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 Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Whei-Min Lin, et al.
(2023)
Open Access | Times Cited: 14

Showing 14 citing articles:

SVMD-TF-QS: An efficient and novel hybrid methodology for the wind speed prediction
Srihari Parri, Kiran Teeparthi
Expert Systems with Applications (2024) Vol. 249, pp. 123516-123516
Closed Access | Times Cited: 11

Application of Artificial Intelligence in Wind Power Systems
Mladen Bošnjaković, Marko Martinović, Kristian Đokić
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2443-2443
Open Access | Times Cited: 1

Forecasting the power generation at renewable power plants in Sri Lanka using regression trees
Jeevani Jayasinghe, Piyal Ekanayake, Oshadi Panahatipola, et al.
Results in Engineering (2024) Vol. 22, pp. 102111-102111
Open Access | Times Cited: 7

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: 6

Designing a Photovoltaic–Wind Energy Mix with Energy Storage for Low-Emission Hydrogen Production
Arkadiusz Małek, Agnieszka Dudziak, Andrzej Marciniak, et al.
Energies (2025) Vol. 18, Iss. 4, pp. 846-846
Open Access

A Review of Wind Power Prediction Methods Based on Multi-Time Scales
Fan Li, Hongzhen Wang, Dan Wang, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1713-1713
Open Access

An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks
Tacjana Niksa-Rynkiewicz, Piotr Stomma, Anna Witkowska, et al.
Journal of Artificial Intelligence and Soft Computing Research (2023) Vol. 13, Iss. 3, pp. 197-210
Open Access | Times Cited: 10

Grid-Friendly Integration of Wind Energy: A Review of Power Forecasting and Frequency Control Techniques
Brian Loza, Luis I. Minchala, Danny Ochoa-Correa, et al.
Sustainability (2024) Vol. 16, Iss. 21, pp. 9535-9535
Open Access | Times Cited: 3

Applied Machine Learning to Study the Movement of Air Masses in the Wind Farm Area
Vladislav N. Kovalnogov, Ruslan V. Fedorov, Andrei V. Chukalin, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 3961-3961
Open Access | Times Cited: 2

Enhancing Long-Term Wind Power Forecasting by Using an Intelligent Statistical Treatment for Wind Resource Data
Mónica Borunda, Adrián Ramírez, Raul Garduño, et al.
Energies (2023) Vol. 16, Iss. 23, pp. 7915-7915
Open Access | Times Cited: 4

Selecting the Best Permanent Magnet Synchronous Machine Design for Use in a Small Wind Turbine
M. Lefik, Anna Firych‐Nowacka, Michał Lipian, et al.
Electronics (2024) Vol. 13, Iss. 10, pp. 1929-1929
Open Access | Times Cited: 1

A Multi-Type Dynamic Response Control Strategy for Energy Consumption
Lantao Jing, Enyu Wei, Liang Wang, et al.
Energies (2024) Vol. 17, Iss. 13, pp. 3092-3092
Open Access

The Impact of the Weather Forecast Model on Improving AI-Based Power Generation Predictions through BiLSTM Networks
Mindaugas Jankauskas, Artūras Serackis, Nerijus Paulauskas, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3472-3472
Open Access

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