- One-dimensional shear-wave velocity profile inversion using deep learning guided by wave physics. Dans: Soil Dynamics and Earthquake Engineering, v. 190 (mars 2025). (2025):
- Site classification using deep‐learning‐based image recognition techniques. Dans: Earthquake Engineering and Structural Dynamics, v. 52, n. 8 (mars 2023). (2023):
- HVSR-based Site Classification Approach Using General Regression Neural Network (GRNN): Case Study for China Strong Motion Stations. Dans: Journal of Earthquake Engineering, v. 26, n. 16 (janvier 2022). (2022):
- Evaluation of a novel application of earthquake HVSR in site-specific amplification estimation. Dans: Soil Dynamics and Earthquake Engineering, v. 139 (décembre 2020). (2020):
- Which is a better proxy, site period or depth to bedrock, in modelling linear site response in addition to the average shear-wave velocity?. Dans: Bulletin of Earthquake Engineering, v. 18, n. 3 (octobre 2019). (2019):
- Quantifying the edge-induced seismic aggravation in shallow basins relative to the 1D SH modelling. Dans: Soil Dynamics and Earthquake Engineering, v. 115 (décembre 2018). (2018):
- Statistical analysis of the additional amplification in deep basins relative to the 1D approach. Dans: Soil Dynamics and Earthquake Engineering, v. 104 (janvier 2018). (2018):
- Inherent Characteristics of 2D Alluvial Formations Subjected to In-Plane Motion. Dans: Journal of Earthquake Engineering, v. 23, n. 9 ( 2019). (2019):
- Seismic Aggravation in Shallow Basins in Addition to One-dimensional Site Amplification. Dans: Journal of Earthquake Engineering, v. 24, n. 9 (mai 2018). (2018):
- Interaction of geometry and mechanical property of trapezoidal sedimentary basins with incident SH waves. Dans: Bulletin of Earthquake Engineering, v. 14, n. 11 (mai 2016). (2016):
- Response of sedimentary basin to obliquely incident SH waves. Dans: Bulletin of Earthquake Engineering, v. 14, n. 3 (novembre 2015). (2015):