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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:

A spectral surrogate model for stochastic simulators computed from trajectory samples
Nora Lüthen, Stefano Marelli, Bruno Sudret
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 406, pp. 115875-115875
Open Access | Times Cited: 18

Showing 18 citing articles:

VpROM: a novel variational autoencoder-boosted reduced order model for the treatment of parametric dependencies in nonlinear systems
Thomas J. Simpson, Konstantinos Vlachas, Anthony Garland, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Polynomial Chaos Surrogate Construction for Random Fields with Parametric Uncertainty
Joy N. Mueller, Khachik Sargsyan, Craig Daniels, et al.
SIAM/ASA Journal on Uncertainty Quantification (2025) Vol. 13, Iss. 1, pp. 1-29
Open Access
Efficient, scalable emulation of stochastic simulators: A mixture density network based surrogate modeling framework
Peng Han, Jize Zhang
Reliability Engineering & System Safety (2025) Vol. 257, pp. 110806-110806
Closed Access
Reduced Order Non-INtrusive modeling methodology formulation and application for mission analysis
Maj Mark Bateman, Dimitri N. Mavris, John M. Colombi, et al.
The Journal of Defense Modeling and Simulation Applications Methodology Technology (2025)
Closed Access
Approximate Bayesian Computation for structural identification of ancient tie-rods using noisy modal data
Silvia Monchetti, Chiara Pepi, Cecilia Viscardi, et al.
Probabilistic Engineering Mechanics (2024) Vol. 77, pp. 103674-103674
Open Access | Times Cited: 3
A new Bayesian sparse polynomial chaos expansion based on Gaussian scale mixture prior model
Yangtian Li, Yangjun Luo, Zheng Zhong, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112511-112511
Closed Access
Mechanical state estimation with a Polynomial-Chaos-Based Statistical Finite Element Method
Vahab B. Narouie, Henning Wessels, Fehmi Cirak, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 441, pp. 117970-117970
Closed Access
Probabilistic estimation of thermal crack propagation in clays with Gaussian processes and random fields
Babak Jamhiri, Yongfu Xu, Mahdi Shadabfar, et al.
Geomechanics for Energy and the Environment (2023) Vol. 34, pp. 100454-100454
Closed Access | Times Cited: 9
STOCHASTIC POLYNOMIAL CHAOS EXPANSIONS TO EMULATE STOCHASTIC SIMULATORS
Xujia Zhu, Bruno Sudret
International Journal for Uncertainty Quantification (2022) Vol. 13, Iss. 2, pp. 31-52
Open Access | Times Cited: 14
Uncertainty Quantification of Vibroacoustics with Deep Neural Networks and Catmull–Clark Subdivision Surfaces
Zhongbin Zhou, Yunfei Gao, Yu Cheng, et al.
Shock and Vibration (2024) Vol. 2024, pp. 1-21
Open Access | Times Cited: 2
On the data-driven description of lattice materials mechanics
Ismael Ben-Yelun, Luis Irastorza-Valera, Luis Saucedo‐Mora, et al.
Results in Engineering (2024) Vol. 22, pp. 102235-102235
Open Access | Times Cited: 2
PROBABILISTIC UNCERTAINTY PROPAGATION USING GAUSSIAN PROCESS SURROGATES
Paolo Manfredi
International Journal for Uncertainty Quantification (2024) Vol. 14, Iss. 6, pp. 71-104
Closed Access | Times Cited: 2
Global sensitivity analysis of the dynamics of a distributed hydrological model at the catchment scale
Katarina Radišić, Émilie Rouzies, Claire Lauvernet, et al.
Socio-Environmental Systems Modeling (2024) Vol. 5, pp. 18570-18570
Open Access | Times Cited: 1
Approximate Bayesian Computation for Structural Identification of Ancient Tie-Rods Using Noisy Modal Data
Chiara Pepi, Silvia Monchetti, Cecilia Viscardi, et al.
(2024)
Closed Access
A bi-fidelity surrogate model for extreme loads on offshore structures
Phong T. T. Nguyen, Lance Manuel
Ocean Engineering (2024) Vol. 307, pp. 118175-118175
Closed Access
Building Surrogate Models Using Trajectories of Agents Trained by Reinforcement Learning
Julen Cestero, Marco Quartulli, Marcello Restelli
Lecture notes in computer science (2024), pp. 340-355
Closed Access
Reliability analysis for data-driven noisy models using active learning
Anderson V. Pires, Maliki Moustapha, Stefano Marelli, et al.
Structural Safety (2024), pp. 102543-102543
Open Access
On the data-driven description of lattice materials mechanics
Ismael Ben-Yelun, Luis Irastorza-Valera, Luis Saucedo‐Mora, et al.
arXiv (Cornell University) (2023)
Open Access
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