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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:

Use of State-of-Art Machine Learning Technologies for Forecasting Offshore Wind Speed, Wave and Misalignment to Improve Wind Turbine Performance
Montserrat Sacie, Matilde Santos, R. López, et al.
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 7, pp. 938-938
Open Access | Times Cited: 19

Showing 19 citing articles:

Fuzzy logic control of an artificial neural network-based floating offshore wind turbine model integrated with four oscillating water columns
Irfan Ahmad, Fares M’zoughi, Payam Aboutalebi, et al.
Ocean Engineering (2023) Vol. 269, pp. 113578-113578
Open Access | Times Cited: 39
Machine learning in coastal bridge hydrodynamics: A state-of-the-art review
Guoji Xu, Chengjie Ji, Yong Xu, et al.
Applied Ocean Research (2023) Vol. 134, pp. 103511-103511
Closed Access | Times Cited: 21
Short-term offshore wind speed forecasting approach based on multi-stage decomposition and deep residual network with self-attention
Hakan Açıkgöz, Deniz Korkmaz
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110313-110313
Closed Access
Machine Learning-Based Forecasting of Metocean Data for Offshore Engineering Applications
Mohammad Barooni, Shiva Ghaderpour Taleghani, Masoumeh Bahrami, et al.
Atmosphere (2024) Vol. 15, Iss. 6, pp. 640-640
Open Access | Times Cited: 3
Characterizing the Wake Effects on Wind Power Generator Operation by Data-Driven Techniques
Davide Astolfi, Fabrizio De, Alfredo Vaccaro
Energies (2023) Vol. 16, Iss. 15, pp. 5818-5818
Open Access | Times Cited: 9
Adaptive event-triggering mechanism based Takagi-Sugeno fuzzy automatic generation controller design for offshore wind power system
Zhihong Huo, Chang Xu, Huajian Zhou, et al.
Ocean Engineering (2024) Vol. 302, pp. 117602-117602
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
Wind Speed Prediction Based VMD-BLS and Error Compensation
Xuguo Jiao, Daoyuan Zhang, Dongran Song, et al.
(2023)
Open Access | Times Cited: 5
Wind Speed Prediction Based on VMD-BLS and Error Compensation
Xuguo Jiao, Daoyuan Zhang, Dongran Song, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 5, pp. 1082-1082
Open Access | Times Cited: 2
Prediction of 6-DOF motion response of semi-submersible floating wind turbine in extreme sea conditions using OVMD-FE-PSO-LSTM methodology
Jiarui Huang, Lei Song, Zhuoyi Yang, et al.
Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment (2024)
Closed Access
Detección de anomalías en turbinas eólicas
Diego Marcos Quirós, María José Gómez Silva, Matilde Santos Peña, et al.
(2024), Iss. 45
Closed Access
Mapping of Artificial Intelligence and Robotics Technologies Applied to Offshore Wind Energy
Matheus de Paula, Matheus Eurico Soares de Noronha, Uiara Celine de Moura, et al.
Revista Inteligência Competitiva (2024) Vol. 15, pp. e0474-e0474
Open Access
Data Analysis and Anomaly Detection in a Wind Farm with k-Nearest Neighbors
Bassel Weiss, S. Esteban, Matilde Santos
Lecture notes in computer science (2024), pp. 223-235
Closed Access
Machine learning-driven wind energy mapping enhanced by natural neighbor interpolation
Djoko Adı Widodo, Nur Iksan
Journal of Energy Systems (2024) Vol. 8, Iss. 4, pp. 193-206
Open Access
Predicting coastal wave conditions: A simple machine learning approach
Edward Roome, David Christie, Simon P. Neill
Applied Ocean Research (2024) Vol. 153, pp. 104282-104282
Open Access
Prediction Method of Tunnel Natural Wind Based on Open-Source Meteorological Parameters
Yangqin Ni, Mingnian Wang, Zhenghui Ge, et al.
Processes (2023) Vol. 11, Iss. 1, pp. 224-224
Open Access | Times Cited: 1
Filling Missing and Extending Significant Wave Height Measurements Using Neural Networks and an Integrated Surface Database
Damjan Bujak, Tonko Bogovac, Dalibor Carević, et al.
Wind (2023) Vol. 3, Iss. 2, pp. 151-169
Open Access | Times Cited: 1
Optimized Convolutional Neural Network-Based Adaptive Controller for 6-Phase DFIG-Based Wind Energy Systems
Arunkumar Azhakappan, Agees Kumar Chellappan, Murugan Sethuramalingam
Electric Power Components and Systems (2023) Vol. 51, Iss. 19, pp. 2262-2283
Closed Access
Evaluation of XGBoost vs. other Machine Learning models for wind parameters identification
B. García-Puente, A. Rodríguez-Hurtado, Matilde Santos, et al.
Renewable Energy and Power Quality Journal (2023) Vol. 21, Iss. 1, pp. 388-393
Open Access
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