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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:

Efficiency and robustness in Monte Carlo sampling for 3-D geophysical inversions with Obsidian v0.1.2: setting up for success
R. Scalzo, David Kohn, Hugo K.H. Olierook, et al.
Geoscientific model development (2019) Vol. 12, Iss. 7, pp. 2941-2960
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Simulation-based mineral prospectivity modeling and Gray Wolf optimization algorithm for delimiting exploration targets
Kamran Mostafaei, Mahyar Yousefi, Oliver P. Kreuzer, et al.
Ore Geology Reviews (2025), pp. 106458-106458
Open Access | Times Cited: 3
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
Bayesian Neural Networks via MCMC: A Python-Based Tutorial
Rohitash Chandra, Joshua A. Simmons
IEEE Access (2024) Vol. 12, pp. 70519-70549
Open Access | Times Cited: 7
Precipitation reconstruction from climate-sensitive lithologies using Bayesian machine learning
Rohitash Chandra, Sally Cripps, N. P. Butterworth, et al.
Environmental Modelling & Software (2021) Vol. 139, pp. 105002-105002
Closed Access | Times Cited: 33
Uncertainty analysis of 3D potential-field deterministic inversion using mixed Lp norms
Xiaolong Wei, Jiajia Sun
Geophysics (2021) Vol. 86, Iss. 6, pp. G133-G158
Closed Access | Times Cited: 25
Bayesreef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics
Jodie Pall, Rohitash Chandra, Danial Azam, et al.
Environmental Modelling & Software (2020) Vol. 125, pp. 104610-104610
Open Access | Times Cited: 26
Transdimensional and Hamiltonian Monte Carlo inversions of Rayleigh‐wave dispersion curves: a comparison on synthetic datasets
Mattia Aleardi, Alessandro Salusti, Silvio Pierini
Near Surface Geophysics (2020) Vol. 18, Iss. 5, pp. 515-543
Closed Access | Times Cited: 24
Bayesian neural multi-source transfer learning
Rohitash Chandra, Arpit Kapoor
Neurocomputing (2019) Vol. 378, pp. 54-64
Closed Access | Times Cited: 23
Geophysical inversion for 3D contact surface geometry
Christopher Galley, Peter G. Lelièvre, Colin G. Farquharson
Geophysics (2020) Vol. 85, Iss. 6, pp. K27-K45
Closed Access | Times Cited: 22
Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models
R. Scalzo, Mark Lindsay, Mark Jessell, et al.
Geoscientific model development (2022) Vol. 15, Iss. 9, pp. 3641-3662
Open Access | Times Cited: 13
Multicore Parallel Tempering Bayeslands for Basin and Landscape Evolution
Rohitash Chandra, R. Dietmar Müller, Danial Azam, et al.
Geochemistry Geophysics Geosystems (2019) Vol. 20, Iss. 11, pp. 5082-5104
Open Access | Times Cited: 21
3D Mineral Prospectivity Modeling for the Low-Sulfidation Epithermal Gold Deposit: A Case Study of the Axi Gold Deposit, Western Tianshan, NW China
Xiancheng Mao, Wei Zhang, Zhankun Liu, et al.
Minerals (2020) Vol. 10, Iss. 3, pp. 233-233
Open Access | Times Cited: 20
Combining discrete cosine transform and convolutional neural networks to speed up the Hamiltonian Monte Carlo inversion of pre‐stack seismic data
Mattia Aleardi
Geophysical Prospecting (2020) Vol. 68, Iss. 9, pp. 2738-2761
Closed Access | Times Cited: 20
Bayesian inversion of magnetotelluric data considering dimensionality discrepancies
Hoël Seillé, Gerhard Visser
Geophysical Journal International (2020) Vol. 223, Iss. 3, pp. 1565-1583
Open Access | Times Cited: 20
A geostatistical Markov chain Monte Carlo inversion algorithm for electrical resistivity tomography
Mattia Aleardi, Alessandro Vinciguerra, A. Hojat
Near Surface Geophysics (2020) Vol. 19, Iss. 1, pp. 7-26
Closed Access | Times Cited: 16
Application of Knowledge-Driven Methods for Mineral Prospectivity Mapping of Polymetallic Sulfide Deposits in the Southwest Indian Ridge between 46° and 52°E
Yao Ma, Jiangnan Zhao, Yu Sui, et al.
Minerals (2020) Vol. 10, Iss. 11, pp. 970-970
Open Access | Times Cited: 16
Uncertainty assessment for 3D geologic modeling of fault zones based on geologic inputs and prior knowledge
Ashton Krajnovich, Wendy Zhou, Marte Gutierrez
Solid Earth (2020) Vol. 11, Iss. 4, pp. 1457-1474
Open Access | Times Cited: 15
Surrogate-assisted Bayesian inversion for landscape and basin evolution models
Rohitash Chandra, Danial Azam, Arpit Kapoor, et al.
Geoscientific model development (2020) Vol. 13, Iss. 7, pp. 2959-2979
Open Access | Times Cited: 14
Discrete cosine transform for parameter space reduction in linear and non-linear AVA inversions
Mattia Aleardi
Journal of Applied Geophysics (2020) Vol. 179, pp. 104106-104106
Closed Access | Times Cited: 14
Uncertainty quantification of geologic model parameters in 3D gravity inversion by Hessian-informed Markov chain Monte Carlo
Zhouji Liang, Florian Wellmann, Omar Ghattas
Geophysics (2022) Vol. 88, Iss. 1, pp. G1-G18
Closed Access | Times Cited: 9
Utilisation of probabilistic magnetotelluric modelling to constrain magnetic data inversion: proof-of-concept and field application
Jérémie Giraud, Hoël Seillé, Mark Lindsay, et al.
Solid Earth (2023) Vol. 14, Iss. 1, pp. 43-68
Open Access | Times Cited: 5
Three-dimensional weights of evidence modelling of a deep-seated porphyry Cu deposit
Ehsan Farahbakhsh, Ardeshir Hezarkhani, Taymour Eslamkish, et al.
Geochemistry Exploration Environment Analysis (2020) Vol. 20, Iss. 4, pp. 480-495
Open Access | Times Cited: 12
Assessing geometrical uncertainties in geological interface models using Markov chain Monte Carlo sampling via abstract graph
Juexuan Huang, Hao Deng, Jin Chen, et al.
Tectonophysics (2023) Vol. 864, pp. 230032-230032
Closed Access | Times Cited: 4
Surrogate-assisted parallel tempering for Bayesian neural learning
Rohitash Chandra, Konark Jain, Arpit Kapoor, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 94, pp. 103700-103700
Open Access | Times Cited: 9
Discrete cosine transform for parameter space reduction in Bayesian electrical resistivity tomography
Alessandro Vinciguerra, Mattia Aleardi, A. Hojat, et al.
Geophysical Prospecting (2021) Vol. 70, Iss. 1, pp. 193-209
Open Access | Times Cited: 8
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