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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.

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Showing 22 citing articles:

A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges
Zongxu Liu, Hui Guo, Y. Zhang, et al.
Energies (2025) Vol. 18, Iss. 2, pp. 350-350
Open Access | Times Cited: 1
Short-term wind power prediction using a novel model based on butterfly optimization algorithm-variational mode decomposition-long short-term memory
Yonggang Wang, Kaixing Zhao, Yue Hao, et al.
Applied Energy (2024) Vol. 366, pp. 123313-123313
Closed Access | Times Cited: 13
Wind Power Forecasting with Machine Learning Algorithms in Low-Cost Devices
Pablo Andrés Buestán Andrade, Mario Peñacoba, Jesús Enrique Sierra-García, et al.
Electronics (2024) Vol. 13, Iss. 8, pp. 1541-1541
Open Access | Times Cited: 6
Revolutionizing wind turbine fault diagnosis on supervisory control and data acquisition system with transparent artificial intelligence
Muhammad Irfan, Sana Yasin, Umar Draz, et al.
International Journal of Green Energy (2025), pp. 1-17
Closed Access
Green production process and outer packaging design in mechanical manufacturing based on thermal modeling: Low carbon design solution
Mei X. Wu, Xianwei Li, Yangyang Ma, et al.
Thermal Science and Engineering Progress (2025) Vol. 59, pp. 103403-103403
Closed Access
DeepVELOX: INVELOX Wind Turbine Intelligent Power Forecasting Using Hybrid GWO–GBR Algorithm
Ashkan Safari, Hamed Kheirandish Gharehbagh, Morteza Nazari‐Heris
Energies (2023) Vol. 16, Iss. 19, pp. 6889-6889
Open Access | Times Cited: 14
Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 4
Data Analysis in Wind Power Prediction: An Essential Step Before Data-Based Modeling
Aswitha Tadepalli, NagaSree Keerthi Pujari, Kishalay Mitra
(2025), pp. 225-241
Closed Access
Forecasting Wind Farm Production in the Short, Medium, and Long Terms Using Various Machine Learning Algorithms
Gökhan Ekinci, Harun Kemal Öztürk
Energies (2025) Vol. 18, Iss. 5, pp. 1125-1125
Open Access
Machine learning-based wind speed prediction using random forest: a cross-validated analysis for renewable energy applications
Ahmet Durap
Turkish Journal of Engineering (2025) Vol. 9, Iss. 3, pp. 508-518
Open Access
Generalizable Wind Power Estimation from Historic Meteorological Data by Advanced Artificial Neural Networks
Mert Akın İnsel, Burcin Melek Ozturk, Özgün Yücel, et al.
Renewable Energy (2025), pp. 122995-122995
Closed Access
Short-term wind power forecasting using integrated boosting approach
Ubaid Ahmed, Rasheed Muhammad, Syed Sami Abbas, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 3
Multi-Angle Reliability Evaluation of Grid-Connected Wind Farms with Energy Storage Based on Latin Hypercube Important Sampling
Weixin Yang, Yangfan Zhang, Yu Wang, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6427-6427
Open Access | Times Cited: 7
Short-duration prediction of urban storm-water levels using the residual-error ensemble correction technique
Wen‐Dar Guo, Wei‐Bo Chen
Journal of Hydroinformatics (2024) Vol. 26, Iss. 7, pp. 1505-1533
Open Access | Times Cited: 2
An intelligent optimized deep network-based predictive system for wind power plant application
Mohammad Abdul Baseer, Anas Almunif, Ibrahim Alsaduni, et al.
Electrical Engineering (2024) Vol. 106, Iss. 5, pp. 6295-6307
Closed Access | Times Cited: 1
A Novel Stacking Ensemble Variant Based on Machine Learning for Short-Term Wind Speed Forecasting
Sebastiao B. Fonseca, Oliveira Júnior, Carolina M. Affonso
(2024)
Closed Access | Times Cited: 1
Feature Selection by Binary Differential Evolution for Predicting the Energy Production of a Wind Plant
Sameer Al‐Dahidi, Piero Baraldi, Miriam Fresc, et al.
Energies (2024) Vol. 17, Iss. 10, pp. 2424-2424
Open Access
A machine intelligence model based on random forest for data related renewable energy from wind farms in Brazil
Reinaldo Padilha França, Rodrigo Bonacin, Ana Carolina Borges Monteiro
Elsevier eBooks (2024), pp. 127-139
Closed Access
Short-Term Energy Generation Forecasts at a Wind Farm—A Multi-Variant Comparison of the Effectiveness and Performance of Various Gradient-Boosted Decision Tree Models
Marcin Kopyt, P. Piotrowski, D. Baczyński
Energies (2024) Vol. 17, Iss. 23, pp. 6194-6194
Open Access
Predicting wind power using LSTM, Transformer, and other techniques
M. Arunkumar, R. K., S. Rajesh, et al.
Clean Technologies and Recycling (2024) Vol. 4, Iss. 2, pp. 125-145
Open Access
Bibliometrix applied to computational simulation for wind generator
Tainan Sousa Viana, Alexandre Sales Costa, Lara Albuquerque Fortes, et al.
Latin American Journal of Energy Research (2024) Vol. 11, Iss. 2, pp. 119-134
Open Access
Improving short-term active power prediction through optimization of the categorical boosting model with meta-heuristic algorithms
Wei Yan, Jie Zhang
Electrical Engineering (2024)
Closed Access
Unveiling the Dynamic Influence Zones of Distributed Generation Units Using a Visualisation Approach
Yasmin Nigar, Ashish P. Agalgaonkar, Kashem M. Muttaqi
(2023), pp. 1-6
Closed Access
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