16 citations as recorded by crossref.

1. A deep learning-driven three-dimensional geological modeling method using sparse borehole sampling data Z. He et al.
2. Using 3D models to test geological hypotheses for sill complex geometries: Application to Jurassic dolerite intrusions, Tasmania F. Alvarado-Neves et al.
3. GeoINR 1.0: an implicit neural network approach to three-dimensional geological modelling M. Hillier et al.
4. Curlew 1.0: Spatio-temporal implicit geological modelling with neural fields in python A. Kamath et al.
5. Three-dimensional geological modelling of igneous intrusions in LoopStructural v1.5.10 F. Alvarado-Neves et al.
6. Integrated framework for geological modeling: integration of data, knowledge, and methods H. Li et al.
7. A seamless geo-flow modelling workflow to tackle structural uncertainty using LoopStructural and MODFLOW K. Bardot et al.
8. DeepISMNet: three-dimensional implicit structural modeling with convolutional neural network Z. Bi et al.
9. The influence of variable anisotropic search parameters on implicitly-modelled volumes and estimated contained metal in a structurally-complex gold deposit B. Stoch et al.
10. Structural geologic modeling and restoration using ensemble Kalman inversion D. Oakley et al.
11. Unraveling the uncertainty of geological interfaces through data-knowledge-driven trend surface analysis L. Wang et al.
12. Fault-sketch: A framework for modeling geological faults and displacements A. Banaeizadeh et al.
13. AdaHRBF v1.0: gradient-adaptive Hermite–Birkhoff radial basis function interpolants for three-dimensional stratigraphic implicit modeling B. Zhang et al.
14. Knowledge-driven stochastic modeling of geological geometry features conditioned on drillholes and outcrop contacts X. Wei et al.
15. Three-Dimensional Geologic Modeling of the Kiruna Mining District, Sweden: Insights into the Crustal Architecture and Structural Controls on Iron Oxide-Apatite Mineralization E. Veress et al.
16. Fault representation in structural modelling with implicit neural representations K. Gao & F. Wellmann