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:

Exploratory Analysis of SCADA Data from Wind Turbines Using the K-Means Clustering Algorithm for Predictive Maintenance Purposes
Pablo Cosa Rodriguez, Pere Martí-Puig, César F. Caiafa, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 270-270
Open Access | Times Cited: 15

Showing 15 citing articles:

A comprehensive review on enhancing wind turbine applications with advanced SCADA data analytics and practical insights
Ravi Pandit, Jianlin Wang
IET Renewable Power Generation (2024) Vol. 18, Iss. 4, pp. 722-742
Open Access | Times Cited: 5

Predictive Wind Turbine Power Analysis Based on SCADA Data and Machine Learning Algorithms
Zouhir Iourzikene, Fawzi Gougam, Djamel Benazzouz
Lecture notes in networks and systems (2025), pp. 32-42
Closed Access

STEP: A structured prompt optimization method for SCADA system tag generation using LLMs
Fang Ma, Dong Li, Yu Liu, et al.
Journal of Industrial Information Integration (2025), pp. 100832-100832
Closed Access

A review of artificial intelligence applications in wind turbine health monitoring
Abirami Sasinthiran, G. Sakthivel, Ramesh Ragala
International Journal of Sustainable Energy (2024) Vol. 43, Iss. 1
Open Access | Times Cited: 3

ML- and LSTM-Based Radiator Predictive Maintenance for Energy Saving in Compressed Air Systems
Seung Hyun Jeon, Sarang Yoo, Yoon-Sik Yoo, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1428-1428
Open Access | Times Cited: 2

Machine Learning in Modern SCADA Systems: Opportunities and Challenges
Ivana Šenk, Srdjan Tegeltija, Laslo Tarjan
(2024), pp. 1-5
Closed Access | Times Cited: 2

Unlocking the potential: A review of artificial intelligence applications in wind energy
Safa Dörterler, Seyfullah Arslan, Durmuş Özdemir
Expert Systems (2024) Vol. 41, Iss. 12
Open Access | Times Cited: 2

Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost
Hongyan Dui, Yulu Zhang, Yunan Zhang
Mathematics (2023) Vol. 11, Iss. 8, pp. 1954-1954
Open Access | Times Cited: 6

Advancing Predictive Maintenance with PHM-ML Modeling: Optimal Covariate Weight Estimation and State Band Definition under Multi-Condition Scenarios
David R. Godoy, Constantino Mavrakis, Rodrigo Mena, et al.
Machines (2024) Vol. 12, Iss. 6, pp. 403-403
Open Access | Times Cited: 1

Forecasting wind turbine blade waste with material composition and geographical distribution: Methodology and application to Germany
Philipp Johst, Moritz Bühl, Chiara Enderle, et al.
Resources Conservation and Recycling (2024) Vol. 211, pp. 107876-107876
Open Access | Times Cited: 1

Machine Learning Applied to Industrial Machines for an Efficient Maintenance Strategy: A Predictive Maintenance Approach
Bruno Mota, Pedro Faria, Carlos Ramos
Lecture notes in computer science (2023), pp. 289-299
Closed Access | Times Cited: 3

Exploratory Data Analysis and Energy Predictions With Advanced AI and ML Techniques
T. Santhoshkumar, S. Vanila
Advances in computational intelligence and robotics book series (2024), pp. 336-370
Closed Access

A new approach: ordinal predictive maintenance with ensemble binary decomposition (OPMEB)
Ozlem Ece Yurek, Derya Birant
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (2024) Vol. 32, Iss. 4, pp. 534-554
Open Access

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