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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 comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
Khemraj Shukla, Juan Diego Toscano, Zhicheng Wang, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 431, pp. 117290-117290
Open Access | Times Cited: 14

Showing 14 citing articles:

DeepOKAN: Deep operator network based on Kolmogorov Arnold networks for mechanics problems
Diab W. Abueidda, Panos Pantidis, Mostafa E. Mobasher
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 436, pp. 117699-117699
Open Access | Times Cited: 7
SineKAN: Kolmogorov-Arnold Networks using sinusoidal activation functions
Eric A. F. Reinhardt, Dinesh Ramakrishnan, Sergei V Gleyzer
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access | Times Cited: 1
From PINNs to PIKANs: recent advances in physics-informed machine learning
Juan Diego Toscano, Vivek Oommen, Alan John Varghese, et al.
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Closed Access | Times Cited: 1
Comparison of Kolmogorov–Arnold Network and Multi-Layer Perceptron models for modelling and optimisation analysis of energy systems
Talha Ansar, Waqar Muhammad Ashraf
Energy and AI (2025), pp. 100473-100473
Open Access
Kolmogorov–Arnold PointNet: Deep learning for prediction of fluid fields on irregular geometries
Ali Kashefi
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 439, pp. 117888-117888
Closed Access
Automatic Discovery of Optimal Meta-Solvers Via Multi-Objective Optimization
Youngkyu Lee, Shanqing Liu, Jérôme Darbon, et al.
(2025)
Closed Access
The Mathematics of Kolmogorov-Arnold-Networks versus Artificial Neural Networks
Miquel Noguer I Alonso
(2025)
Closed Access
Three operator learning models for solving boundary integral equations in 2D connected domains
Bin Meng, Yutong Lu, Ying Jiang
Applied Mathematical Modelling (2025), pp. 116034-116034
Closed Access
Multispectral non-line-of-sight imaging via deep fusion photography
Hao Liu, Zhen Xu, Yifan Wei, et al.
Science China Information Sciences (2025) Vol. 68, Iss. 4
Closed Access
A theory of functional connections-based method for orbital pursuit-evasion games with analytic satisfaction of rendezvous constraints
Chengming Zhang, Yanwei Zhu, Leping Yang
Aerospace Science and Technology (2025), pp. 110142-110142
Closed Access
Evaluating Kolmogorov–Arnold Networks for Scientific Discovery: A Simple Yet Effective Approach
Qixuan Sun
(2024)
Open Access
Design and optimization of a novel solenoid with high magnetic uniformity
Xuehua Zhu, Meng Xing, Juntao Ye, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Inferring in vivo murine cerebrospinal fluid flow using artificial intelligence velocimetry with moving boundaries and uncertainty quantification
Juan Diego Toscano, Chenxi Wu, Antonio Ladrón-de-Guevara, et al.
Interface Focus (2024) Vol. 14, Iss. 6
Closed Access
Enhancing Artillery System Analysis through Innovative Neural Networks: A Comparative Study of Kolmogorov–Arnold Networks in Fourier Operators
Tao Liu, Yancheng Li, Liang Chen
Journal of Physics Conference Series (2024) Vol. 2891, Iss. 10, pp. 102017-102017
Open Access
A Kolmogorov-Arnold Networks-Based Model for Forecasting of Natural Gas Consumption
Kürşad Arslan, Emrah Dönmez
(2024)
Closed Access
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