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 High Voltage Engineering: A Literature Review
Sara Mantach, Abdulla Lutfi, Hamed Moradi Tavasani, et al.
Energies (2022) Vol. 15, Iss. 14, pp. 5005-5005
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Wavelet LSTM for Fault Forecasting in Electrical Power Grids
Nathielle Waldrigues Branco, Mariana Santos Matos Cavalca, Stéfano Frizzo Stefenon, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8323-8323
Open Access | Times Cited: 37

Artificial neural network analysis for classification of defected high voltage ceramic insulators
Ahmed S. Haiba, A. Eliwa Gad
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6

Wavelet Long Short-Term Memory to Fault Forecasting in Electrical Power Grids
Nathielle Waldrigues Branco, Mariana Santos Matos Cavalca, Stéfano Frizzo Stefenon, et al.
(2022)
Open Access | Times Cited: 17

Diagnostics analysis of partial discharge events of the power cables at various voltage levels using ramping behavior analysis method
Sambeet Mishra, Praveen Prakash Singh, Ivar Kiitam, et al.
Electric Power Systems Research (2023) Vol. 227, pp. 109988-109988
Open Access | Times Cited: 8

Insulation aging and fault diagnosis of high-voltage equipment based on deep Q-networks
Yuepeng Xin
Measurement Sensors (2024) Vol. 31, pp. 101016-101016
Open Access | Times Cited: 2

Random Convolutional Kernel Transform with Empirical Mode Decomposition for Classification of Insulators from Power Grid
Anne Carolina Rodrigues Klaar, Laio Oriel Seman, Viviana Cocco Mariani, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1113-1113
Open Access | Times Cited: 2

A novel meta‐learning network for partial discharge source localization in gas‐insulated switchgear via digital twin
Jing Yan, Yanxin Wang, Zhou Yang, et al.
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 9, pp. 1785-1794
Open Access | Times Cited: 2

Trends in Diagnostics and Monitoring of High-Voltage Insulation
Bidhan Biswas, Boxue Du, Marek Florkowski, et al.
IEEE Electrical Insulation Magazine (2024) Vol. 40, Iss. 4, pp. 6-26
Closed Access | Times Cited: 2

Enhancing Transformer Protection: A Machine Learning Framework for Early Fault Detection
Mohammed Alenezi, Fatih Anayi, Michael Packianather, et al.
Sustainability (2024) Vol. 16, Iss. 23, pp. 10759-10759
Open Access | Times Cited: 2

Prediction of Faults Location and Type in Electrical Cables Using Artificial Neural Network
Ana-Maria Moldovan, Mircea Buzdugan
Sustainability (2023) Vol. 15, Iss. 7, pp. 6162-6162
Open Access | Times Cited: 5

Hydrophobicity classification of polymeric insulators using a masked autoencoder model in vision transformer
Satyajit Panigrahy, Subrata Karmakar
Computers & Electrical Engineering (2024) Vol. 116, pp. 109165-109165
Closed Access | Times Cited: 1

Measurement of partial discharge echo and extraction of decay attributes
Marek Florkowski
Measurement (2024) Vol. 238, pp. 115338-115338
Open Access | Times Cited: 1

Unsupervised Deep Learning for Detecting Number of Partial Discharge Sources in Stator Bars
Sara Mantach, Mike Partyka, Valeria Pevtsov, et al.
IEEE Transactions on Dielectrics and Electrical Insulation (2023) Vol. 30, Iss. 6, pp. 2887-2895
Closed Access | Times Cited: 2

Recent Machine Learning-Based Studies of Electrical Insulation Technology
Toshikatsu Tanaka, Takahiro Imai
2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) (2023), pp. 1-4
Closed Access | Times Cited: 2

Switchgear Digitalization—Research Path, Status, and Future Work
Nediljko Kaštelan, Igor Vujović, Maja Krčum, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7922-7922
Open Access | Times Cited: 3

Artificial intelligence and deep learning algorithms for epigenetic sequence analysis: A review for epigeneticists and AI experts
Muhammad Tahir, Mahboobeh Norouzi, Shehroz S. Khan, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109302-109302
Open Access

Deep Reinforcement Learning for Multi-Objective Real-Time Pump Operation in Rainwater Pumping Stations
Jingul Joo, In-Seon Jeong, Seung‐Ho Kang
Water (2024) Vol. 16, Iss. 23, pp. 3398-3398
Open Access

Recurrent Neural Network-Based Autoencoder for Problems of Automatic Time Series Analysis at Power Facilities
Павел Матренин, A.I. Khalyasmaa, Y. V. Potachits
Problems of the Regional Energetics (2023), Iss. 2(58), pp. 61-71
Open Access | Times Cited: 1

Lifetime Prediction of Underground Cable Based on GA-BP Neural Network
Ting Chen, Jian Yu, Chunlin Zhao, et al.
(2023), pp. 960-963
Closed Access | Times Cited: 1

Assessing One-vs-All 1D-CNN Classifiers for Multi-Label Classification of Partial Discharge Waveforms in 3D-Printed Dielectric Samples with Different Void Sizes
Sara Mantach, Ahmed Ashraf, Puneet Gill, et al.
2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) (2022), pp. 305-309
Closed Access | Times Cited: 1

Diagnostics Analysis of Partial Discharge Events of the Power Cables at Various Voltage Levels
Sambeet Mishra, Praveen Prakash Singh, Ivar Kiitam, et al.
(2023)
Closed Access

Neural Network Analysis for Classification of Defected Ceramic Insulators
Ahmed S. Haiba, Ahmed Eliwa
Research Square (Research Square) (2023)
Open Access

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