qiu et al.
11. Landslide topology uncovers failure movements K. Bhuyan et al.
12. Generating multi-temporal landslide inventories through a general deep transfer learning strategy using HR EO data K. Bhuyan et al.