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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:

Incipient detection of stator inter‐turn short‐circuit faults in a Doubly‐Fed Induction Generator using deep learning
Ghasem Alipoor, Seyed Jafar Mirbagheri, Seyed Mohammad Mahdi Moosavi, et al.
IET Electric Power Applications (2022) Vol. 17, Iss. 2, pp. 256-267
Open Access | Times Cited: 10

Showing 10 citing articles:

An Overview of Diagnosis Methods of Stator Winding Inter-Turn Short Faults in Permanent-Magnet Synchronous Motors for Electric Vehicles
Yutao Jiang, Baojian Ji, Jin Zhang, et al.
World Electric Vehicle Journal (2024) Vol. 15, Iss. 4, pp. 165-165
Open Access | Times Cited: 4
Fault Detection and Isolation in Wind Turbines: Type-3 Fuzzy Logic Systems and Adaptive Random Search Learning
Aimei Zhou, Zhiping Zhu, Ebrahim Ghaderpour, et al.
IEEE Access (2024) Vol. 12, pp. 129347-129361
Open Access | Times Cited: 4
A new approach for improving dynamic fault ride through capability of gridctied based wind turbines
Shoaib Ahmed Dayo, Ahsanullah Memon, Zeeshan Anjum Memon, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Fast Calculation Method of 3D Temperature Field of Oil‐Immersed Transformer Based on Point Cloud U‐Net++ Neural Network
Rongyun Fu, Yunpeng Liu, Kexin Liu, et al.
IET Electric Power Applications (2025) Vol. 19, Iss. 1
Open Access
Permanent magnet synchronous motor inter-turn short circuit diagnosis based on physical-data dual model under oil-drilling environment
MingLei Li, Yanfeng Geng, Weiliang Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107938-107938
Closed Access | Times Cited: 3
An explainable deep learning approach for detection and isolation of sensor and machine faults in predictive maintenance paradigm
Aparna Sinha, Debanjan Das
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015122-015122
Closed Access | Times Cited: 6
Machine Learning-based Explainable Stator Fault Diagnosis in Induction Motor using Vibration Signal
Aparna Sinha, Debanjan Das
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2023) Vol. 129, pp. 1-6
Closed Access | Times Cited: 4
Rotor speed signature analysis‐based inter‐turn short circuit fault detection for permanent magnet synchronous machines
Dong Wei, Kan Liu, Z. Q. Zhu, et al.
IET Electric Power Applications (2024) Vol. 18, Iss. 10, pp. 1187-1199
Open Access | Times Cited: 1
Fault Detection of DFIG Using an Improved Fractional-Order PID Sliding Mode Observer Based on the Adaptive Golden Eagle Optimizer
Dongdong Li, Pengtao Xu, Xiaolu Li, et al.
Journal of Electrical Engineering and Technology (2024)
Closed Access | Times Cited: 1
Incipient Inter-Turn Short Circuit Detection in Induction Motors Using Cumulative Distribution Function and the EfficientNetv2 Model
Carlos Morales-Perez, Laritza Pérez–Enríquez, Juan P. Amézquita-Sánchez, et al.
Machines (2024) Vol. 12, Iss. 6, pp. 399-399
Open Access
Evaluation and classification of stator turn-to-turn faults using electrical equivalent circuits for surface permanent magnet brushless direct current motors
A. Infantraj, M. Senthil Kumaran
Journal of Power Electronics (2023) Vol. 23, Iss. 11, pp. 1703-1711
Closed Access
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