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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:

DC Electro-Magneto-Mechanical Characterization of 2G HTS Tapes for Superconducting Cable in Magnet System Using Artificial Neural Networks
Mohammad Yazdani-Asrami, Alireza Sadeghi, Seyyedmeysam Seyyedbarzegar, et al.
IEEE Transactions on Applied Superconductivity (2022) Vol. 32, Iss. 7, pp. 1-10
Open Access | Times Cited: 24

Showing 24 citing articles:

Integrating discrete wavelet transform with neural networks and machine learning for fault detection in microgrids
Antonio Caño, Paúl Arévalo, Darío Benavides, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 155, pp. 109616-109616
Open Access | Times Cited: 26
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
Artificial intelligence, machine learning, deep learning, and big data techniques for the advancements of superconducting technology: a road to smarter and intelligent superconductivity
Mohammad Yazdani-Asrami
Superconductor Science and Technology (2023) Vol. 36, Iss. 8, pp. 084001-084001
Open Access | Times Cited: 17
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
A Review on Insulation and Dielectrics for High- Temperature Superconducting Cables for Power Distribution: Progress, Challenges, and Prospects
Ashish Paramane, Muhammad Awais, C. Thirumurugan, et al.
IEEE Transactions on Applied Superconductivity (2023) Vol. 33, Iss. 6, pp. 1-31
Closed Access | Times Cited: 16
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
Critical current parameterization of high temperature Superconducting Tapes: A novel approach based on fuzzy logic
Nitish Varma Ulchi Suresh, Alireza Sadeghi, Mohammad Yazdani-Asrami
Superconductivity (2023) Vol. 5, pp. 100036-100036
Open Access | Times Cited: 11
Ultra-fast Surrogate Model for Magnetic Field Computation of a Superconducting Magnet Using Multi-layer Artificial Neural Networks
Mohammad Yazdani-Asrami, Alireza Sadeghi, Wenjuan Song
Journal of Superconductivity and Novel Magnetism (2023) Vol. 36, Iss. 2, pp. 575-586
Open Access | Times Cited: 11
Smart fault detection of HTS coils using artificial intelligence techniques for large-scale superconducting electric transport applications
Mohammad Yazdani-Asrami, Lurui Fang, Xiaoze Pei, et al.
Superconductor Science and Technology (2023) Vol. 36, Iss. 8, pp. 085021-085021
Open Access | Times Cited: 11
Machine learning-based model for the intelligent estimation of critical heat flux in nanofluids
Shahin Alipour Bonab, Mohammad Yazdani-Asrami
Nano Express (2024) Vol. 5, Iss. 2, pp. 025012-025012
Open Access | Times Cited: 4
AC Loss Analysis in Superconducting Cables Carrying Characteristic and Noncharacteristic Harmonic Currents
Alireza Sadeghi, Seyyedmeysam Seyyedbarzegar, Mohammad Yazdani-Asrami
IEEE Transactions on Applied Superconductivity (2023) Vol. 33, Iss. 6, pp. 1-10
Open Access | Times Cited: 9
A New Intelligent Estimation Method Based on the Cascade-Forward Neural Network for the Electric and Magnetic Fields in the Vicinity of the High Voltage Overhead Transmission Lines
Shahin Alipour Bonab, Wenjuan Song, Mohammad Yazdani-Asrami
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11180-11180
Open Access | Times Cited: 9
Artificial intelligence-based surrogate model for computation of the electric field of high voltage transmission line ceramic insulator with corona ring
Shahin Alipour Bonab, Alireza Sadeghi, Mohammad Yazdani-Asrami
World Journal of Engineering (2024)
Open 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
Multi-Objective Optimization for Improving Weight and Fault Characteristics of a DC HTS Cable in Cryo-Electric Aircraft
Alireza Sadeghi, Mohammad Yazdani-Asrami
Aerospace (2022) Vol. 9, Iss. 12, pp. 753-753
Open Access | Times Cited: 8
Estimation of critical current density of bulk superconductor with artificial neural network
Gangling Wu, Huadong Yong
Superconductivity (2023) Vol. 7, pp. 100055-100055
Open Access | Times Cited: 4
Intelligent surrogate model of a high temperature superconducting cable for reliable energy delivery: Short circuit fault performance
Alireza Sadeghi, Wenjuan Song, Mohammad Yazdani-Asrami
Superconductor Science and Technology (2024) Vol. 37, Iss. 8, pp. 085025-085025
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
Intelligent Probability Estimation of Quenches Caused by Weak Points in High-Temperature Superconducting Tapes
Alireza Sadeghi, Zhihui Xu, Wenjuan Song, et al.
Energies (2022) Vol. 16, Iss. 1, pp. 193-193
Open Access | Times Cited: 5
Enhancement mechanism of uniaxial tensile electro-mechanical behaviors in second-generation high-temperature superconducting tapes
Chunjiang Guo, Yue Wu, Wei Wu, et al.
Journal of Alloys and Compounds (2023) Vol. 968, pp. 171793-171793
Closed Access | Times Cited: 2
Aging effect on copper stabilizers in second-generation high-temperature superconducting tapes
Chunjiang Guo, Xin Yu, Yue Wu, et al.
Materials Characterization (2023) Vol. 206, pp. 113388-113388
Closed Access | Times Cited: 2
Short-Circuit Impedance Analysis of HTS Traction Transformer with Flux Diverters Using Magnetic Energy Method
Chenxi Tian, Jin Fang, Xin Zhao
IEEE Transactions on Applied Superconductivity (2024) Vol. 34, Iss. 8, pp. 1-5
Closed Access
Electromagnetic, cooling, and strain-based multi-objective optimization of superconducting magnetic energy storage unit for power grid applications
Alireza Sadeghi, Antonio Morandi, Mohammad Yazdani-Asrami
Journal of Energy Storage (2024) Vol. 97, pp. 112917-112917
Open Access
Fluid flow diffusion modelling with convolutional neural network aided method
Valentin Mateev, Iliana Marinova
AIP conference proceedings (2023) Vol. 2939, pp. 100009-100009
Closed Access
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