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:

A review of short-term wind power generation forecasting methods in recent technological trends
Ezgi Arslan Tuncar, Şafak Sağlam, Bülent Oral
Energy Reports (2024) Vol. 12, pp. 197-209
Closed Access | Times Cited: 9

Showing 9 citing articles:

Long Short‐Term Memory Wavelet Neural Network for Renewable Energy Generation Forecasting
Eliana Vivas, Héctor Allende‐Cid, Lelys Bravo de Guenni, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access

Feature fusion temporal convolution: Wind power forecasting with light hyperparameter optimization
Majad Mansoor, Tao Gong, Adeel Feroz Mirza, et al.
Energy Reports (2025) Vol. 13, pp. 2468-2481
Closed Access

Ultra-short-term Wind power prediction algorithm based on bidirectional neural controlled differential equations
Chu Li, Bingjia Xiao, Qiping Yuan
Electric Power Systems Research (2025) Vol. 243, pp. 111479-111479
Closed Access

FTLNet: federated deep learning model for multi-horizon wind power forecasting
Majad Mansoor, Tao Gong, Adeel Feroz Mirza, et al.
Discover Internet of Things (2025) Vol. 5, Iss. 1
Open Access

Multi-step ahead wind power forecasting based on multi-feature wavelet decomposition and convolution-gated recurrent unit model
S.N. Shringi, Lalit Mohan Saini, S. K. Aggarwal
Electrical Engineering (2025)
Closed Access

Integrating domain knowledge into transformer for short-term wind power forecasting
Junhao Cheng, Xing Luo, Zhi Jin
Energy (2024), pp. 133511-133511
Closed Access | Times Cited: 2

Applying machine learning to electricity price forecasting in simulated energy market scenarios
Felix Nitsch, Christoph Schimeczek, Valentin Bertsch
Energy Reports (2024) Vol. 12, pp. 5268-5279
Closed Access

High-resolution working layouts and time series for renewable energy generation in Europe
Oliver Grothe, Fabian Kächele, Mira Wälde
Renewable Energy (2024), pp. 121967-121967
Open Access

Research progress and prospects of machine learning applications in renewable energy: a comprehensive bibliometric-based review
Xuping Wang, Yong Shen, Chang Su
International Journal of Environmental Science and Technology (2024)
Closed Access

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