12 citations as recorded by crossref.

1. Empirical shaking scenarios for Europe: a feasibility study D. Bindi et al. 10.1093/gji/ggac382
2. Enhanced Seismic Ground Motion Modeling With Conditional Variational Autoencoder P. Neelamraju et al. 10.1002/eer2.70006
3. Handling Dataset with Geophysical and Geological Variables on the Bolivian Andes by the GMT Scripts P. Lemenkova 10.3390/data7060074
4. Seismic microzonation and soil-structure resonance analysis in Suryabinayak Municipality, Bhaktapur, Nepal: insights from ambient vibration measurements D. Sakhakarmi et al. 10.1080/19475705.2024.2311892
5. Explainable Machine-Learning Predictions for Peak Ground Acceleration R. Sun et al. 10.3390/app13074530
6. Seismic resilience-based strategies for prioritization of interventions on a subregional area M. Vona et al. 10.1007/s10518-024-02072-y
7. Conditional generative adversarial networks for the generation of strong ground motion parameters using KiK-net ground motion records Z. Ba et al. 10.1016/j.asoc.2025.112730
8. Seismic Acceleration Estimation Method at Arbitrary Position Using Observations and Machine Learning K. Lee et al. 10.1007/s12205-022-1235-6
9. The Prediction Model of Seismic Variation in Complex Terrain based on the BP Neural Network with Cavities Y. Li & H. Zhou 10.1007/s00024-024-03589-8
10. A machine learning estimator trained on synthetic data for real-time earthquake ground-shaking predictions in Southern California M. Monterrubio-Velasco et al. 10.1038/s43247-024-01436-1
11. A scenario-based approach for immediate post-earthquake rockfall impact assessment M. Alvioli et al. 10.1007/s10346-023-02127-2
12. Analysis of earthquake-prone areas based on the seismic wave velocity, young's modulus, shear modulus, and Poisson’s ratio for disaster risk reduction in Bengkulu city, Indonesia A. Hadi et al. 10.1007/s11069-024-06827-3