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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:

Deep learning in power systems research: A review
Mahdi Khodayar, Guangyi Liu, Jianhui Wang, et al.
CSEE Journal of Power and Energy Systems (2020)
Open Access | Times Cited: 128

Showing 1-25 of 128 citing articles:

Review on deep learning applications in frequency analysis and control of modern power system
Yi Zhang, Xiaohan Shi, Hengxu Zhang, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 136, pp. 107744-107744
Closed Access | Times Cited: 213
Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities
Ram Machlev, Leena Heistrene, M. Perl, et al.
Energy and AI (2022) Vol. 9, pp. 100169-100169
Open Access | Times Cited: 208
Applications of Physics-Informed Neural Networks in Power Systems - A Review
Bin Huang, Jianhui Wang
IEEE Transactions on Power Systems (2022) Vol. 38, Iss. 1, pp. 572-588
Closed Access | Times Cited: 192
A Review of Graph Neural Networks and Their Applications in Power Systems
Wenlong Liao, Birgitte Bak‐Jensen, Jayakrishnan Radhakrishna Pillai, et al.
Journal of Modern Power Systems and Clean Energy (2022) Vol. 10, Iss. 2, pp. 345-360
Open Access | Times Cited: 187
Review and prospect of data-driven techniques for load forecasting in integrated energy systems
Jizhong Zhu, Hanjiang Dong, Weiye Zheng, et al.
Applied Energy (2022) Vol. 321, pp. 119269-119269
Closed Access | Times Cited: 172
Graph Neural Networks for Anomaly Detection in Industrial Internet of Things
Yulei Wu, Hong‐Ning Dai, Haina Tang
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 12, pp. 9214-9231
Open Access | Times Cited: 164
Convolutional neural networks for intra-hour solar forecasting based on sky image sequences
Cong Feng, Jie Zhang, Wenqi Zhang, et al.
Applied Energy (2022) Vol. 310, pp. 118438-118438
Open Access | Times Cited: 87
A comprehensive review on deep learning approaches for short-term load forecasting
Yavuz Eren, İbrahim Beklan Küçükdemiral
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 114031-114031
Open Access | Times Cited: 65
Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review
Wadim Striełkowski, Andrey Vlasov, Kirill Selivanov, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4025-4025
Open Access | Times Cited: 52
Food flavor analysis 4.0: A cross-domain application of machine learning
Xiangquan Zeng, Rui Cao, Yu Xi, et al.
Trends in Food Science & Technology (2023) Vol. 138, pp. 116-125
Closed Access | Times Cited: 47
Prediction of Electric Vehicles Charging Demand: A Transformer-Based Deep Learning Approach
Sahar Koohfar, Wubeshet Woldemariam, Amit Kumar
Sustainability (2023) Vol. 15, Iss. 3, pp. 2105-2105
Open Access | Times Cited: 45
Fault classification and location of a PMU-equipped active distribution network using deep convolution neural network (CNN)
Md. Nazrul Islam Siddique, Md Shafiullah, Saad Mekhilef, et al.
Electric Power Systems Research (2024) Vol. 229, pp. 110178-110178
Open Access | Times Cited: 16
Physics-informed graphical neural network for power system state estimation
Q. Ngo, Bang Le-Huy Nguyen, Tuyen Vu, et al.
Applied Energy (2024) Vol. 358, pp. 122602-122602
Open Access | Times Cited: 15
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: 3
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: 71
Short-Term Load Forecasting Model of Electric Vehicle Charging Load Based on MCCNN-TCN
Jiaan Zhang, Chenyu Liu, Leijiao Ge
Energies (2022) Vol. 15, Iss. 7, pp. 2633-2633
Open Access | Times Cited: 40
Power system restoration with large renewable Penetration: State-of-the-Art and future trends
Kunjie Liang, Hongtao Wang, David Pozo, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 155, pp. 109494-109494
Open Access | Times Cited: 35
A Day-Ahead Photovoltaic Power Prediction via Transfer Learning and Deep Neural Networks
Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo, et al.
Forecasting (2023) Vol. 5, Iss. 1, pp. 213-228
Open Access | Times Cited: 32
Low-carbon optimal learning scheduling of the power system based on carbon capture system and carbon emission flow theory
Jifeng Li, Xingtang He, Weidong Li, et al.
Electric Power Systems Research (2023) Vol. 218, pp. 109215-109215
Closed Access | Times Cited: 27
Techniques of power system static security assessment and improvement: A literature survey
Engidaw Abel Hailu, George N. Nyakoe, Christopher Maina Muriithi
Heliyon (2023) Vol. 9, Iss. 3, pp. e14524-e14524
Open Access | Times Cited: 23
EV battery fault diagnostics and prognostics using deep learning: Review, challenges & opportunities
Ram Machlev
Journal of Energy Storage (2024) Vol. 83, pp. 110614-110614
Closed Access | Times Cited: 14
Application and progress of artificial intelligence technology in the field of distribution network voltage Control：A review
Xiao Zhang, Zhi Wu, Qirun Sun, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 192, pp. 114282-114282
Closed Access | Times Cited: 10
Power transmission system’s fault location, detection, and classification: Pay close attention to transmission nodes
Chiagoziem C. Ukwuoma, Dongsheng Cai, Olusola Bamisile, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 156, pp. 109771-109771
Open Access | Times Cited: 8
LA-RCNN: Luong attention-recurrent- convolutional neural network for EV charging load prediction
Djamel Eddine Mekkaoui, Mohamed Amine Midoun, Yanming Shen
Applied Intelligence (2024) Vol. 54, Iss. 5, pp. 4352-4369
Closed Access | Times Cited: 8
Measuring Explainability and Trustworthiness of Power Quality Disturbances Classifiers Using XAI—Explainable Artificial Intelligence
Ram Machlev, M. Perl, Juri Belikov, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 8, pp. 5127-5137
Closed Access | Times Cited: 41
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