Open Access Helper

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.

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Showing 9 citing articles:

Prediction of electrode microstructure evolutions with physically constrained unsupervised image-to-image translation networks
Anna Ściążko, Yosuke Komatsu, Takaaki Shimura, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 4
Advancing Porous Electrode Design for PEM Fuel Cells: From Physics to Artificial Intelligence
Guofu Ren, Zhiguo Qu, Zhiqiang Niu, et al.
Electrochemical Energy Reviews (2025) Vol. 8, Iss. 1
Closed Access
Topology-informed machine learning for efficient prediction of solid oxide fuel cell electrode polarization
Maksym Szemer, Szymon Buchaniec, Tomasz Prokop, et al.
Energy and AI (2025), pp. 100495-100495
Open Access
A parametric analysis of the long term performance of a solid oxide fuel cell anode
Tomasz Prokop, Szymon Buchaniec, Janusz S. Szmyd, et al.
International Journal of Heat and Fluid Flow (2024) Vol. 110, pp. 109583-109583
Open Access | Times Cited: 2
Modeling the Production Process of Fuel Gas, LPG, Propylene, and Polypropylene in a Petroleum Refinery Using Generalized Nets
Danail D. Stratiev, Angel Dimitriev, Dicho Stratiev, et al.
Mathematics (2023) Vol. 11, Iss. 17, pp. 3800-3800
Open Access | Times Cited: 5
Combining physical modeling and machine learning for micro-scale modeling of a fuel cell electrode
Grzegorz Brus
Journal of Physics Conference Series (2024) Vol. 2812, Iss. 1, pp. 012004-012004
Open Access | Times Cited: 1
A Novel Adaptive Neural Network-Based Thermoelectric Parameter Prediction Method for Enhancing Solid Oxide Fuel Cell System Efficiency
Yaping Wu, Xiaolong Wu, Yuanwu Xu, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14402-14402
Open Access | Times Cited: 2
Integrating Experimental and Numerical Data for Improved Steam Reforming Simulation with Deep Learning
Zofia Pizoń, Shinji Kimijima, Grzegorz Brus
Journal of Physics Conference Series (2024) Vol. 2812, Iss. 1, pp. 012024-012024
Open Access
Heat pipe for thermally coupled fuel cell and metal hydride as well as for cooling metal hydride hydrogen charging
J.Q. Wang, Hao Zhang, Shiyu Li, et al.
International Journal of Green Energy (2024), pp. 1-15
Closed Access
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