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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 based on spatial-temporal graph transformer networks
Xiaoxin Pan, Long Wang, Zhongju Wang, et al.
Energy (2022) Vol. 253, pp. 124095-124095
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures
Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, et al.
Applied Energy (2022) Vol. 333, pp. 120565-120565
Open Access | Times Cited: 80
A novel EMD and causal convolutional network integrated with Transformer for ultra short-term wind power forecasting
Ning Li, Jie Dong, Lingyue Liu, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 154, pp. 109470-109470
Open Access | Times Cited: 69
An innovative interpretable combined learning model for wind speed forecasting
Pei Du, Dongchuan Yang, Yanzhao Li, et al.
Applied Energy (2024) Vol. 358, pp. 122553-122553
Closed Access | Times Cited: 19
Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables
Wenjun Jiang, Bo Liu, Yang Liang, et al.
Applied Energy (2023) Vol. 353, pp. 122155-122155
Closed Access | Times Cited: 36
Short-Term Wind Speed and Power Forecasting for Smart City Power Grid With a Hybrid Machine Learning Framework
Zhongju Wang, Long Wang, M. Revanesh, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 21, pp. 18754-18765
Closed Access | Times Cited: 28
Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Applied Soft Computing (2023) Vol. 148, pp. 110864-110864
Closed Access | Times Cited: 22
Interpretable wind speed forecasting with meteorological feature exploring and two-stage decomposition
Binrong Wu, Sihao Yu, Lu Peng, et al.
Energy (2024) Vol. 294, pp. 130782-130782
Closed Access | Times Cited: 14
Explainable machine learning techniques based on attention gate recurrent unit and local interpretable model‐agnostic explanations for multivariate wind speed forecasting
Lu Peng, Sheng‐Xiang Lv, Lin Wang
Journal of Forecasting (2024) Vol. 43, Iss. 6, pp. 2064-2087
Closed Access | Times Cited: 11
GAOformer: An adaptive spatiotemporal feature fusion transformer utilizing GAT and optimizable graph matrixes for offshore wind speed prediction
Shengmao Lin, Shu Wang, Xuefang Xu, et al.
Energy (2024) Vol. 292, pp. 130404-130404
Closed Access | Times Cited: 9
A novel frequency-domain physics-informed neural network for accurate prediction of 3D Spatio-temporal wind fields in wind turbine applications
Shaopeng Li, Xin Li, Yan Jiang, et al.
Applied Energy (2025) Vol. 386, pp. 125526-125526
Closed Access | Times Cited: 1
Short-term regional wind power forecasting based on spatial–temporal correlation and dynamic clustering model
Ming Pei, Lin Ye, Yilin Li, et al.
Energy Reports (2022) Vol. 8, pp. 10786-10802
Open Access | Times Cited: 30
Mixformer: Mixture transformer with hierarchical context for spatio-temporal wind speed forecasting
Tangjie Wu, Qiang Ling
Energy Conversion and Management (2023) Vol. 299, pp. 117896-117896
Closed Access | Times Cited: 20
Spatio-temporal interpretable neural network for solar irradiation prediction using transformer
Yuan Gao, Shohei Miyata, Yuki Matsunami, et al.
Energy and Buildings (2023) Vol. 297, pp. 113461-113461
Closed Access | Times Cited: 16
A novel dynamic spatio-temporal graph convolutional network for wind speed interval prediction
Zhengganzhe Chen, Bin Zhang, Chenglong Du, et al.
Energy (2024) Vol. 294, pp. 130930-130930
Closed Access | Times Cited: 7
An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model
Yunlong Lv, Qin Hu, Hang Xu, et al.
Energy (2024) Vol. 293, pp. 130751-130751
Closed Access | Times Cited: 6
BERT4ST:: Fine-tuning pre-trained large language model for wind power forecasting
Zefeng Lai, Tangjie Wu, Xihong Fei, et al.
Energy Conversion and Management (2024) Vol. 307, pp. 118331-118331
Closed Access | Times Cited: 6
Review of several key processes in wind power forecasting: Mathematical formulations, scientific problems, and logical relations
Mao Yang, Y. Huang, Chuanyu Xu, et al.
Applied Energy (2024) Vol. 377, pp. 124631-124631
Closed Access | Times Cited: 6
STELLM: Spatio-temporal enhanced pre-trained large language model for wind speed forecasting
Tangjie Wu, Qiang Ling
Applied Energy (2024) Vol. 375, pp. 124034-124034
Closed Access | Times Cited: 5
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: 5
CL-TGD: A novel point-wise contrastive learning with dynamic temporal granularity data incorporation for wind power prediction
Nanyang Zhu, Ning Jia, Wenjun Bi, et al.
Expert Systems with Applications (2025), pp. 126402-126402
Closed Access
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
Forecasting techniques for power systems with renewables
Paúl Arévalo, Darío Benavides, Danny Ochoa-Correa
Elsevier eBooks (2025), pp. 381-412
Closed Access
Improving active power regulation for wind turbine by phase leading cascaded error-based active disturbance rejection control and multi-objective optimization
Xuehan Li, Wei Wang, Fang Fang, et al.
Renewable Energy (2025) Vol. 243, pp. 122629-122629
Closed Access
Optimization of deterministic and probabilistic forecasting for wind power based on ensemble learning
Sen Wang, Yonghui Sun, Wenjie Zhang, et al.
Energy (2025), pp. 134884-134884
Closed Access
Spatio-temporal graph attention network and graph-based Transformer architecture for distributed urban wind sequence reconstruction and forecasting
Jiahao Lu, Zhengwei Chen
Measurement (2025), pp. 117400-117400
Closed Access
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