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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:

GP+: A Python library for kernel-based learning via Gaussian processes
Amin Yousefpour, Zahra Zanjani Foumani, Mehdi H. Shishehbor, et al.
Advances in Engineering Software (2024) Vol. 195, pp. 103686-103686
Open Access | Times Cited: 12

Showing 12 citing articles:

Adaptive sampling-based surrogate modeling for composite performance prediction
Satyajit Mojumder, Alberto Ciampaglia
Computational Materials Science (2025) Vol. 250, pp. 113667-113667
Closed Access | Times Cited: 1
Heteroscedastic Gaussian Process Regression for material structure–property relationship modeling
Ozge Ozbayram, Audrey Olivier, Lori Graham‐Brady
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 431, pp. 117326-117326
Closed Access | Times Cited: 4
Simultaneous and meshfree topology optimization with physics-informed Gaussian processes
Amin Yousefpour, Shirin Hosseinmardi, Carlos Mora, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117698-117698
Closed Access
Interpretable multi-source data fusion through Latent Variable Gaussian Process
Sandipp Krishnan Ravi, Yigitcan Comlek, Arjun K. Pathak, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110033-110033
Closed Access
A comparative study of acquisition functions for active learning kriging in reliability-based design optimization
Todd Thompson, Robert L. McMullen, Venkat Pavan Nemani, et al.
Structural and Multidisciplinary Optimization (2025) Vol. 68, Iss. 3
Closed Access
Iterative machine learning control of the hollow cathode plume mode using Gaussian Process Regression
J. W. Brooks, Christine M. Greve, Marcel P. Georgin
Journal of Electric Propulsion (2025) Vol. 4, Iss. 1
Open Access
Parametric encoding with attention and convolution mitigate spectral bias of neural partial differential equation solvers
Mehdi Shishehbor, Shirin Hosseinmardi, Ramin Bostanabad
Structural and Multidisciplinary Optimization (2024) Vol. 67, Iss. 7
Closed Access | Times Cited: 3
Variational Bayesian surrogate modelling with application to robust design optimisation
Thomas Archbold, Ieva Kazlauskaite, Fehmi Cirak
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 432, pp. 117423-117423
Open Access | Times Cited: 1
A gaussian process framework for solving forward and inverse problems involving nonlinear partial differential equations
Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, et al.
Computational Mechanics (2024)
Closed Access | Times Cited: 1
Deep material network for thermal conductivity problems: Application to woven composites
Dongil Shin, Peter Creveling, Scott Alan Roberts, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 431, pp. 117279-117279
Open Access
Operator learning with Gaussian processes
Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 434, pp. 117581-117581
Open Access
Scalable Bayesian optimization based on exploitation-enhanced sparse Gaussian process
İbrahim Aydoğdu, Yan Wang
Structural and Multidisciplinary Optimization (2024) Vol. 67, Iss. 12
Closed Access
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