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:
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
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
Showing 6 citing articles:
Machine learning-powered performance monitoring of proton exchange membrane water electrolyzers for enhancing green hydrogen production as a sustainable fuel for aviation industry
Shahin Alipour Bonab, Thomas D. Waite, Wenjuan Song, et al.
Energy Reports (2024) Vol. 12, pp. 2270-2282
Open Access | Times Cited: 9
Shahin Alipour Bonab, Thomas D. Waite, Wenjuan Song, et al.
Energy Reports (2024) Vol. 12, pp. 2270-2282
Open Access | Times Cited: 9
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
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
Shahin Alipour Bonab, Wenjuan Song, Mohammad Yazdani-Asrami
Crystals (2024) Vol. 14, Iss. 7, pp. 619-619
Open Access | Times Cited: 1
Investigation on the heat transfer estimation of subcooled liquid hydrogen for transportation applications using intelligent technique
Shahin Alipour Bonab, Mohammad Yazdani-Asrami
International Journal of Hydrogen Energy (2024) Vol. 84, pp. 468-479
Open Access | Times Cited: 1
Shahin Alipour Bonab, Mohammad Yazdani-Asrami
International Journal of Hydrogen Energy (2024) Vol. 84, pp. 468-479
Open Access | Times Cited: 1
Artificial intelligence-based model to predict the heat transfer coefficient in flow boiling of liquid hydrogen as fuel and cryogenic coolant in future hydrogen-powered cryo-electric aviation
Shahin Alipour Bonab, Mohammad Yazdani-Asrami
Fuel (2024) Vol. 381, pp. 133323-133323
Open Access | Times Cited: 1
Shahin Alipour Bonab, Mohammad Yazdani-Asrami
Fuel (2024) Vol. 381, pp. 133323-133323
Open Access | Times Cited: 1
Geometric digital measuring instrument model and error theory analysis
Ke-ying Yang, Jing Yu, Jia Cui, et al.
Measurement (2024), pp. 116618-116618
Closed Access
Ke-ying Yang, Jing Yu, Jia Cui, et al.
Measurement (2024), pp. 116618-116618
Closed Access
