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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:

Dynamic multi-turbines spatiotemporal correlation model enabled digital twin technology for real-time wind speed prediction
Yang Li, Xiaojun Shen, Chongcheng Zhou
Renewable Energy (2022) Vol. 203, pp. 841-853
Closed Access | Times Cited: 14

Showing 14 citing articles:

Innovative Horizons for Sustainable Smart Energy: Exploring the Synergy of 5G and Digital Twin Technologies
Mirjana Maksimović, Srđan Jokić, Marko Bošković
Process Integration and Optimization for Sustainability (2025)
Closed Access
Mum Çubuğu Grafik Gösterimi, Minimum Artıklık Maksimum İlgililik Algoritması ve XGBoost Modeline Dayalı Rüzgâr Hızı Tahmini
Seçkin Karasu
DÜMF Mühendislik Dergisi (2025) Vol. 16, Iss. 1, pp. 13-25
Open Access
Enhanced GAIN-Based Missing Data Imputation for a Wind Energy Farm SCADA System
Liulin Yang, Zhenning Huang, Xiujin Mo, et al.
Electronics (2025) Vol. 14, Iss. 8, pp. 1590-1590
Open Access
Design and research of automated warehouse simulation platform based on virtual visualization framework
Huajun Di
PeerJ Computer Science (2024) Vol. 10, pp. e1809-e1809
Open Access | Times Cited: 3
A transferable diagnosis method with incipient fault detection for a digital twin of wind turbine
Weifei Hu, Qing Jiao, Hongwei Liu, et al.
Digital engineering. (2024) Vol. 1, pp. 100001-100001
Open Access | Times Cited: 3
Multi-Wind Turbine Wind Speed Prediction Based on Weighted Diffusion Graph Convolution and Gated Attention Network
Yakai Qiao, Hui Chen, Bo Fu
Energies (2024) Vol. 17, Iss. 7, pp. 1658-1658
Open Access | Times Cited: 2
A Survey on Extended Reality, Digital Twins, and Metaverse Applications in Power Systems
Carolina Ramos Menezes, Bruno W. França, Yona Lopes
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 21, pp. 34953-34977
Closed Access | Times Cited: 2
Load response of a two‐rotor floating wind turbine undergoing blade‐pitch system faults
Omar El Beshbichi, Yihan Xing, Muk Chen Ong
Wind Energy (2023) Vol. 26, Iss. 9, pp. 946-967
Open Access | Times Cited: 2
An Operational Situations Characterization Methodology for Wind Speed Sensors of Wind Farms Against Natural Weather Events
Yang Li, Xiaojun Shen
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 7, pp. 9244-9254
Closed Access
Balance Reliability and Economy:Hybrid Electric-Hydrogen Energy Storage Capacity Configuration for Photovoltaic Power Plants in Desert Areas
Xiaojun Shen, Letao Chen
(2024)
Closed Access
Research on the Impact of Smart City Construction on the Development of Green Economy
Hongshuang Wu
International Business & Economics Studies (2024) Vol. 6, Iss. 3, pp. p58-p58
Open Access
Ensemble Framework for Multistep Carbon Emission Prediction: An Improved Bi-LSTM Model Based on the Bayesian Optimization Algorithm and Two-Stage Decomposition
Qi Song, Yulong Bai, Rui Wang, et al.
Research Square (Research Square) (2024)
Open Access
Classification and Maturity of Digital Twins for Buildings and Energy Systems: A Systematic Literature Review
Tancredi Testasecca, Marco Ferraro, Diego Arnone, et al.
(2024)
Closed Access
Digital twin technology fundamentals
Chakkrapong Chaiburi, Bancha Yingngam
Elsevier eBooks (2024), pp. 1-35
Closed Access
Decomposition based deep projection-encoding echo state network for multi-scale and multi-step wind speed prediction
Tao Li, Zhijun Guo, Qian Li
Expert Systems with Applications (2024), pp. 126074-126074
Closed Access
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