14 citations as recorded by crossref.

1. Uncertainty assessment for 3D geologic modeling of fault zones based on geologic inputs and prior knowledge A. Krajnovich et al. https://doi.org/10.5194/se-11-1457-2020
2. Uncertainty analysis of 3D potential-field deterministic inversion using mixed Lp norms X. Wei & J. Sun https://doi.org/10.1190/geo2020-0672.1
3. Transformer-Model-Based Automatic Aquifer Generalization Using Borehole Logs: A Case Study in a Mining Area in Xingtai, Hebei Province, China Y. Du et al. https://doi.org/10.3390/app16020983
4. Developing meshing workflows in Gmsh v4.11 for the geologic uncertainty assessment of high-temperature aquifer thermal energy storage A. Dashti et al. https://doi.org/10.5194/gmd-17-3467-2024
5. Knowledge-driven stochastic modeling of geological geometry features conditioned on drillholes and outcrop contacts X. Wei et al. https://doi.org/10.1016/j.cageo.2024.105779
6. Uncertainty quantification of geologic model parameters in 3D gravity inversion by Hessian-informed Markov chain Monte Carlo Z. Liang et al. https://doi.org/10.1190/geo2021-0728.1
7. Impact of structural uncertainty on tracer test design in faulted geothermal reservoirs A. Dashti et al. https://doi.org/10.1016/j.geothermics.2022.102607
8. Spatial uncertainty constraints reduce overfitting for potential field geophysical inversion M. Lindsay et al. https://doi.org/10.1093/gji/ggag133
9. 3D probabilistic geology differentiation based on airborne geophysics, mixed Lp norm joint inversion, and physical property measurements X. Wei & J. Sun https://doi.org/10.1190/geo2021-0833.1
10. Optimization of Geological and Mineral Exploration by Integrating Remote Sensing Technology and Borehole Database Y. Niu et al. https://doi.org/10.1155/2022/9717749
11. Geomodelamiento 3D con datos escasos en esquema de código abierto: un caso de estudio en la cuenca de los Llanos en Colombia L. Gómez-Santamaría et al. https://doi.org/10.18273/revbol.v48n1-2026004
12. Constraining stochastic 3-D structural geological models with topology information using approximate Bayesian computation in GemPy 2.1 A. Schaaf et al. https://doi.org/10.5194/gmd-14-3899-2021
13. Introduction: Handling uncertainty in the geosciences: identification, mitigation and communication L. Pérez-Díaz et al. https://doi.org/10.5194/se-11-889-2020
14. Multiscale progressive 3D geological modeling based on isochronous stratigraphy identification in urban underground space Y. Zhang et al. https://doi.org/10.1007/s10064-025-04185-3