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:

An efficient quantum partial differential equation solver with chebyshev points
Furkan Oz, Omer San, Kursat Kara
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14

Showing 14 citing articles:

Quantum computing for nonlinear differential equations and turbulence
Felix Tennie, Sylvain Laizet, Seth Lloyd, et al.
Nature Reviews Physics (2025)
Closed Access | Times Cited: 3

Hybrid quantum algorithms for flow problems
Sachin S. Bharadwaj, Katepalli R. Sreenivasan
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 49
Open Access | Times Cited: 22

A fast quantum algorithm for solving partial differential equations
Azim Farghadan, Mohammadmahdi Farahani, Mohsen Akbari
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Efficient quantum state preparation with Walsh series
Julien Zylberman, Fabrice Debbasch
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 4
Open Access | Times Cited: 4

A Quantum Approach for Exploring the Numerical Results of the Heat Equation
Beimbet Daribayev, Aksultan Mukhanbet, Nurtugan Azatbekuly, et al.
Algorithms (2024) Vol. 17, Iss. 8, pp. 327-327
Open Access | Times Cited: 3

Solving the Hele–Shaw flow using the Harrow–Hassidim–Lloyd algorithm on superconducting devices: A study of efficiency and challenges
Muralikrishnan Gopalakrishnan Meena, Kalyana C. Gottiparthi, Justin G. Lietz, et al.
Physics of Fluids (2024) Vol. 36, Iss. 10
Closed Access | Times Cited: 1

Physics-informed quantum neural network for solving forward and inverse problems of partial differential equations
Yang Xiao, Liming Yang, C. Shu, et al.
Physics of Fluids (2024) Vol. 36, Iss. 9
Closed Access

Quantum computing for partial differential equations in practice
Norbert Neumann, Jasper Verbree, Carmen Rosa Hoek
(2024), pp. 22-22
Closed Access

Global Roots and Poles Finding Algorithm on Quantum Computer
Jakub Buczkowski, Tomasz Koźmiński, Filip Szczepański, et al.
IEEE Access (2024) Vol. 12, pp. 181041-181051
Open Access

Self-adaptive physics-Informed quantum machine learning for solving differential equations
A. K. Setty, Rasul Abdusalamov, Felix Motzoi
Machine Learning Science and Technology (2024) Vol. 6, Iss. 1, pp. 015002-015002
Open Access

Towards a Quantum Algorithm for the Incompressible Nonlinear Navier-Stokes Equations
Muralikrishnan Gopalakrishnan Meena, Yu Zhang, Weiwen Jiang, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2024), pp. 662-668
Closed Access

Hybrid quantum algorithms for flow problems
Sachin S. Bharadwaj, Katepalli R. Sreenivasan
arXiv (Cornell University) (2023)
Open Access

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