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:

Stability forecasting of perovskite solar cells utilizing various machine learning and deep learning techniques
M. Mammeri, H. Bencherif, L. Dehimi, et al.
Journal of Optics (2024)
Closed Access | Times Cited: 6

Showing 6 citing articles:

Perovskite solar cells: Organic-based molecules for electron and hole transport materials with machine learning insights
Reda M. El‐Shishtawy, Nesma ElShishtawy
Current Opinion in Colloid & Interface Science (2024) Vol. 74, pp. 101848-101848
Closed Access | Times Cited: 2

Machine learning-assisted SCAPS device simulation for photovoltaic parameters prediction of CsSnI3 perovskite solar cells
I. Chabri, Mithilesh Said, Ed. El-Allaly, et al.
Materials Today Communications (2024), pp. 110585-110585
Closed Access | Times Cited: 1

Electronic transport properties of Rb2AsAuX6 (X = Cl, Br) halide double perovskites for energy harvesting applications
Muhammad Adnan, Mudassir Ishfaq, Shatha A. Aldaghfag, et al.
Chemical Physics Letters (2024) Vol. 857, pp. 141733-141733
Closed Access | Times Cited: 1

Machine Learning-Assisted Prediction of Ambient-Processed Perovskite Solar Cells’ Performances
Dowon Pyun, Seungtae Lee, Solhee Lee, et al.
Energies (2024) Vol. 17, Iss. 23, pp. 5998-5998
Open Access

Multi-Properties prediction of perovskite materials using Machine learning and Meta-Heuristic feature selection
F J Kusuma, Eri Widianto, Wahyono Wahyono, et al.
Solar Energy (2024) Vol. 286, pp. 113189-113189
Closed Access

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