On the public citation graph
Research and Application of Reliability Evaluation Model for Water Inrush Risk During Tunnel Construction
0 signed · 21 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-09060-3_78openalex-snapshot
An Approach on the Types and Mechanisms of Water Inrush in Traffic Tunnel Constructions in China
inferredcites →https://doi.org/10.1007/s11356-012-0744-0openalex-snapshot
Groundwater flow and contaminant transport modeling applications in urban area: scopes and limitations
inferredcites →https://doi.org/10.1007/s12205-017-0611-0openalex-snapshot
A risk prediction method for water or mud inrush from water-bearing faults in subsea tunnel based on cusp catastrophe model
inferredcites →https://doi.org/10.1007/s12205-019-1460-9openalex-snapshot
An ANN to Predict Ground Condition ahead of Tunnel Face using TBM Operational Data
inferredcites →https://doi.org/10.1007/s12517-014-1365-3openalex-snapshot
Risk assessment of water inrush in karst tunnels and software development
inferredcites →https://doi.org/10.1007/s12517-019-4907-xopenalex-snapshot
Model test for water inrush caused by karst caves filled with confined water in tunnels
inferredcites →https://doi.org/10.1016/j.csda.2004.11.006openalex-snapshot
Mining the customer credit using classification and regression tree and multivariate adaptive regression splines
inferredcites →https://doi.org/10.1016/j.jkss.2015.01.003openalex-snapshot
Bias corrections for Random Forest in regression using residual rotation
inferredcites →https://doi.org/10.1016/j.tust.2013.05.001openalex-snapshot
Risk assessment of water inrush in karst tunnels based on attribute synthetic evaluation system
inferredcites →https://doi.org/10.1016/j.tust.2017.06.018openalex-snapshot
Gaussian process model of water inflow prediction in tunnel construction and its engineering applications
inferredcites →https://doi.org/10.1016/s0955-7997(97)00006-4openalex-snapshot
Uncertainty analysis of groundwater flow with DRBEM
inferredcites →https://doi.org/10.1016/s1003-6326(13)62487-5openalex-snapshot
Prediction of rockburst classification using Random Forest
inferredcites →https://doi.org/10.1080/19475705.2020.1722760openalex-snapshot
Risk assessment of water inrush in tunnel through water-rich fault based on AHP-Cloud model
inferredcites →https://doi.org/10.1080/24725854.2017.1348646openalex-snapshot
Modeling tunnel profile in the presence of coordinate errors: A Gaussian process-based approach
inferredcites →https://doi.org/10.1155/2021/9750447openalex-snapshot
Water Inrush Risk Assessment Based on AHP and Advance Forecast Approach: A Case Study in the Micangshan Tunnel
inferredcites →https://doi.org/10.11916/j.issn.1005-9113.2016.01.009openalex-snapshot
Structural Reliability Analysis for Implicit Performance with Legendre Orthogonal Neural Network Method
inferredcites →https://doi.org/10.1214/20-ejs1758openalex-snapshot
Modeling of time series using random forests: Theoretical developments
inferredcites →https://doi.org/10.1287/inte.1050.0152openalex-snapshot
Model World: The Great Debate—MAUT Versus AHP
inferredcites →https://doi.org/10.30638/eemj.2013.210openalex-snapshot
A COUPLED KARST-POROUS GROUNDWATER MODEL BASED ON THE ADAPTED GENERAL HEAD BOUNDARY
inferredcites →https://doi.org/10.3390/w11040831openalex-snapshot
Study on Optimal Allocation of Water Resources Based on Surrogate Model of Groundwater Numerical Simulation
inferredcites →https://doi.org/10.4028/www.scientific.net/kem.474-476.816openalex-snapshot
Reliability and Maintainability Model of Support Object System for Equipment Combat Unit
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.