Underground Space

Papers
(The H4-Index of Underground Space is 30. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Soft computing approach for prediction of surface settlement induced by earth pressure balance shield tunneling154
Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization151
Deformation analysis and safety assessment of existing metro tunnels affected by excavation of a foundation pit97
Rockburst in underground excavations: A review of mechanism, classification, and prediction methods80
Underground space use of urban built-up areas in the central city of Nanjing: Insight based on a dynamic population distribution80
Scientific problems and research proposals for Sichuan–Tibet railway tunnel construction75
Stability analysis of underground mine hard rock pillars via combination of finite difference methods, neural networks, and Monte Carlo simulation techniques69
Centrifuge modelling of tunnelling below existing twin tunnels with different types of support66
Assessment of basal heave stability for braced excavations in anisotropic clay using extreme gradient boosting and random forest regression59
Use of soft computing techniques for tunneling optimization of tunnel boring machines55
Prediction of lining response for twin tunnels constructed in anisotropic clay using machine learning techniques50
TBM penetration rate prediction based on the long short-term memory neural network49
Tunneling and deep excavations in spatially variable soil and rock masses: A short review49
Long rectangular box jacking project: A case study48
Design equation for stability of a circular tunnel in anisotropic and heterogeneous clay46
Unpacking data-centric geotechnics45
Evaluation of the propensity of strain burst in brittle granite based on post-peak energy analysis41
Intelligent rockburst prediction model with sample category balance using feedforward neural network and Bayesian optimization41
Numerical simulation and analysis of the pile underpinning technology used in shield tunnel crossings on bridge pile foundations39
State of the art review of the large deformation rock bolts37
An improved artificial bee colony-random forest (IABC-RF) model for predicting the tunnel deformation due to an adjacent foundation pit excavation37
Effect of rock bolt support mechanism on tunnel deformation in jointed rockmass: A numerical approach37
Three-dimensional theoretical analysis of seepage field in front of shield tunnel face34
Significance and methodology: Preprocessing the big data for machine learning on TBM performance33
Novel SfM-DLT method for metro tunnel 3D reconstruction and Visualization32
Effects of underground explosions on soil and structures32
Neural network and support vector machine models for the prediction of the liquefaction-induced uplift displacement of tunnels32
Feedback on a shared big dataset for intelligent TBM Part I: Feature extraction and machine learning methods31
Seismic behaviors of utility tunnel-soil system: With and without joint connections31
3D reconstruction and automatic leakage defect quantification of metro tunnel based on SfM-Deep learning method30
Experimental and numerical studies of the blast-induced overbreak and underbreak in underground roadways30
Fragility assessment of tunnels in soft soils using artificial neural networks30
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