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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:

Fault Detection for Medium Voltage Switchgear Using a Deep Learning Hybrid 1D-CNN-LSTM Model
Yaseen Ahmed Mohammed Alsumaidaee, Johnny Koh Siaw Paw, Chong Tak Yaw, et al.
IEEE Access (2023) Vol. 11, pp. 97574-97589
Open Access | Times Cited: 11

Showing 11 citing articles:

Explainability Approach-Based Series Arc Fault Detection Method for Photovoltaic Systems
Yao Wang, Jiawang Zhou, Kamal Chandra Paul, et al.
IEEE Access (2024) Vol. 12, pp. 45530-45542
Open Access | Times Cited: 8
Recurrent Convolutional Neural Network Based Defect Detection in Submerged Arc Welding Processes
E. Suárez, Inés Pérez Couñago, Christian E. Precker, et al.
Lecture notes in mechanical engineering (2025), pp. 12-20
Open Access
Transfer learning by fine-tuning pre-trained convolutional neural network architectures for switchgear fault detection using thermal imaging
Karim A.A. Mahmoud, Mohamed M. Badr, Noha A. Elmalhy, et al.
Alexandria Engineering Journal (2024) Vol. 103, pp. 327-342
Open Access | Times Cited: 3
Reliability Assessment and Fault Prediction in a 13-Level Multilevel Inverter Through Machine Learning with SVM
V. P. Arumbu, D. Karthikeyan
Journal of Electrical Engineering and Technology (2024)
Closed Access | Times Cited: 1
Classification of Faults in Power System Transmission Lines Using Deep Learning Methods with Real, Synthetic, and Public Datasets
Ozan Turanlı, Yurdagül Benteşen Yakut
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9590-9590
Open Access | Times Cited: 1
Underwater propeller fault diagnosis based on deep learning
Yonghe Wei, Ze Liu
(2024), pp. 178-178
Closed Access
Analog Circuit Incipient Fault Detection Based on Attention Mechanism and Fully Convolutional Network
Yufeng Miao, Ying Zhang, Fuyang Chen, et al.
IEEE Access (2024) Vol. 12, pp. 137247-137258
Open Access
Research on fault diagnosis and feature extraction mechanism visualization of rotating machinery based on improved 1D CNN
Pengfei Pang, Jian Tang, Ting Rui, et al.
Advances in Mechanical Engineering (2024) Vol. 16, Iss. 10
Open Access
A deep neural network with two-step decomposition technique for predicting ultra-short-term solar power and electrical load
Peter I. Udenze, Jiaqi Gong, S. Soltani, et al.
Applied Energy (2024) Vol. 382, pp. 125212-125212
Closed Access
A Novel use of 1-D Convolutional Transformer Neural Network Model in CHB Motor Drive Fault Diagnosis
Samuela Rokocakau, Giulia Tresca, Behrouz Mohammadzadeh, et al.
2022 IEEE Energy Conversion Congress and Exposition (ECCE) (2024), pp. 3716-3722
Closed Access
Fault Diagnosis using 1-D Convolutional Transformer Hybrid Neural Network for Cascaded H-Bridge Converters
Samuela Rokocakau, Giulia Tresca, Behrouz Mohammadzadeh, et al.
2022 IEEE Energy Conversion Congress and Exposition (ECCE) (2024), pp. 3729-3736
Closed Access
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