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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:

Physics-informed variational inference for uncertainty quantification of stochastic differential equations
Hyomin Shin, Minseok Choi
Journal of Computational Physics (2023) Vol. 487, pp. 112183-112183
Closed Access | Times Cited: 12

Showing 12 citing articles:

A PINN approach for identifying governing parameters of noisy thermoacoustic systems
Hwijae Son, Minwoo Lee
Journal of Fluid Mechanics (2024) Vol. 984
Closed Access | Times Cited: 9
Disentangled Representation Aided Physics-Informed Neural Network for Predicting Syngas Compositions of Biomass Gasification
Shaojun Ren, Shiliang Wu, Qihang Weng, et al.
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 2033-2045
Closed Access | Times Cited: 4
Biomass gasification modeling based on physics-informed neural network with constrained particle swarm optimization.
Qihang Weng, Shaojun Ren, Baoyu Zhu, et al.
Energy (2025), pp. 135392-135392
Closed Access
Navigating Forestation Planning in Arid Environments Through Near-Natural Forestation Mapping and Uncertainty Quantification
Jia Qu, Qi Li, Dongwei GUI, et al.
(2025)
Closed Access
Nonparametric formulation of polynomial chaos expansion based on least-square support-vector machines
Paolo Manfredi, Riccardo Trinchero
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108182-108182
Open Access | Times Cited: 3
A hybrid physics-informed machine learning approach for time-dependent reliability assessment of electromagnetic relays
Fabin Mei, Hao Chen, Wenying Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110385-110385
Closed Access | Times Cited: 3
Neural network learning of Black-Scholes equation for option pricing
Daniel de Souza Santos, Tiago A. E. Ferreira
Neural Computing and Applications (2024)
Closed Access | Times Cited: 3
Bayesian Deep Learning Framework for Uncertainty Quantification in Stochastic Partial Differential Equations
Jeahan Jung, Hyomin Shin, Minseok Choi
SIAM Journal on Scientific Computing (2024) Vol. 46, Iss. 1, pp. C57-C76
Closed Access | Times Cited: 3
CEENs: Causality-enforced evolutional networks for solving time-dependent partial differential equations
Jeahan Jung, H.-T. Kim, Hyomin Shin, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 427, pp. 117036-117036
Closed Access | Times Cited: 2
Φ-DVAE: Physics-Informed Dynamical Variational Autoencoders for Unstructured Data Assimilation
Alex Glyn-Davies, Connor Duffin, Ömer Deniz Akyıldız, et al.
Journal of Computational Physics (2024) Vol. 515, pp. 113293-113293
Open Access | Times Cited: 1
Monte Carlo guided Diffusion for Bayesian linear inverse problems
Gabriel Lopes Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Φ-Dvae: Physics-Informed Dynamical Variational Autoencoders for Unstructured Data Assimilation
Alex Glyn-Davies, Connor Duffin, Ömer Deniz Akyıldız, et al.
(2023)
Open Access
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