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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:

Regression-based sparse polynomial chaos for uncertainty quantification of subsurface flow models
Alexander O. Tarakanov, Ahmed H. Elsheikh
Journal of Computational Physics (2019) Vol. 399, pp. 108909-108909
Open Access | Times Cited: 22

Showing 22 citing articles:

Subsurface sedimentary structure identification using deep learning: A review
Chuanjun Zhan, Zhenxue Dai, Zhijie Yang, et al.
Earth-Science Reviews (2023) Vol. 239, pp. 104370-104370
Closed Access | Times Cited: 44
Uncertainty quantification and propagation in surrogate-based Bayesian inference
Philipp Reiser, Javier Enrique Aguilar, Anneli Guthke, et al.
Statistics and Computing (2025) Vol. 35, Iss. 3
Open Access
Parametrization of Stochastic Inputs Using Generative Adversarial Networks With Application in Geology
Shing Chan, Ahmed H. Elsheikh
Frontiers in Water (2020) Vol. 2
Open Access | Times Cited: 35
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark
Nora Lüthen, Stefano Marelli, Bruno Sudret
SIAM/ASA Journal on Uncertainty Quantification (2021) Vol. 9, Iss. 2, pp. 593-649
Open Access | Times Cited: 31
A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms
Paul‐Christian Bürkner, Ilja Kröker, Sergey Oladyshkin, et al.
Journal of Computational Physics (2023) Vol. 488, pp. 112210-112210
Open Access | Times Cited: 8
Uncertainty quantification and global sensitivity analysis of double-diffusive natural convection in a porous enclosure
Mohammad Mahdi Rajabi, Marwan Fahs, Aref Panjehfouladgaran, et al.
International Journal of Heat and Mass Transfer (2020) Vol. 162, pp. 120291-120291
Open Access | Times Cited: 21
Investigation on uncertainty quantification of transonic airfoil using compressive sensing greedy reconstruction algorithms
Hu Handuo, Yanping Song, Jianyang Yu, et al.
Aerospace Science and Technology (2024) Vol. 147, pp. 109000-109000
Closed Access | Times Cited: 2
Optimal Bayesian experimental design for subsurface flow problems
Alexadner Tarakanov, Ahmed H. Elsheikh
Computer Methods in Applied Mechanics and Engineering (2020) Vol. 370, pp. 113208-113208
Open Access | Times Cited: 17
Upscaling Shear Strength of Heterogeneous Oil Sands with Interbedded Shales Using Artificial Neural Network
Bo Zhang, Zhiwei Ma, Dongming Zheng, et al.
SPE Journal (2022) Vol. 28, Iss. 02, pp. 737-753
Closed Access | Times Cited: 8
A multivariate Jacobi polynomials regression estimator associated with an ANOVA decomposition model
Mohamed Jebalia, Abderrazek Karoui
Metrika (2024)
Closed Access | Times Cited: 1
Multi-Objective Approach for Optimizing Production Parameters of Low-Permeability Oil Well to Enhance Energy Efficiency
Peijin Liu, Haojian Ding, Dongyang Yan, et al.
Journal of Shanghai Jiaotong University (Science) (2024)
Closed Access | Times Cited: 1
Non-gaussian hydraulic conductivity and potential contaminant source identification: A comparison of two advanced DLPM-based inversion framework
Xun Zhang, Simin Jiang, Junze Wei, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131540-131540
Closed Access | Times Cited: 1
Physically interpretable machine learning algorithm on multidimensional non-linear fields
Rem-Sophia Mouradi, Cédric Goeury, Olivier Thual, et al.
Journal of Computational Physics (2021) Vol. 428, pp. 110074-110074
Open Access | Times Cited: 10
A generalized multi-fidelity simulation method using sparse polynomial chaos expansion
Jun Man, Guang Lin, Yijun Yao, et al.
Journal of Computational and Applied Mathematics (2021) Vol. 397, pp. 113613-113613
Closed Access | Times Cited: 6
Design optimization of external engagement cylindrical gear flowmeter under uncertainty
Lintao Wang, Fengzhang Zhu, Ning Hao, et al.
Structural and Multidisciplinary Optimization (2024) Vol. 67, Iss. 4
Closed Access
A study of fractional optimal control of overweight and obesity in a community and its impact on the diagnosis of diabetes
Erick Manuel Delgado Moya, Ranses Alfonso Rodriguez, Alain Piétrus, et al.
Mathematical Modelling and Numerical Simulation with Applications (2024) Vol. 4, Iss. 4, pp. 514-543
Closed Access
Towards Practical Large-Scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification
Nathaniel Pritchard, Vivak Patel
SIAM/ASA Journal on Uncertainty Quantification (2023) Vol. 11, Iss. 3, pp. 996-1024
Open Access | Times Cited: 1
Optimized sparse polynomial chaos expansion with entropy regularization
Sijie Zeng, Xiaojun Duan, Jiangtao Chen, et al.
Advances in Aerodynamics (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 2
Special Issue: Advanced numerical modeling and algorithms for multiphase flow and transport
Yalchin Efendiev, Abbas Firoozabadi, Shuyu Sun, et al.
Journal of Computational Physics (2020) Vol. 408, pp. 109222-109222
Closed Access | Times Cited: 1
Solution-Space-Reduction-Based Evidence Theory Method for Stiffness Evaluation of Air Springs with Epistemic Uncertainty
Shengwen Yin, Keliang Jin, Yu Bai, et al.
Mathematics (2023) Vol. 11, Iss. 5, pp. 1214-1214
Open Access
Data-driven sparse polynomial chaos expansion for models with dependent inputs
Zhanlin Liu, Youngjun Choe
Journal of Safety Science and Resilience (2023) Vol. 4, Iss. 4, pp. 358-365
Open Access
Optimized Sparse Polynomial Chaos Expansion With Entropy Regularization
Sijie Zeng, Xiaojun Duan, JiangTao Chen, et al.
Research Square (Research Square) (2021)
Open Access
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