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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:

Machine learning applications in power system fault diagnosis: Research advancements and perspectives
Rachna Vaish, U. D. Dwivedi, Saurabh Tewari, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 106, pp. 104504-104504
Closed Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Optimized EWT-Seq2Seq-LSTM with Attention Mechanism to Insulators Fault Prediction
Anne Carolina Rodrigues Klaar, Stéfano Frizzo Stefenon, Laio Oriel Seman, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3202-3202
Open Access | Times Cited: 53
Reliable IoT Paradigm With Ensemble Machine Learning for Faults Diagnosis of Power Transformers Considering Adversarial Attacks
Mahmoud N. Ali, Mohammed Amer, Mahmoud Elsisi
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 42
IntelliSense technology in the new power systems
Haonan Xie, Meihui Jiang, Dongdong Zhang, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 177, pp. 113229-113229
Open Access | Times Cited: 40
Applications of Artificial Intelligence, Deep Learning, and Machine Learning to Support the Analysis of Microscopic Images of Cells and Tissues
Muhammad Ali, Viviana Benfante, Ghazal Basirinia, et al.
Journal of Imaging (2025) Vol. 11, Iss. 2, pp. 59-59
Open Access | Times Cited: 1
A nearly end-to-end deep learning approach to fault diagnosis of wind turbine gearboxes under nonstationary conditions
Liangwei Zhang, Qi Fan, Jing Lin, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105735-105735
Closed Access | Times Cited: 64
Comparative study on deep transfer learning strategies for cross-system and cross-operation-condition building energy systems fault diagnosis
Guannan Li, Liang Chen, Jiangyan Liu, et al.
Energy (2022) Vol. 263, pp. 125943-125943
Closed Access | Times Cited: 58
A novel image-based transfer learning framework for cross-domain HVAC fault diagnosis: From multi-source data integration to knowledge sharing strategies
Cheng Fan, Weilin He, Yichen Liu, et al.
Energy and Buildings (2022) Vol. 262, pp. 111995-111995
Closed Access | Times Cited: 57
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: 33
Artificial Intelligence for safety and reliability: A descriptive, bibliometric and interpretative review on machine learning
Nicola Tamascelli, Alessandro Campari, Tarannom Parhizkar, et al.
Journal of Loss Prevention in the Process Industries (2024) Vol. 90, pp. 105343-105343
Open Access | Times Cited: 11
Machine learning applications in cascading failure analysis in power systems: A review
Naeem Md Sami, Mia Naeini
Electric Power Systems Research (2024) Vol. 232, pp. 110415-110415
Open Access | Times Cited: 8
Multiple hierarchical compression for deep neural network toward intelligent bearing fault diagnosis
Jiedi Sun, Zhao Liu, Jiangtao Wen, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105498-105498
Closed Access | Times Cited: 28
Artificial Neural Network for Fault Diagnosis of Solar Photovoltaic Systems: A Survey
Zixia Yuan, Guojiang Xiong, Xiaofan Fu
Energies (2022) Vol. 15, Iss. 22, pp. 8693-8693
Open Access | Times Cited: 28
Adaptive multispace adjustable sparse filtering: A sparse feature learning method for intelligent fault diagnosis of rotating machinery
Guowei Zhang, Xianguang Kong, Jingli Du, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105847-105847
Closed Access | Times Cited: 16
Machine Learning Methods for Fault Diagnosis in AC Microgrids: A Systematic Review
Muiz M. Zaben, Muhammed Y. Worku, Mohamed A. Hassan, et al.
IEEE Access (2024) Vol. 12, pp. 20260-20298
Open Access | Times Cited: 6
Ensemble learning based transmission line fault classification using phasor measurement unit (PMU) data with explainable AI (XAI)
S Akter, Tanmoy Sarkar Pias, Shohana Rahman Deeba, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0295144-e0295144
Open Access | Times Cited: 6
Machine learning for power outage prediction during hurricanes: An extensive review
Kehkashan Fatima, Hussain Shareef, Flávio B. Costa, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108056-108056
Closed Access | Times Cited: 6
AI Applications to Enhance Resilience in Power Systems and Microgrids—A Review
Younes Zahraoui, Tarmo Korõtko, Argo Rosin, et al.
Sustainability (2024) Vol. 16, Iss. 12, pp. 4959-4959
Open Access | Times Cited: 6
Fault diagnosis in thermal images of transformer and asynchronous motor through semantic segmentation and different CNN models
Busra Aslan, Selami Balcı, Ahmet Kayabaşı
Applied Thermal Engineering (2025), pp. 125599-125599
Closed Access
Simplicial complexes using vector visibility graphs for multivariate classification of faults in electrical distribution systems
Divyanshi Dwivedi, K. Victor Sam Moses Babu, Pratyush Chakraborty, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110114-110114
Closed Access
Fault Classification and Precise Fault Location Detection in 400 kV High-Voltage Power Transmission Lines Using Machine Learning Algorithms
Ömer Özdemir, Raşit Köker, Nihat Pamuk
Processes (2025) Vol. 13, Iss. 2, pp. 527-527
Open Access
Advanced AI-driven techniques for fault and transient analysis in high-voltage power systems
Abdul Aziz, Muhammad Zain Yousaf, Renhai Feng, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Deep Learning Based Fault Detection and Diagnosis Method for Power Systems
Grace Lin, Huaxiang Zhang, Liangyu Chen, et al.
Applied Mathematics and Nonlinear Sciences (2025) Vol. 10, Iss. 1
Open Access
Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns
Juan Fernández, Juan Chiachío, Manuel Chiachío, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105790-105790
Open Access | Times Cited: 15
Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Rui Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106477-106477
Closed Access | Times Cited: 15
Rolling bearing fault diagnosis method using time-frequency information integration and multi-scale TransFusion network
Zekun Wang, Zifei Xu, Chang Cai, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111344-111344
Closed Access | Times Cited: 14
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