20 citations as recorded by crossref.

1. The added value of a regional landslide susceptibility assessment: The western branch of the East African Rift A. Depicker et al. https://doi.org/10.1016/j.geomorph.2019.106886
2. Reactivated Wuwanchai landslide area monitoring and analysis C. Chen et al. https://doi.org/10.1007/s10064-022-02905-7
3. Mapping landslide susceptibility from small datasets: A case study in the Pays de Herve (E Belgium) A. Demoulin & C. Chung https://doi.org/10.1016/j.geomorph.2007.01.008
4. Tracking landslide displacements by multi-temporal DTMs: A combined aerial stereophotogrammetric and LIDAR approach in western Belgium O. Dewitte et al. https://doi.org/10.1016/j.enggeo.2008.02.006
5. Reservoir Regulation for Control of an Ancient Landslide Reactivated by Water Level Fluctuations in Heishui River, China J. Guo et al. https://doi.org/10.1007/s12583-020-1341-7
6. Impact analysis of repeated improper treatment of bridge site slopes to bridge across C. Yan et al. https://doi.org/10.1016/j.engfailanal.2023.107708
7. Economic valuation of landslide damage in hilly regions: A case study from Flanders, Belgium L. Vranken et al. https://doi.org/10.1016/j.scitotenv.2013.01.025
8. Stability evaluation and prediction of the Dongla reactivated ancient landslide as well as emergency mitigation for the Dongla Bridge G. Luo et al. https://doi.org/10.1007/s10346-017-0796-9
9. Combining field data with infrared thermography and DInSAR surveys to evaluate the activity of landslides: the case study of Randazzo Landslide (NE Sicily) G. Pappalardo et al. https://doi.org/10.1007/s10346-018-1026-9
10. Deformation and stability analysis of the ancient Da’ao landslide revealed by InSAR and model simulation J. Zhang et al. https://doi.org/10.1007/s10346-023-02181-w
11. Combining spatial data in landslide reactivation susceptibility mapping: A likelihood ratio-based approach in W Belgium O. Dewitte et al. https://doi.org/10.1016/j.geomorph.2010.06.010
12. Hydro-mechanical reactivation of a dual-sliding-zone ancient landslide controlled by dry-density-dependent water sensitivity X. Lü et al. https://doi.org/10.1007/s11440-026-03153-9
13. Hydraulic stream network conditioning by a tectonically induced, giant, deep-seated landslide along the front of the Apennine chain (south Italy) A. Galeandro et al. https://doi.org/10.5194/nhess-13-1269-2013
14. Diversification of landslide areas as a means for reducing noise in dendrogeomorphic dating K. Šilhán et al. https://doi.org/10.1016/j.quageo.2022.101362
15. A dynamic stability analysis for the Olinalá landslide, northeastern Mexico J. Salinas-Jasso et al. https://doi.org/10.1007/s11069-020-03954-5
16. Photogrammetric reconstruction of multi-decadal topographic changes from historical aerial imagery for landslide and debris-flow hazard assessment W. Jen & Y. Chen https://doi.org/10.1016/j.rsase.2025.101866
17. Which data for quantitative landslide susceptibility mapping at operational scale? Case study of the Pays d'Auge plateau hillslopes (Normandy, France) M. Fressard et al. https://doi.org/10.5194/nhess-14-569-2014
18. Landslide susceptibility assessment based on an incomplete landslide inventory in the Jilong Valley, Tibet, Chinese Himalayas J. Du et al. https://doi.org/10.1016/j.enggeo.2020.105572
19. Conventional data-driven landslide susceptibility models may only tell us half of the story: Potential underestimation of landslide impact areas depending on the modeling design P. Lima et al. https://doi.org/10.1016/j.geomorph.2023.108638
20. Regional mapping and characterisation of old landslides in hilly regions using LiDAR-based imagery in Southern Flanders M. Van Den Eeckhaut et al. https://doi.org/10.1016/j.yqres.2011.02.006