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.

Requested Article:

Toward high-performance energy and power battery cells with machine learning-based optimization of electrode manufacturing
Marc Duquesnoy, Chaoyue Liu, Vishank Kumar, et al.
Journal of Power Sources (2023) Vol. 590, pp. 233674-233674
Open Access | Times Cited: 9

Showing 9 citing articles:

Challenges and Opportunities in the Implementation of AI in Manufacturing: A Bibliometric Analysis
Lorena Espina-Romero, Humberto Gutiérrez Hurtado, Doile Enrique Ríos Parra, et al.
Sci (2024) Vol. 6, Iss. 4, pp. 60-60
Open Access | Times Cited: 6
Time‐Dependent Deep Learning Manufacturing Process Model for Battery Electrode Microstructure Prediction
Diego E. Galvez‐Aranda, Tan Le Dinh, Utkarsh Vijay, et al.
Advanced Energy Materials (2024) Vol. 14, Iss. 15
Open Access | Times Cited: 5
Multi-objective optimization of lithium-ion battery designs considering the dilemma between energy density and rate capability
Xiaoying Ma, Wenke Zhang, Ying Yin, et al.
Energy and AI (2024) Vol. 18, pp. 100416-100416
Open Access | Times Cited: 3
The ARTISTIC Battery Manufacturing Digitalization Initiative: From Fundamental Research to Industrialization
Javier F. Troncoso, Franco M. Zanotto, Diego E. Galvez‐Aranda, et al.
Batteries & Supercaps (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 2
Machine learning-driven optimization of gas diffusion layer microstructure for PEM fuel cells
Rashen Lou Omongos, Diego E. Galvez‐Aranda, Franco M. Zanotto, et al.
Journal of Power Sources (2024) Vol. 625, pp. 235583-235583
Open Access | Times Cited: 2
Charging Ahead: The Evolution and Reliability of Nickel‐Zinc Battery Solutions
Idris Temitope Bello, Hassan Raza, Anbu Malar Michael, et al.
EcoMat (2024)
Closed Access | Times Cited: 2
Interdependencies in Electrode Manufacturing: A Comprehensive Study Based on Design Augmentation and Explainable Machine Learning
Sajedeh Haghi, Yao Chen, Annika Molzberger, et al.
Batteries & Supercaps (2024) Vol. 7, Iss. 5
Open Access
Carbon-Binder-Domain porosity extraction through lithium-ion battery electrode impedance data
Sergio Pinilla, Franco M. Zanotto, Diana Zapata Dominguez, et al.
Energy storage materials (2024) Vol. 74, pp. 103818-103818
Open Access
A machine learning tool to investigate lithium-ion battery degradation under real automotive conditions
Amina El Malki, Mohamed Ati, Mark Asch, et al.
Journal of Power Sources (2024) Vol. 630, pp. 236048-236048
Open Access
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