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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:

Spatiotemporal analysis of bidimensional wind speed forecasting: Development and thorough assessment of LSTM and ensemble graph neural networks on the Dutch database
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, John Scott, et al.
Energy (2023) Vol. 278, pp. 127852-127852
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Wind power forecasting method of large-scale wind turbine clusters based on DBSCAN clustering and an enhanced hunter-prey optimization algorithm
Guolian Hou, Junjie Wang, Yuzhen Fan
Energy Conversion and Management (2024) Vol. 307, pp. 118341-118341
Closed Access | Times Cited: 13
Wind Power Forecasting in the presence of data scarcity: A very short-term conditional probabilistic modeling framework
Sen Wang, Wenjie Zhang, Yonghui Sun, et al.
Energy (2024) Vol. 291, pp. 130305-130305
Closed Access | Times Cited: 12
GAOformer: An adaptive spatiotemporal feature fusion transformer utilizing GAT and optimizable graph matrixes for offshore wind speed prediction
Shengmao Lin, Shu Wang, Xuefang Xu, et al.
Energy (2024) Vol. 292, pp. 130404-130404
Closed Access | Times Cited: 9
Short-term wind speed forecasting based on recurrent neural networks and Levy crystal structure algorithm
Jingwei Zheng, Jianzhou Wang
Energy (2024) Vol. 293, pp. 130580-130580
Closed Access | Times Cited: 8
A GCN-based adaptive generative adversarial network model for short-term wind speed scenario prediction
Xin Liu, Jingjia Yu, Lin Gong, et al.
Energy (2024) Vol. 294, pp. 130931-130931
Closed Access | Times Cited: 8
Ensemble optimization approach based on hybrid mode decomposition and intelligent technology for wind power prediction system
Yagang Zhang, Hui Wang, Jingchao Wang, et al.
Energy (2024) Vol. 292, pp. 130492-130492
Closed Access | Times Cited: 6
Ozone Concentration Estimation and Meteorological Impact Quantification in the Beijing‐Tianjin‐Hebei Region Based on Machine Learning Models
Zheng Luo, Peilan Lu, Zhe Chen, et al.
Earth and Space Science (2024) Vol. 11, Iss. 2
Open Access | Times Cited: 5
Probabilistic wind speed forecasting via Bayesian DLMs and its application in green hydrogen production
J. Leal, Anselmo Ramalho Pitombeira Neto, André Valente Bueno, et al.
Applied Energy (2025) Vol. 382, pp. 125286-125286
Closed Access
Optimization of deterministic and probabilistic forecasting for wind power based on ensemble learning
Sen Wang, Yonghui Sun, Wenjie Zhang, et al.
Energy (2025), pp. 134884-134884
Closed Access
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
Application of graph neural networks to forecast urban flood events: the case study of the 2013 flood of the Bow River, Calgary, Canada
Paulo Alexandre Costa Rocha, Victor Oliveira Santos, John Scott, et al.
International Journal of River Basin Management (2024), pp. 1-18
Closed Access | Times Cited: 4
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
Proactive failure warning for wind power forecast models based on volatility indicators analysis
Yunxiao Chen, Chaojing Lin, Yilan Zhang, et al.
Energy (2024) Vol. 305, pp. 132310-132310
Closed Access | Times Cited: 2
Hybrid deep learning approach for rock tunnel deformation prediction based on spatio-temporal patterns
Junfeng Sun, Yong Fang, H. Luo, et al.
Underground Space (2024) Vol. 20, pp. 100-118
Closed Access | Times Cited: 2
A Novel Hybrid Method for Multi-Step Short-Term 70 m Wind Speed Prediction Based on Modal Reconstruction and STL-VMD-BiLSTM
Xuanfang Da, Dong Ye, Yanbo Shen, et al.
Atmosphere (2024) Vol. 15, Iss. 8, pp. 1014-1014
Open Access | Times Cited: 2
Graph-Based Deep Learning Model for Forecasting Chloride Concentration in Urban Streams to Protect Salt-Vulnerable Areas
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, Bahram Gharabaghi, et al.
(2023)
Open Access | Times Cited: 7
Machine Learning Dynamic Ensemble Methods for Solar Irradiance and Wind Speed Predictions
Francisco Diego Vidal Bezerra, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, et al.
(2023)
Open Access | Times Cited: 7
Graph-Based Deep Learning Model for Forecasting Chloride Concentration in Urban Streams to Protect Salt-Vulnerable Areas
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, Jesse Thé, et al.
Environments (2023) Vol. 10, Iss. 9, pp. 157-157
Open Access | Times Cited: 7
Long, short, and medium terms wind speed prediction model based on LSTM optimized by improved moth flame optimization algorithm
Runze Li, Jianzhou Wang, Jingrui Li, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 25, pp. 37256-37282
Closed Access | Times Cited: 2
Machine Learning Dynamic Ensemble Methods for Solar Irradiance and Wind Speed Predictions
Francisco Diego Vidal Bezerra, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, et al.
Atmosphere (2023) Vol. 14, Iss. 11, pp. 1635-1635
Open Access | Times Cited: 6
New Graph-Based and Transformer Deep Learning Models for River Dissolved Oxygen Forecasting
Paulo Alexandre Costa Rocha, Victor Oliveira Santos, Jesse Thé, et al.
Environments (2023) Vol. 10, Iss. 12, pp. 217-217
Open Access | Times Cited: 6
Short-Term Load Forecasting of Microgrid Based on TVFEMD-LSTM-ARMAX Model
Yufeng Yin, Wenbo Wang, Min Yu
Transactions on Electrical and Electronic Materials (2024) Vol. 25, Iss. 3, pp. 265-279
Closed Access | Times Cited: 1
Long-term wind power forecasting with series decomposition and spatio-temporal graph neural network
Yujie Yang, Libin Chen, Wenbin Zheng, et al.
International Journal of Green Energy (2024) Vol. 21, Iss. 15, pp. 3470-3484
Closed Access | Times Cited: 1
A novel spatial–temporal generative autoencoder for wind speed uncertainty forecasting
Long Ma, Ling Huang, Huifeng Shi
Energy (2023) Vol. 282, pp. 128946-128946
Closed Access | Times Cited: 3
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