Georisk-Assessment and Management of Risk for Engineered Systems and G

Papers
(The H4-Index of Georisk-Assessment and Management of Risk for Engineered Systems and G is 16. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Effects of random heterogeneity of soil on VH failure envelopes of the torpedo anchor36
High-order shape functions-based KL expansion for discretizing irregular and multi-dimensional random fields28
A real-time intelligent classification model using machine learning for tunnel surrounding rock and its application27
Experimental modelling of spudcan penetration in spatially variable soils25
Predicting large diameter pile running in spatially variable soils24
Numerical modelling of the keying process for a suction embedded plate anchor in spatially varying clays24
Generation of 3D subsurface stratigraphic model using boreholes located outside the target site24
Cross-project utilisation of tunnel boring machine (TBM) construction data: a case study using big data from Yin-Song diversion project in China22
Machine learning based subsurface modelling using geological exploration data: a comprehensive review22
Time series analysis and gated recurrent neural network model for predicting landslide displacements22
The modified life cycle cost method for the risk-based design of excavation projects22
Uncertainty quantification of deep learning techniques for predicting V s fr21
Centrifuge shaking table tests on the seismic response of an underground structure in saturated coral sand20
Novel copula-based iHLRF-X algorithm for assessing reliability of geo-structures18
Effect of uncertainties in geometry, inter-layer boundary and shear strength properties on the probabilistic stability of a 3D embankment slope17
Abnormal behaviour in Atatürk dam created by internal erosion17
Characterizing multivariate, asymmetric, and multimodal distributions of geotechnical data with dual-stage missing values: BASIC-H16
Risk prediction of coal mine rock burst based on machine learning and feature selection algorithm16
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