15 citations as recorded by crossref.

1. Multihazard Scenarios for Regional Seismic Risk Assessment of Spatially Distributed Infrastructure N. Soleimani et al. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000598
2. Effect of spatial variability of soil properties on liquefaction behaviour – a probabilistic approach Ş. Tuna https://doi.org/10.1007/s10518-025-02349-w
3. Assessing liquefaction risk and hazard mapping in a high-seismic region: a case study of Bengkulu City, Indonesia L. Mase et al. https://doi.org/10.1007/s11069-024-07057-3
4. Assessing the value of information in pricing insurance against multiple hazards: the case of earthquake and liquefaction S. Keith et al. https://doi.org/10.1016/j.ijdrr.2026.106052
5. Causal spatially heterogeneous Bayesian networks with GPs and normalizing flows for seismic multi-hazard estimation X. Li et al. https://doi.org/10.1038/s44304-025-00098-z
6. Bayesian Recalibration of Geospatial Liquefaction Model with Regional Data Updating: A Case Study of the 2008 Wenchuan Earthquake Y. Xie et al. https://doi.org/10.3390/eng7060260
7. A Probabilistic Liquefaction Hazard Analysis: Case Studies from the Marmara Region I. Sianko et al. https://doi.org/10.1007/s10706-024-03042-6
8. A Review on Impacts and Mitigation of Liquefaction of Soil Around the Tunnels T. Fatima et al. https://doi.org/10.1007/s11668-023-01759-9
9. Cost–benefit analysis to appraise technical mitigation options for earthquake-induced liquefaction disaster events N. Wanigarathna et al. https://doi.org/10.1108/JFMPC-12-2021-0073
10. Evaluation of liquefaction resistance in chemically grouted sand using cyclic triaxial tests K. Kyaw et al. https://doi.org/10.1016/j.rineng.2025.106875
11. Laboratory study of slurry clay utilization to reduce liquefaction potential S. Sumiyanto et al. https://doi.org/10.21303/2461-4262.2026.004057
12. Probabilistic framework for regional loss assessment due to earthquake-induced liquefaction including epistemic uncertainty C. Yilmaz et al. https://doi.org/10.1016/j.soildyn.2020.106493
13. Deformation Mapping of the 2018 Sulawesi Earthquake by Satellite Radar and Optical Remote Sensing T. Tampubolon et al. https://doi.org/10.1088/1742-6596/1428/1/012043
14. Urban growth modelling and social vulnerability assessment for a hazardous Kathmandu Valley C. Mesta et al. https://doi.org/10.1038/s41598-022-09347-x
15. A deep learning approach for rapid detection of soil liquefaction using time–frequency images W. Zhang et al. https://doi.org/10.1016/j.soildyn.2023.107788