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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:

Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses
Kevin Leahy, Colm Gallagher, Peter O’Donovan, et al.
Energies (2019) Vol. 12, Iss. 2, pp. 201-201
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

A Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines: Fault Diagnosis and Lifetime Prognosis
Hamed Badihi, Youmin Zhang, Bin Jiang, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 6, pp. 754-806
Open Access | Times Cited: 136
Using SCADA Data for Wind Turbine Condition Monitoring: A Systematic Literature Review
Jorge Maldonado-Correa, Sergio Martín‐Martínez, Estefanía Artigao, et al.
Energies (2020) Vol. 13, Iss. 12, pp. 3132-3132
Open Access | Times Cited: 112
Reliability, availability, maintainability data review for the identification of trends in offshore wind energy applications
D Cevasco, Sofia Koukoura, Athanasios Kolios
Renewable and Sustainable Energy Reviews (2020) Vol. 136, pp. 110414-110414
Open Access | Times Cited: 106
Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future
Joyjit Chatterjee, Nina Dethlefs
Renewable and Sustainable Energy Reviews (2021) Vol. 144, pp. 111051-111051
Open Access | Times Cited: 86
Wind Turbine Main Bearing Fault Prognosis Based Solely on SCADA Data
Ángel Encalada‐Dávila, Bryan Puruncajas, Christian Tutivén, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2228-2228
Open Access | Times Cited: 77
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions
Florian Stadtmann, Adil Rasheed, Trond Kvamsdal, et al.
IEEE Access (2023) Vol. 11, pp. 110762-110795
Open Access | Times Cited: 29
Advancing Wind Energy Efficiency: A Systematic Review of Aerodynamic Optimization in Wind Turbine Blade Design
Ali Akbar Firoozi, Farzad Hejazi, Ali Asghar Firoozi
Energies (2024) Vol. 17, Iss. 12, pp. 2919-2919
Open Access | Times Cited: 9
Challenges on prognostics and health management for wind turbine components
Jokin Cuesta, Urko Leturiondo, Yolanda Vidal, et al.
Journal of Physics Conference Series (2024) Vol. 2745, Iss. 1, pp. 012003-012003
Open Access | Times Cited: 5
Artificial Intelligence Methodologies in Smart Grid-Integrated Doubly Fed Induction Generator Design Optimization and Reliability Assessment: A Review
Ramesh Kumar Behara, Akshay Kumar Saha
Energies (2022) Vol. 15, Iss. 19, pp. 7164-7164
Open Access | Times Cited: 23
Full-scale wind turbine performance assessment: a customised, sensor-augmented aeroelastic modelling approach
Tahir H. Malik, Christian Bak
Wind energy science (2025) Vol. 10, Iss. 1, pp. 269-291
Open Access
Artificial intelligence techniques framework in the design and optimisation phase of the doubly fed induction generator's power electronic converters: A review of current status and future trends
Ramesh Kumar Behara, Akshay Kumar Saha
Renewable and Sustainable Energy Reviews (2025) Vol. 215, pp. 115573-115573
Open Access
A review of prognostics and health management techniques in wind energy
Jokin Cuesta, Urko Leturiondo, Yolanda Vidal, et al.
Reliability Engineering & System Safety (2025), pp. 111004-111004
Closed Access
Big Data Quality Processing Model Applied to Predictive Maintenance Strategies for Wind Farms
Pablo Rodrigo Volpe, Priscila Silveira Ebert, F. Weschenfelder, et al.
Communications in computer and information science (2025), pp. 62-76
Closed Access
Gearbox Fault Prediction of Wind Turbines Based on a Stacking Model and Change-Point Detection
Tongke Yuan, Zhifeng Sun, Shihao Ma
Energies (2019) Vol. 12, Iss. 22, pp. 4224-4224
Open Access | Times Cited: 35
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: 20
Reliability of onshore wind turbines based on linking power curves to failure and maintenance records: A case study in central Spain
Andres J. Sanchez‐Fernandez, José‐Luis González‐Sánchez, Íñigo Luna Rodríguez, et al.
Wind Energy (2023) Vol. 26, Iss. 4, pp. 349-364
Open Access | Times Cited: 9
Wind Turbine Damage Equivalent Load Assessment Using Gaussian Process Regression Combining Measurement and Synthetic Data
Rad Haghi, C. Stagg, Curran Crawford
Energies (2024) Vol. 17, Iss. 2, pp. 346-346
Open Access | Times Cited: 3
Knowledge engineering for wind energy
Yuriy Marykovskiy, Thomas A. Clark, Justin Day, et al.
Wind energy science (2024) Vol. 9, Iss. 4, pp. 883-917
Open Access | Times Cited: 3
Savonius-Magnus Hybrid Turbine Design Performance Based on Computational Fluid Dynamics
Rr. Heni Hendaryati, Achmad Fauzan Hery Soegiharto, Dolly Salwansyah, et al.
CFD letters (2024) Vol. 16, Iss. 10, pp. 43-53
Open Access | Times Cited: 3
Improved Ensemble Learning for Wind Turbine Main Bearing Fault Diagnosis
Mattia Beretta, Yolanda Vidal, J. R. Guzmán-Sepúlveda, et al.
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7523-7523
Open Access | Times Cited: 21
Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour models
Simon Letzgus
Wind energy science (2020) Vol. 5, Iss. 4, pp. 1375-1397
Open Access | Times Cited: 23
Full-scale wind turbine performance assessment using the turbine performance integral (TPI) method: a study of aerodynamic degradation and operational influences
Tahir H. Malik, Christian Bak
Wind energy science (2024) Vol. 9, Iss. 10, pp. 2017-2037
Open Access | Times Cited: 2
On the importance of assessing the operational context impact on maintenance management for life cycle cost of wind energy projects
Juan Santiago Murgui Izquierdo, Adolfo Crespo Márquez, Jone Uribetxebarria, et al.
Renewable Energy (2020) Vol. 153, pp. 1100-1110
Open Access | Times Cited: 20
Enabling Co-Innovation for a Successful Digital Transformation in Wind Energy Using a New Digital Ecosystem and a Fault Detection Case Study
Sarah Barber, Luiz A. M. Lima, Yoshiaki Sakagami, et al.
Energies (2022) Vol. 15, Iss. 15, pp. 5638-5638
Open Access | Times Cited: 10
Hybrid recommendations and dynamic authoring for AR knowledge capture and re-use in diagnosis applications
Iñigo Fernández del Amo, John Ahmet Erkoyuncu, Maryam Farsi, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 107954-107954
Open Access | Times Cited: 13
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