12 citations as recorded by crossref.

1. Combination models of random forest for predicting seismic liquefaction based on SPT, CPT, Vs databases considering sampling strategies J. Hu et al.
2. Seismic Liquefaction Analysis of MCDM Weighted SPT Data Using Support Vector Machine Classification V. Alla et al.
3. Evaluation of liquefaction-induced lateral displacement using Bayesian belief networks M. Ahmad et al.
4. A New Approach of Hybrid Bee Colony Optimized Neural Computing to Estimate the Soil Compression Coefficient for a Housing Construction Project P. Samui et al.
5. A Bayesian decision network–based pre-disaster mitigation model for earthquake-induced cascading events to balance costs and benefits on a limited budget W. Gu et al.
6. Interpretive Structural Modeling and MICMAC Analysis for Identifying and Benchmarking Significant Factors of Seismic Soil Liquefaction M. Ahmad et al.
7. Bayesian network models for probabilistic evaluation of earthquake-induced liquefaction based on CPT and Vs databases J. Hu & H. Liu
8. Evaluating Seismic Soil Liquefaction Potential Using Bayesian Belief Network and C4.5 Decision Tree Approaches M. Ahmad et al.
9. Cone penetration test-based assessment of liquefaction potential using machine and hybrid learning approaches J. Khatti et al.
10. Assessment of Soil Liquefaction Potential in Kamra, Pakistan M. Ahmad et al.
11. Application of artificial intelligence in geotechnical engineering: A state-of-the-art review A. Baghbani et al.
12. Geotechnical assessment of seismicity and liquefaction potential at the Banarli landfill in Tekirdag, Turkey M. Kim et al.