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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Uncertainty estimation for a geological model of the Sandstone greenstone belt, Western Australia – insights from integrated geological and geophysical inversion in a Bayesian inference framework
Florian Wellmann, Miguel de la Varga, Ruth Murdie, et al.
Geological Society London Special Publications (2017) Vol. 453, Iss. 1, pp. 41-56
Open Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

3-D Structural geological models: Concepts, methods, and uncertainties
Florian Wellmann, Guillaume Caumon
Advances in geophysics (2018), pp. 1-121
Open Access | Times Cited: 270
GemPy 1.0: open-source stochastic geological modeling and inversion
Miguel de la Varga, Alexander Schaaf, Florian Wellmann
Geoscientific model development (2019) Vol. 12, Iss. 1, pp. 1-32
Open Access | Times Cited: 155
3D geological structure inversion from Noddy-generated magnetic data using deep learning methods
Jiateng Guo, Yunqiang Li, Mark Jessell, et al.
Computers & Geosciences (2021) Vol. 149, pp. 104701-104701
Closed Access | Times Cited: 67
Learning 3D mineral prospectivity from 3D geological models using convolutional neural networks: Application to a structure-controlled hydrothermal gold deposit
Hao Deng, Yang Zheng, Jin Chen, et al.
Computers & Geosciences (2022) Vol. 161, pp. 105074-105074
Open Access | Times Cited: 50
Bayesian Deep Learning for Spatial Interpolation in the Presence of Auxiliary Information
Charlie Kirkwood, Theo Economou, Nicolas Pugeault, et al.
Mathematical Geosciences (2022) Vol. 54, Iss. 3, pp. 507-531
Open Access | Times Cited: 49
Uncertainty and risk evaluation during the exploration stage of geothermal development: A review
Jeffrey B. Witter, Whitney Trainor‐Guitton, Drew L. Siler
Geothermics (2018) Vol. 78, pp. 233-242
Closed Access | Times Cited: 78
Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models
Hugo K.H. Olierook, R. Scalzo, David Kohn, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 1, pp. 479-493
Open Access | Times Cited: 59
Into the Noddyverse: a massive data store of 3D geological models for machine learning and inversion applications
Mark Jessell, Jiateng Guo, Yunqiang Li, et al.
Earth system science data (2022) Vol. 14, Iss. 1, pp. 381-392
Open Access | Times Cited: 36
Inversion of Structural Geology Data for Fold Geometry
Lachlan Grose, Gautier Laurent, Laurent Aillères, et al.
Journal of Geophysical Research Solid Earth (2018) Vol. 123, Iss. 8, pp. 6318-6333
Open Access | Times Cited: 59
Inversion of geological knowledge for fold geometry
Lachlan Grose, Laurent Aillères, Gautier Laurent, et al.
Journal of Structural Geology (2018) Vol. 119, pp. 1-14
Open Access | Times Cited: 55
Integration of geoscientific uncertainty into geophysical inversion by means of local gradient regularization
Jérémie Giraud, Mark Lindsay, Vitaliy Ogarko, et al.
Solid Earth (2019) Vol. 10, Iss. 1, pp. 193-210
Open Access | Times Cited: 53
Assessing and visualizing uncertainty of 3D geological surfaces using level sets with stochastic motion
Liang Yang, David Hyde, Ognjen Grujic, et al.
Computers & Geosciences (2018) Vol. 122, pp. 54-67
Closed Access | Times Cited: 49
Automated geological map deconstruction for 3D model construction using <i>map2loop</i> 1.0 and <i>map2model</i> 1.0
Mark Jessell, Vitaliy Ogarko, Yohan de Rose, et al.
Geoscientific model development (2021) Vol. 14, Iss. 8, pp. 5063-5092
Open Access | Times Cited: 40
Integration of automatic implicit geological modelling in deterministic geophysical inversion
Jérémie Giraud, Guillaume Caumon, Lachlan Grose, et al.
Solid Earth (2024) Vol. 15, Iss. 1, pp. 63-89
Open Access | Times Cited: 6
Quantification of uncertainty in 3-D seismic interpretation: implications for deterministic and stochastic geomodeling and machine learning
Alexander Schaaf, Clare E. Bond
Solid Earth (2019) Vol. 10, Iss. 4, pp. 1049-1061
Open Access | Times Cited: 41
Quantitative interpretation of geoelectric inverted data with a robust probabilistic approach
Itzel Isunza Manrique, David Caterina, Frédéric Nguyen, et al.
Geophysics (2023) Vol. 88, Iss. 3, pp. B73-B88
Open Access | Times Cited: 13
A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China
Baoyi Zhang, Kun Xu, Umair Khan, et al.
Ore Geology Reviews (2023) Vol. 163, pp. 105788-105788
Open Access | Times Cited: 13
3D structural modeling integrated with seismic attribute and petrophysical evaluation for hydrocarbon prospecting at the Dhulian Oilfield, Pakistan
Umair Khan, Baoyi Zhang, DU Jiang-feng, et al.
Frontiers of Earth Science (2021) Vol. 15, Iss. 3, pp. 649-675
Closed Access | Times Cited: 27
Informed Local Smoothing in 3D Implicit Geological Modeling
Jan von Harten, Miguel de la Varga, M. J. Hillier, et al.
Minerals (2021) Vol. 11, Iss. 11, pp. 1281-1281
Open Access | Times Cited: 24
3D modeling of detachment faults in the Jiaodong gold province, eastern China: A Bayesian inference perspective and its exploration implications
Juexuan Huang, Hao Deng, Xiancheng Mao, et al.
Ore Geology Reviews (2023) Vol. 154, pp. 105307-105307
Open Access | Times Cited: 10
Incorporating geological structure into sensitivity analysis of subsurface contaminant transport
Lisa Bigler, Tara LaForce, Laura Swiler
Advances in Water Resources (2025) Vol. 196, pp. 104885-104885
Closed Access
Estimating relative uncertainty of geological 3D models with low density of input data in geologically complex regions
František Staněk, Jan Franěk, Jan Jelı́nek, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access
Combining 3‐D Probabilistic Kinematic Modeling With Thermal Resetting Measurements: An Approach to Reduce Uncertainty in Exhumation Histories
Sofia Brisson, Denise Degen, David M. Nathan, et al.
Geochemistry Geophysics Geosystems (2025) Vol. 26, Iss. 3
Open Access
Using 3D models to test geological hypotheses for sill complex geometries: application to Jurassic dolerite intrusions, Tasmania.
Fernanda Alvarado-Neves, Laurent Aillères, Lachlan Grose, et al.
Journal of Structural Geology (2025), pp. 105420-105420
Closed Access
Two-Dimensional Stochastic Structural Geomodeling with Deep Generative Adversarial Networks
Charlie Garayt, Nicolas Desassis, Samy Blusseau, et al.
Mathematical Geosciences (2025)
Open Access
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