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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:

A real-time hierarchical framework for fault detection, classification, and location in power systems using PMUs data and deep learning
Mohammad Reza Shadi, Mohammad-Taghi Ameli, Sasan Azad
International Journal of Electrical Power & Energy Systems (2021) Vol. 134, pp. 107399-107399
Closed Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

CNN-Based Transformer Model for Fault Detection in Power System Networks
Jibin B. Thomas, Saurabh S. Chaudhari, K.V. Shihabudheen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 73
A Comprehensive Review on Deep Learning Techniques in Power System Protection: Trends, Challenges, Applications and Future Directions
Manohar Mishra, Jai Govind Singh
Results in Engineering (2025), pp. 103884-103884
Open Access | Times Cited: 4
Machine Learning-Based Fault Location for Smart Distribution Networks Equipped with Micro-PMU
Hamid Mirshekali, Rahman Dashti, Ahmad Keshavarz, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 945-945
Open Access | Times Cited: 39
Fault Location for Distribution Smart Grids: Literature Overview, Challenges, Solutions, and Future Trends
Jorge De La Cruz, Eduardo Gómez-Luna, Majid Ali, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2280-2280
Open Access | Times Cited: 34
Neural architecture search algorithm to optimize deep Transformer model for fault detection in electrical power distribution systems
Jibin B. Thomas, Shihabudheen K.V.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105890-105890
Closed Access | Times Cited: 27
Fault Detection and Classification in Ring Power System With DG Penetration Using Hybrid CNN-LSTM
Ahmed Sami Alhanaf, Murtaza Farsadi, Hasan H. Balık
IEEE Access (2024) Vol. 12, pp. 59953-59975
Open Access | Times Cited: 10
Real-Time Grid Monitoring and Protection: A Comprehensive Survey on the Advantages of Phasor Measurement Units
Chinmayee Biswal, Binod Kumar Sahu, Manohar Mishra, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4054-4054
Open Access | Times Cited: 22
Deep learning-based fault location framework in power distribution grids employing convolutional neural network based on capsule network
Hamid Mirshekali, Ahmad Keshavarz, Rahman Dashti, et al.
Electric Power Systems Research (2023) Vol. 223, pp. 109529-109529
Open Access | Times Cited: 18
Advancements in Digital Twin Technology and Machine Learning for Energy Systems: A Comprehensive Review of Applications in Smart Grids, Renewable Energy, and Electric Vehicle Optimisation
Opy Das, Muhammad Hamza Zafar, Filippo Sanfilippo, et al.
Energy Conversion and Management X (2024), pp. 100715-100715
Open Access | Times Cited: 8
Intelligent Fault Detection and Classification Schemes for Smart Grids Based on Deep Neural Networks
Ahmed Sami Alhanaf, Hasan H. Balık, Murtaza Farsadi
Energies (2023) Vol. 16, Iss. 22, pp. 7680-7680
Open Access | Times Cited: 16
Pipeline damage identification in nuclear industry using a particle swarm optimization-enhanced machine learning approach
Qi Jiang, Wenzhong Qu, Xiao Li
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108467-108467
Closed Access | Times Cited: 5
On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach
Md. Sihab Uddin, Md. Zahid Hossain, Shahriar Rahman Fahim, et al.
Energy Reports (2022) Vol. 8, pp. 10168-10182
Open Access | Times Cited: 20
Deep-Learning Based Power System Events Detection Technology Using Spatio-Temporal and Frequency Information
Hongwei Ma, Xin Lei, Zhen Li, et al.
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2023) Vol. 13, Iss. 2, pp. 545-556
Closed Access | Times Cited: 13
A Survey of Time-Series Prediction for Digitally Enabled Maintenance of Electrical Grids
Hamid Mirshekali, Áthila Quaresma Santos, Hamid Reza Shaker
Energies (2023) Vol. 16, Iss. 17, pp. 6332-6332
Open Access | Times Cited: 12
Explainable deep learning method for power system stability evaluation with incomplete voltage data based on transfer learning
Jiasheng Yang, Wenjin Chen, Xu Xiao, et al.
Measurement (2025), pp. 116781-116781
Closed Access
Bidirectional Gated Recurrent Unit Neural Network for Fault Diagnosis and Rapid Maintenance in Medium-Voltage Direct Current Systems
B. Lee, Yeseul Kim, Hyun-Yong Lee, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 693-693
Open Access
Machine learning-based fault diagnosis and classification of three-phase transmission lines with RFE and domain knowledge
Baicun Guo, Bowen Yang, Shuhong Wang, et al.
Electric Power Systems Research (2025) Vol. 247, pp. 111777-111777
Open Access
Faulty feeder detection for single phase-to-ground faults in distribution networks based on patch-to-patch CNN and feeder-to-feeder LSTM
Jiawei Yuan, Zaibin Jiao
International Journal of Electrical Power & Energy Systems (2022) Vol. 147, pp. 108909-108909
Closed Access | Times Cited: 17
Transfer learning-based fault location with small datasets in VSC-HVDC
Boyang Shang, Guomin Luo, Meng Li, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 151, pp. 109131-109131
Open Access | Times Cited: 10
Comparison of Artificial Intelligence and Machine LearningMethods used in Electric Power System Operation
Marcel Hallmann, Robert Pietracho, Przemlyslaw Komarnicki
(2024)
Open Access | Times Cited: 3
An Efficient Technique to Improve Fault Categorization in Transmission Lines
Shradha Umathe, Prema Daigavane, M. B. Daigavane
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 2, pp. 21425-21430
Open Access
Advanced transmission line fault protection including the voltage sag
Muhamed Al-Sultan, İsa AVCI
Journal of Renewable and Sustainable Energy (2025) Vol. 17, Iss. 2
Closed Access
Measuring the digitalisation of electricity distribution systems in Europe: Towards the smart grid
Néstor Rodríguez-Pérez, Javier Matanza Domingo, G. López, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 159, pp. 110009-110009
Open Access | Times Cited: 3
Comparison of Artificial Intelligence and Machine Learning Methods Used in Electric Power System Operation
Marcel Hallmann, Robert Pietracho, Przemysław Komarnicki
Energies (2024) Vol. 17, Iss. 11, pp. 2790-2790
Open Access | Times Cited: 3
FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids
Emad Efatinasab, Francesco Marchiori, Alessandro Brighente, et al.
Lecture notes in computer science (2024), pp. 503-524
Closed Access | Times Cited: 3
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