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:

Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms
Huifeng Ning, Faqiang Chen, Yunfeng Su, et al.
Friction (2024) Vol. 12, Iss. 6, pp. 1322-1340
Open Access | Times Cited: 4

Showing 4 citing articles:

Molecular dynamics simulation and machine learning prediction of tribological properties of graphene solid-liquid two-phase lubrication system
Feng Qiu, Hui Song, Zhiquan Yang, et al.
Tribology International (2024), pp. 110347-110347
Closed Access | Times Cited: 5
Deep-learning approach for developing bilayered electromagnetic interference shielding composite aerogels based on multimodal data fusion neural networks
Chenglei He, Liya Yu, Yun Jiang, et al.
Journal of Colloid and Interface Science (2025) Vol. 688, pp. 79-92
Closed Access
Enhanced properties of the Cu-10 wt% graphite composites by two-step spark plasma sintering method at the presence of Al addition
R. Khosravi Zeydabadi, M. Sobhani
Results in Materials (2025), pp. 100686-100686
Open Access
Prediction of the Tribological Properties of Graphite-Filled Ptfe Composites Based on Machine Learning Algorithms
Huifeng Ning, Wenwen WANG, Gui Gao, et al.
(2024)
Closed Access
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