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:

Interaction of Transformer Oil Parameters on Each Other and on Transformer Health Index Using Curve Estimation Regression Method
Morteza Saeid, Hamed Zeinoddini‐Meymand, Salah Kamel, et al.
International Transactions on Electrical Energy Systems (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 5

Showing 5 citing articles:

Power transformer health condition evaluation: A deep generative model aided intelligent framework
Naimul Islam, Riaz Ullah Khan, Sajal K. Das, et al.
Electric Power Systems Research (2023) Vol. 218, pp. 109201-109201
Closed Access | Times Cited: 14

Türkiye’nin toplam sağlık harcaması tahmini için trend-artık ayrıştırması temelli bir modelleme yaklaşımı
Rezzan Yardımcı, Eşref Boğar
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi (2024) Vol. 39, Iss. 4, pp. 2539-2550
Open Access | Times Cited: 1

Calculation of power transformer health index using the combination of principal component analysis and mass-spring-damper model
Hamed Zeinoddini‐Meymand, Morteza Saeid, Behrooz Vahidi
Electrical Engineering (2024)
Closed Access | Times Cited: 1

Single mode optical fiber sensor based on surface plasmon resonance for the detection of the oil aging for the electrical transformers
Mariam Jamal Abd Alkareem, Soudad S. Ahmed, Mustafa H. Nida
Journal of Optics (2023) Vol. 53, Iss. 4, pp. 2982-2986
Closed Access | Times Cited: 3

Predicting the Uncertainty of Data Generated by Power Transformer using Gradient Boosting Decision Tree
T. Maragatham, B Vinodhini, P. Yuvarani, et al.
(2023), pp. 99-108
Closed Access

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