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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:

Exploring Quantum Machine Learning and Feature Reduction Techniques for Wind Turbine Pitch Fault Detection
Camila Correa-Jullian, Sergio Cofre-Martel, Gabriel San Martín, et al.
Energies (2022) Vol. 15, Iss. 8, pp. 2792-2792
Open Access | Times Cited: 18

Showing 18 citing articles:

Remaining Useful Life Estimation Framework for the Main Bearing of Wind Turbines Operating in Real Time
Januário Leal de Moraes Vieira, Felipe Farias, Álvaro Antônio Villa Ochoa, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1430-1430
Open Access | Times Cited: 5
Optimizing the Architecture of a Quantum–Classical Hybrid Machine Learning Model for Forecasting Ozone Concentrations: Air Quality Management Tool for Houston, Texas
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, Jesse Thé, et al.
Atmosphere (2025) Vol. 16, Iss. 3, pp. 255-255
Open Access
New perspectives on structural health monitoring using unsupervised quantum machine learning
Victor Alves, Raphael Fortes Infante Gomes, Alexandre Cury
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112489-112489
Closed Access
The Influence of Variational Mode Decomposition on LSTM Prediction Accuracy - A Case Study with Wind Turbine Power Signals
Mingkun Fang, Fangfang Zhang, Di Zhu, et al.
Renewable Energy (2025), pp. 122863-122863
Closed Access
Quantum machine learning based wind turbine condition monitoring: State of the art and future prospects
Zhefeng Zhang, Yueqi Wu, Xiandong Ma
Energy Conversion and Management (2025) Vol. 332, pp. 119694-119694
Open Access
A comprehensive survey on applications of AI technologies to failure analysis of industrial systems
Siguo Bi, Cong Wang, Bochun Wu, et al.
Engineering Failure Analysis (2023) Vol. 148, pp. 107172-107172
Closed Access | Times Cited: 14
Application of Quantum Neural Network for Solar Irradiance Forecasting: A Case Study Using the Folsom Dataset, California
Victor Oliveira Santos, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, et al.
(2024)
Open Access | Times Cited: 3
Application of Quantum Neural Network for Solar Irradiance Forecasting: A Case Study Using the Folsom Dataset, California
Victor Oliveira Santos, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, et al.
Energies (2024) Vol. 17, Iss. 14, pp. 3580-3580
Open Access | Times Cited: 3
A robust fleet-based anomaly detection framework applied to wind turbine vibration data
Gustavo de Novaes Pires Leite, Felipe Farias, Tiago Gomes de Sá, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106859-106859
Closed Access | Times Cited: 8
Prognostics and Health Management of Rotating Machinery via Quantum Machine Learning
Caio Bezerra Souto Maior, Lavínia Maria Mendes Araújo, Isis Didier Lins, et al.
IEEE Access (2023) Vol. 11, pp. 25132-25151
Open Access | Times Cited: 7
Fault detection framework in wind turbine pitch systems using machine learning: Development, validation, and results
Caio Filipe de Lima Munguba, Álvaro Antônio Villa Ochoa, Gustavo de Novaes Pires Leite, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109307-109307
Closed Access | Times Cited: 1
Neural Networks for Improving Wind Power Efficiency: A Review
Heesoo Shin, Mario Rüttgers, Sang-Seung Lee
Fluids (2022) Vol. 7, Iss. 12, pp. 367-367
Open Access | Times Cited: 7
Application of Quantum Computing in Power Systems
Fang Gao, Guojian Wu
Energies (2023) Vol. 16, Iss. 5, pp. 2240-2240
Open Access | Times Cited: 2
Quantum Kernel Functions for the Prognosis and Health Management of Ball-Bearing Elements
Gabriel San Martín Silva, Enrique López Droguett
(2024), pp. 257-264
Closed Access
Anomaly Detection for Real-World Cyber-Physical Security Using Quantum Hybrid Support Vector Machines
Tyler Cultice, Md. Saif Hassan Onim, Annarita Giani, et al.
(2024), pp. 619-624
Closed Access
Dimensionality Reduction for Data Analysis With Quantum Feature Learning
Shyam R. Sihare
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024)
Closed Access
Research on force model and characteristics of large wind turbine pitch system based on SCADA data
Mimi Li, Juchuan Dai, Fan Zhang, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 1
Fault Identification in Wind Turbines: A Data-Centric Machine Learning Approach
Danielle Pinna, Rodrigo F. Toso, Rafaelli Coutinho, et al.
2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2022), pp. 565-568
Closed Access | Times Cited: 1
Quantum Inference for Reliability Assessment
Gabrieln San Martí Silva, Enrique López Droguett
2022 Annual Reliability and Maintainability Symposium (RAMS) (2023), pp. 1-6
Closed Access
Rotating Machinery Health State Diagnosis Through Quantum Machine Learning
Lavínia Maria Mendes Araújo, Isis Didier Lins, Caio Bezerra Souto Maior, et al.
(2023), pp. 1808-1809
Open Access
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