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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:

Electrical Insulator Fault Forecasting Based on a Wavelet Neuro-Fuzzy System
Stéfano Frizzo Stefenon, Roberto Zanetti Freire, Leandro dos Santos Coelho, et al.
Energies (2020) Vol. 13, Iss. 2, pp. 484-484
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model
Andressa Borré, Laio Oriel Seman, Eduardo Camponogara, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4512-4512
Open Access | Times Cited: 49
Wavelet group method of data handling for fault prediction in electrical power insulators
Stéfano Frizzo Stefenon, Matheus Henrique Dal Molin Ribeiro, Ademir Nied, et al.
International Journal of Electrical Power & Energy Systems (2020) Vol. 123, pp. 106269-106269
Closed Access | Times Cited: 97
Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam
Stéfano Frizzo Stefenon, Matheus Henrique Dal Molin Ribeiro, Ademir Nied, et al.
Electric Power Systems Research (2021) Vol. 202, pp. 107584-107584
Closed Access | Times Cited: 85
Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting
Stéfano Frizzo Stefenon, Matheus Henrique Dal Molin Ribeiro, Ademir Nied, et al.
IEEE Access (2021) Vol. 9, pp. 66387-66397
Open Access | Times Cited: 81
Electricity Price Forecasting Based on Self-Adaptive Decomposition and Heterogeneous Ensemble Learning
Matheus Henrique Dal Molin Ribeiro, Stéfano Frizzo Stefenon, José Donizetti de Lima, et al.
Energies (2020) Vol. 13, Iss. 19, pp. 5190-5190
Open Access | Times Cited: 74
Echo state network applied for classification of medium voltage insulators
Stéfano Frizzo Stefenon, Laio Oriel Seman, Nemesio Fava Sopelsa Neto, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 134, pp. 107336-107336
Closed Access | Times Cited: 68
Digital Twin in Electrical Machine Control and Predictive Maintenance: State-of-the-Art and Future Prospects
Georgios Falekas, Athanasios Karlis
Energies (2021) Vol. 14, Iss. 18, pp. 5933-5933
Open Access | Times Cited: 58
Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models
Nemesio Fava Sopelsa Neto, Stéfano Frizzo Stefenon, Luiz Henrique Meyer, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 6121-6121
Open Access | Times Cited: 54
Artificial Intelligence of Things Applied to Assistive Technology: A Systematic Literature Review
Maurício Pasetto de Freitas, Vinícius Aquino Piai, Ricardo Heffel Farias, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8531-8531
Open Access | Times Cited: 39
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
Risk assessment of contaminated composite insulators in pre-flashover conditions
Hamid Reza Sezavar, Navid Fahimi, Saeed Hasanzadeh, et al.
Electric Power Systems Research (2024) Vol. 230, pp. 110256-110256
Closed Access | Times Cited: 8
Seq2Seq-LSTM With Attention for Electricity Load Forecasting in Brazil
William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, et al.
IEEE Access (2024) Vol. 12, pp. 30020-30029
Open Access | Times Cited: 7
Fault detection in insulators based on ultrasonic signal processing using a hybrid deep learning technique
Stéfano Frizzo Stefenon, Roberto Zanetti Freire, Luiz Henrique Meyer, et al.
IET Science Measurement & Technology (2020) Vol. 14, Iss. 10, pp. 953-961
Closed Access | Times Cited: 60
Photovoltaic power forecasting using wavelet Neuro-Fuzzy for active solar trackers
Stéfano Frizzo Stefenon, Christopher Kasburg, Roberto Zanetti Freire, et al.
Journal of Intelligent & Fuzzy Systems (2020) Vol. 40, Iss. 1, pp. 1083-1096
Closed Access | Times Cited: 55
Hybrid deep learning for power generation forecasting in active solar trackers
Stéfano Frizzo Stefenon, Christopher Kasburg, Ademir Nied, et al.
IET Generation Transmission & Distribution (2020) Vol. 14, Iss. 23, pp. 5667-5674
Open Access | Times Cited: 55
A Study of Multilayer Perceptron Networks Applied to Classification of Ceramic Insulators Using Ultrasound
Nemesio Fava Sopelsa Neto, Stéfano Frizzo Stefenon, Luiz Henrique Meyer, et al.
Applied Sciences (2021) Vol. 11, Iss. 4, pp. 1592-1592
Open Access | Times Cited: 52
Classification of Contaminated Insulators Using k-Nearest Neighbors Based on Computer Vision
Marcelo Picolotto Corso, Fábio Perez, Stéfano Frizzo Stefenon, et al.
Computers (2021) Vol. 10, Iss. 9, pp. 112-112
Open Access | Times Cited: 45
Comparison of artificial intelligence techniques to failure prediction in contaminated insulators based on leakage current
Alessandro Medeiros, Andreza Sartori, Stéfano Frizzo Stefenon, et al.
Journal of Intelligent & Fuzzy Systems (2021) Vol. 42, Iss. 4, pp. 3285-3298
Closed Access | Times Cited: 45
Long short-term memory stacking model to predict the number of cases and deaths caused by COVID-19
Filipe Fernandes, Stéfano Frizzo Stefenon, Laio Oriel Seman, et al.
Journal of Intelligent & Fuzzy Systems (2021) Vol. 42, Iss. 6, pp. 6221-6234
Open Access | Times Cited: 42
Particle swarm optimization for design of insulators of distribution power system based on finite element method
Stéfano Frizzo Stefenon, Clodoaldo Schutel Furtado Neto, Thiago Spindola Coelho, et al.
Electrical Engineering (2021) Vol. 104, Iss. 2, pp. 615-622
Closed Access | Times Cited: 41
Bootstrap aggregation with Christiano–Fitzgerald random walk filter for fault prediction in power systems
Nathielle Waldrigues Branco, Mariana Santos Matos Cavalca, Raúl García Ovejero
Electrical Engineering (2024) Vol. 106, Iss. 3, pp. 3657-3670
Closed Access | Times Cited: 5
Parametric and Nonparametric Machine Learning Techniques for Increasing Power System Reliability: A Review
Fariha Imam, Petr Musı́lek, Marek Reformat
Information (2024) Vol. 15, Iss. 1, pp. 37-37
Open Access | Times Cited: 5
Tools for Measuring Energy Sustainability: A Comparative Review
Rafael Ninno Muniz, Stéfano Frizzo Stefenon, William Gouvêa Buratto, et al.
Energies (2020) Vol. 13, Iss. 9, pp. 2366-2366
Open Access | Times Cited: 47
Fault detection and diagnosis methods for green hydrogen production: A review
Mehdi Kheirrouz, F. Melino, Maria Alessandra Ancona
International Journal of Hydrogen Energy (2022) Vol. 47, Iss. 65, pp. 27747-27774
Open Access | Times Cited: 27
Contamination Level Monitoring Techniques for High-Voltage Insulators: A Review
Luqman S. Maraaba, Khaled Al-Soufi, Twaha Ssennoga, et al.
Energies (2022) Vol. 15, Iss. 20, pp. 7656-7656
Open Access | Times Cited: 23
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