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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:

Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
Nick McGreivy, Ammar Hakim
Nature Machine Intelligence (2024) Vol. 6, Iss. 10, pp. 1256-1269
Closed Access | Times Cited: 17

Showing 17 citing articles:

Adaptive finite element interpolated neural networks
Santiago Badia, Wei Li, Alberto F. Martı́n
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117806-117806
Open Access | Times Cited: 1
Recent Advances in Machine Learning‐Assisted Multiscale Design of Energy Materials
Bohayra Mortazavi
Advanced Energy Materials (2024)
Open Access | Times Cited: 6
A Noise-Robust Approach Using Dynamic Graph Neural Networks for Bus Passenger Flow Prediction
Xinyi Zhou, Siyu Sun, Nizar Bouguila, et al.
(2025)
Closed Access
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks
Kyle R. Chickering
(2025)
Open Access
Machine learning stochastic dynamics
Ying Tang
Zhongguo kexue. Wulixue Lixue Tianwenxue (2025) Vol. 55, Iss. 10, pp. 100501-100501
Closed Access
Neural quantum propagators for driven-dissipative quantum dynamics
Jiaji Zhang, Carlos L. Benavides-Riveros, Lipeng Chen
Physical Review Research (2025) Vol. 7, Iss. 1
Open Access
Causality enforcing parametric heat transfer solvers for evolving geometries in advanced manufacturing
Akshay J. Thomas, Ilias Bilionis, Eduardo Barocio, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117764-117764
Closed Access
Machine learning solutions looking for PDE problems

Nature Machine Intelligence (2025) Vol. 7, Iss. 1, pp. 1-1
Closed Access
Adopting Computational Fluid Dynamics Concepts for Physics-Informed Neural Networks
Simon Wassing, Stefan Langer, Philipp Bekemeyer
AIAA SCITECH 2022 Forum (2025)
Closed Access
Application of zonal Reduced-Order-Modeling to tire rolling simulation
David Danan, Raphaël Meunier, Thibault Dairay, et al.
Finite Elements in Analysis and Design (2025) Vol. 246, pp. 104330-104330
Closed Access
Accurate, scalable, and efficient Bayesian optimal experimental design with derivative-informed neural operators
Jinwoo Go, Peng Chen
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 438, pp. 117845-117845
Closed Access
Neural operator-based super-fidelity: A warm-start approach for accelerating steady-state simulations
Xu‐Hui Zhou, Jiequn Han, Muhammad I. Zafar, et al.
Journal of Computational Physics (2025), pp. 113871-113871
Closed Access
RoePINNs: An integration of advanced CFD solvers with Physics-Informed Neural Networks and application in arterial flow modeling
Javier Orera, Julia Ramírez, P. Garcı́a-Navarro, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 440, pp. 117933-117933
Closed Access
Multi-patch Isogeometric convolution hierarchical deep-learning neural network
Lei Zhang, Chanwook Park, Thomas J.R. Hughes, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 434, pp. 117582-117582
Open Access | Times Cited: 2
Machine Learning to speed up Computational Fluid Dynamics engineering simulations for built environments: A review
Clément Caron, Philippe Lauret, Alain Bastide
Building and Environment (2024) Vol. 267, pp. 112229-112229
Open Access | Times Cited: 1
Developing physics-informed neural networks for model predictive control of periodic counter-current chromatography
S. H. Tang, Yun-Hao Yuan, Yan-Na Sun, et al.
Journal of Chromatography A (2024) Vol. 1739, pp. 465514-465514
Closed Access | Times Cited: 1
Application of Zonal Reduced-Order-Modelling to Tire Rolling Simulation
David Danan, Raphael Meunier, Thomas Homolle, et al.
(2024)
Closed Access
Envisioning better benchmarks for machine learning PDE solvers
Johannes Brandstetter
Nature Machine Intelligence (2024)
Closed Access
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