13 citations as recorded by crossref.

1. Fault representation in structural modelling with implicit neural representations K. Gao & F. Wellmann 10.1016/j.cageo.2025.105911
2. Checking the consistency of 3D geological models M. Parquer et al. 10.5194/gmd-18-71-2025
3. Developing a 3D hydrostratigraphical model of the emerged part of the Pelotas Basin along the northern coast of Rio Grande do Sul state, Brazil L. Marquetto et al. 10.1007/s12665-024-11609-y
4. Informed Local Smoothing in 3D Implicit Geological Modeling J. von Harten et al. 10.3390/min11111281
5. Incorporating geological structure into sensitivity analysis of subsurface contaminant transport L. Bigler et al. 10.1016/j.advwatres.2024.104885
6. Machine Learning Methods for Multiscale Physics and Urban Engineering Problems S. Sharma et al. 10.3390/e24081134
7. The Geodynamic World Builder: A planetary structure creator for the geosciences M. Fraters et al. 10.21105/joss.06671
8. Estimating uncertainties in 3-D models of complex fold-and-thrust belts: A case study of the Eastern Alps triangle zone S. Brisson et al. 10.1016/j.acags.2023.100115
9. Bayesian Deep Learning for Spatial Interpolation in the Presence of Auxiliary Information C. Kirkwood et al. 10.1007/s11004-021-09988-0
10. 3D structural modeling for seismic exploration based on knowledge graphs X. Zhan et al. 10.1190/geo2020-0924.1
11. Geodynamic Modeling With Uncertain Initial Geometries A. Spang et al. 10.1029/2021GC010265
12. Impact of structural uncertainty on tracer test design in faulted geothermal reservoirs A. Dashti et al. 10.1016/j.geothermics.2022.102607
13. A hybrid ensemble-based automated deep learning approach to generate 3D geo-models and uncertainty analysis A. Abbaszadeh Shahri et al. 10.1007/s00366-023-01852-5