Mao‐Xin Wang

SS-XGBoost: A Machine Learning Framework for Predicting Newmark Sliding Displacements of Slopes

Mao‐Xin Wang, Duruo Huang, Gang Wang et al. · Journal of Geotechnical and Geoenvironmental Engineering · 2020 · 117 citations

Engineering, Machine Learning, Machine Learning Tool +18

Efficient remediation of crude oil-contaminated soil using a solvent/surfactant system

Mao‐Xin Wang, Bo Zhang, Gongrang Li et al. · RSC Advances · 2019 · 85 citations · Full text

Subset simulation for efficient slope reliability analysis involving copula-based cross-correlated random fields

Mao‐Xin Wang, Xiao-Song Tang, Dian-Qing Li et al. · Computers and Geotechnics · 2019 · 85 citations

Reliability Engineering, Engineering, Multivariate Analysis +11

Effective removal of emulsified oil from oily wastewater using surfactant-modified sepiolite

Yunfei Li, Mao‐Xin Wang, Dejun Sun et al. · Applied Clay Science · 2018 · 82 citations

Chemical Engineering, Engineering, Environmental Engineering +11

Modeling multivariate cross-correlated geotechnical random fields using vine copulas for slope reliability analysis

Xiaosong Tang, Mao‐Xin Wang, Dianqing Li · Computers and Geotechnics · 2020 · 80 citations

Geotechnical Engineering, Rock Slide, Vine Copulas +11