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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:

Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model
Lionel Joseph, Ravinesh C. Deo, David Casillas-Pérez, et al.
Applied Energy (2024) Vol. 359, pp. 122624-122624
Open Access | Times Cited: 13

Showing 13 citing articles:

A novel bimodal feature fusion network-based deep learning model with intelligent fusion gate mechanism for short-term photovoltaic power point-interval forecasting
Zhi-Feng Liu, Xiaorui Chen, Ya-He Huang, et al.
Energy (2024) Vol. 303, pp. 131947-131947
Closed Access | Times Cited: 5
A novel spatiotemporal fusion wind speed prediction method under wind farm control center: BiTCN–transformer–cross-attention
Wanyi Yang, Tao Liang, Dabin Mi, et al.
Journal of Renewable and Sustainable Energy (2025) Vol. 17, Iss. 1
Closed Access
A multi-stage multivariable offshore wind speed assessment system incorporating statistical analysis, decomposition, feature selection, bias correction, and attention-based hybrid prediction
Jingjing Cai, Cheng Peng, Li Xu, et al.
Wind Engineering (2025)
Closed Access
Atmospheric Visibility and Cloud Ceiling Predictions with Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji’s Aviation Industry
Shiveel Raj, Ravinesh C. Deo, Ekta Sharma, et al.
IEEE Access (2024) Vol. 12, pp. 72530-72543
Open Access | Times Cited: 4
A novel approach for multivariate time series interval prediction of water quality at wastewater treatment plants
Siyu Liu, Zhaocai Wang, Yanyu Li
Water Science & Technology (2024) Vol. 90, Iss. 10, pp. 2813-2841
Open Access | Times Cited: 2
Spatio-temporal prediction of total energy consumption in multiple regions using explainable deep neural network
Shiliang Peng, Lin Fan, Zhang Li, et al.
Energy (2024) Vol. 301, pp. 131526-131526
Closed Access | Times Cited: 1
Solving few-shot problem in wind speed prediction: A novel transfer strategy based on decomposition and learning ensemble
Yang Sun, Zhirui Tian
Applied Energy (2024) Vol. 377, pp. 124717-124717
Closed Access | Times Cited: 1
A Non-stationary Transformer model for power forecasting with dynamic data distillation and wake effect correction suitable for large wind farms
Guopeng Zhu, Weiqing Jia, Lifeng Cheng, et al.
Energy Conversion and Management (2024) Vol. 324, pp. 119292-119292
Closed Access | Times Cited: 1
Explainable hybrid deep learning framework for enhancing multi-step solar ultraviolet-B radiation predictions
Salvin S. Prasad, Lionel Joseph, Sujan Ghimire, et al.
Atmospheric Environment (2024), pp. 120951-120951
Closed Access | Times Cited: 1
Using stacking ensemble learning to predict multi-step wind speed based on wavelet transformation, two-steps feature selection method, and neural networks
Faezeh Amirteimoury, Gholamreza Memarzadeh, Farshid Keynia
Measurement (2024) Vol. 244, pp. 116500-116500
Closed Access | Times Cited: 1
Using Stacking Ensemble Learning to Predict Multi-Step Wind Speed Based on Wavelet Transformation, a Two-Steps Feature Selection Method, and Neural Networks
Faezeh Amirteimoury, Gholamreza Memarzadeh, Farshid Keynia
(2024)
Closed Access
A Novel Combined Model Integrating Twin Compensation and Dung Beetle Optimizer for Photovoltaic Power Prediction
Linlin Fu, Jing Qian, Yun Zeng, et al.
(2024)
Closed Access
A Novel Combined Model Integrating Twin Compensation and Dung Beetle Optimizer for Photovoltaic Power Prediction
Linlin Fu, Jing Qian, Yun Zeng, et al.
(2024)
Closed Access
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