10 citations as recorded by crossref.

1. Gaussian process emulators for the undrained bearing capacity of spatially random soils using cell-based smoothed finite element method H. Nguyen et al. https://doi.org/10.1016/j.jrmge.2025.04.042
2. Probabilistic prediction of rock avalanche runout using a numerical model J. Aaron et al. https://doi.org/10.1007/s10346-022-01939-y
3. Emulator-based global sensitivity analysis for flow-like landslide run-out models H. Zhao et al. https://doi.org/10.1007/s10346-021-01690-w
4. The impact of terrain model source and resolution on snow avalanche modeling A. Miller et al. https://doi.org/10.5194/nhess-22-2673-2022
5. Computationally-feasible uncertainty quantification in model-based landslide risk assessment A. Yildiz et al. https://doi.org/10.3389/feart.2022.1032438
6. Deep-learning surrogate models for the stability of a wide rectangular tunnel H. Nguyen et al. https://doi.org/10.1016/j.compgeo.2024.106946
7. How Can the Morphometric Characteristics and Failure Conditions of a Historic Gully Caused by Intense Rainfall Be Reconstructed? C. Rault et al. https://doi.org/10.3390/earth3010020
8. AI-enhanced landslide deposition prediction: a novel framework integrating discrete element method and generative adversarial networks Y. Cui et al. https://doi.org/10.1016/j.enggeo.2026.108752
9. Partitioning of granular flows at valley bifurcation under varying control conditions H. Gardezi et al. https://doi.org/10.1016/j.enggeo.2026.109025
10. Quantifying the uncertainty in the Eurasian ice-sheet geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6) O. Pollard et al. https://doi.org/10.5194/tc-17-4751-2023