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:
Generative Artificial Intelligence for Designing Multi-Scale Hydrogen Fuel Cell Catalyst Layer Nanostructures
Zhiqiang Niu, Wanhui Zhao, Hao Deng, et al.
ACS Nano (2024) Vol. 18, Iss. 31, pp. 20504-20517
Open Access | Times Cited: 9
Zhiqiang Niu, Wanhui Zhao, Hao Deng, et al.
ACS Nano (2024) Vol. 18, Iss. 31, pp. 20504-20517
Open Access | Times Cited: 9
Showing 9 citing articles:
Recent Advances in Machine Learning‐Assisted Multiscale Design of Energy Materials
Bohayra Mortazavi
Advanced Energy Materials (2024)
Open Access | Times Cited: 6
Bohayra Mortazavi
Advanced Energy Materials (2024)
Open Access | Times Cited: 6
AI in single-atom catalysts: a review of design and applications
Qiumei Yu, Ninggui Ma, Chihon Leung, et al.
Journal of Materials Informatics (2025) Vol. 5, Iss. 1
Open Access
Qiumei Yu, Ninggui Ma, Chihon Leung, et al.
Journal of Materials Informatics (2025) Vol. 5, Iss. 1
Open Access
Artificial intelligence and robotics in the hydrogen lifecycle: A systematic review
Paulina Quintanilla, Ayman Elhalwagy, Lijia Duan, et al.
International Journal of Hydrogen Energy (2025) Vol. 113, pp. 801-817
Open Access
Paulina Quintanilla, Ayman Elhalwagy, Lijia Duan, et al.
International Journal of Hydrogen Energy (2025) Vol. 113, pp. 801-817
Open 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
Maksym Szemer, Szymon Buchaniec, Tomasz Prokop, et al.
Energy and AI (2025), pp. 100495-100495
Open Access
Strategies for Carbon Support Design in Fuel Cells
Donglai Li, Haibo Jin, Zipeng Zhao
Chemistry of Materials (2024)
Closed Access | Times Cited: 1
Donglai Li, Haibo Jin, Zipeng Zhao
Chemistry of Materials (2024)
Closed Access | Times Cited: 1
Optimization of cathode catalyst layer composition for PEMFC based on an integrated approach of numerical simulation, surrogate model, multi-objective genetic algorithm and evaluation strategy
Ziqian Yang, Zhaojing Ni, Xiaolong Li, et al.
International Journal of Hydrogen Energy (2024) Vol. 96, pp. 97-112
Closed Access | Times Cited: 1
Ziqian Yang, Zhaojing Ni, Xiaolong Li, et al.
International Journal of Hydrogen Energy (2024) Vol. 96, pp. 97-112
Closed Access | Times Cited: 1
Deep Learning from Three-dimensional Lithium-ion Battery Multiphysics Model Part I: Data Development
Yiheng Pang, Yun Wang, Zhiqiang Niu
Energy and AI (2024), pp. 100428-100428
Open Access
Yiheng Pang, Yun Wang, Zhiqiang Niu
Energy and AI (2024), pp. 100428-100428
Open Access
GenAI for Scientific Discovery in Electrochemical Energy Storage: State‐of‐the‐Art and Perspectives from Nano‐ and Micro‐Scale
Shuangqi Li, Fengqi You
Small (2024)
Closed Access
Shuangqi Li, Fengqi You
Small (2024)
Closed Access
Smart monitoring and control systems for hydrogen fuel cells using AI
Somtochukwu Godfrey Nnabuife, Chinonyelum Udemu, Abdulhammed K. Hamzat, et al.
International Journal of Hydrogen Energy (2024) Vol. 110, pp. 704-726
Open Access
Somtochukwu Godfrey Nnabuife, Chinonyelum Udemu, Abdulhammed K. Hamzat, et al.
International Journal of Hydrogen Energy (2024) Vol. 110, pp. 704-726
Open Access
