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 Spatiotemporal Directed Graph Convolution Network for Ultra-Short-Term Wind Power Prediction
Zhuo Li, Lin Ye, Yongning Zhao, et al.
IEEE Transactions on Sustainable Energy (2022) Vol. 14, Iss. 1, pp. 39-54
Closed Access | Times Cited: 39

Showing 26-50 of 39 citing articles:

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 Spatiotemporal Coupling Calculation-Based Short-Term Wind Farm Cluster Power Prediction Method
Haochen Li, Liqun Liu, Qiusheng He
IEEE Access (2023) Vol. 11, pp. 131418-131434
Open Access | Times Cited: 3

Short-Term Wind Power Prediction Based on a Variational Mode Decomposition–BiTCN–Psformer Hybrid Model
Wu Xu, Wenjing Dai, Dongyang Li, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4089-4089
Open Access

A Review on the Temporal-Spatial Correlation Based Multiple Horizon Wind Power Forecasting Methods
Juan Yan, Haiping Wu, Zibo Huang, et al.
Lecture notes in electrical engineering (2024), pp. 171-186
Closed Access

Short-term wind speed forecast based on dynamic spatio-temporal directed graph attention network
Yizhuo Cai, Yanting Li
Applied Energy (2024) Vol. 375, pp. 124124-124124
Closed Access

A short-term wind power prediction method via self-adaptive adjacency matrix and spatiotemporal graph neural networks
Yang Xie, Jianyong Zheng, Gareth Taylor, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109715-109715
Closed Access

Graph convolutional networks-based method for uncertainty quantification of building design loads
Jie Lu, Zeyu Zheng, Chaobo Zhang, et al.
Building Simulation (2024)
Closed Access

Leveraging Spatio-Temporal Locality in Linear Model Trees for Multi-Step Time Series Forecasting
Annunziata D’Aversa, Gianvito Pio, Michelangelo Ceci
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 1282-1287
Closed Access

Research on Ultra-Short-Term Photovoltaic Power Forecasting Method Considering Complex Meteorological Factors
Gean Cui, Xudong Li, Siyuan Wang, et al.
(2024), pp. 280-284
Closed Access

Short-term Wind Power Prediction Based on HDBSCAN with Outlier Factor Method and CNN-BiLSTM
Zhaolong Tang, Xiaosheng Peng, Taoyu Lu, et al.
2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) (2023), pp. 2347-2352
Closed Access

Anomalous Update Identification Based on Cosine Similarity for Collaborative Wind Power Forecasting
Shiji Pan, Yongning Zhao, Yao Ru, et al.
2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) (2023), pp. 1666-1671
Closed Access

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