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:

Intelligent estimation of critical current degradation in HTS tapes under repetitive overcurrent cycling for cryo-electric transportation applications
Alireza Sadeghi, Shahin Alipour Bonab, Wenjuan Song, et al.
Materials Today Physics (2024) Vol. 42, pp. 101365-101365
Open Access | Times Cited: 9

Showing 9 citing articles:

A comprehensive machine learning-based investigation for the index-value prediction of 2G HTS coated conductor tapes
Shahin Alipour Bonab, G.V. Russo, Antonio Morandi, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025040-025040
Open Access | Times Cited: 6

Estimation of magnetic levitation and lateral forces in MgB2 superconducting bulks with various dimensional sizes using artificial intelligence techniques
Shahin Alipour Bonab, Yiteng Xing, G.V. Russo, et al.
Superconductor Science and Technology (2024) Vol. 37, Iss. 7, pp. 075008-075008
Open Access | Times Cited: 5

Design and Thermal Analysis of a 250 MVA HTS Transformer for Substation of Offshore Wind Farms
Mahdi Mahamed, Seyyedmeysam Seyyedbarzegar
Physica C Superconductivity (2024) Vol. 620, pp. 1354503-1354503
Closed Access | Times Cited: 3

Artificial-Intelligence-Driven Model for Resistive Superconducting Fault Current Limiter in Future Electric Aircraft
Dedao Yan, Alireza Sadeghi, Mohammad Yazdani-Asrami, et al.
IEEE Transactions on Applied Superconductivity (2024) Vol. 34, Iss. 7, pp. 1-16
Closed Access | Times Cited: 3

Enhancing the Predictive Modeling of n-Value Surfaces in Various High Temperature Superconducting Materials Using a Feed-Forward Deep Neural Network Technique
Shahin Alipour Bonab, Wenjuan Song, Mohammad Yazdani-Asrami
Crystals (2024) Vol. 14, Iss. 7, pp. 619-619
Open Access | Times Cited: 1

Two-step preparation and characterization of Bi-2212 superconductors by the glycine-nitrate method
Nan Wang, Tianlin Wang, Muyan Dai, et al.
Journal of Alloys and Compounds (2024), pp. 177868-177868
Closed Access

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