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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:

M2STAN: Multi-modal multi-task spatiotemporal attention network for multi-location ultra-short-term wind power multi-step predictions
Lei Wang, Yigang He
Applied Energy (2022) Vol. 324, pp. 119672-119672
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: 87
A spatio-temporal forecasting model using optimally weighted graph convolutional network and gated recurrent unit for wind speed of different sites distributed in an offshore wind farm
Xuefang Xu, Shiting Hu, Huaishuang Shao, et al.
Energy (2023) Vol. 284, pp. 128565-128565
Closed Access | Times Cited: 50
Ultra-short-term wind farm cluster power prediction based on FC-GCN and trend-aware switching mechanism
Mao Yang, Y. Huang, Yunfeng Guo, et al.
Energy (2024) Vol. 290, pp. 130238-130238
Closed Access | Times Cited: 17
A short-term power prediction method based on numerical weather prediction correction and the fusion of adaptive spatiotemporal graph feature information for wind farm cluster
Mao Yang, Chao Han, Wei Zhang, et al.
Expert Systems with Applications (2025) Vol. 274, pp. 126979-126979
Closed Access | Times Cited: 2
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Chia‐Sheng Tu, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10757-10757
Open Access | Times Cited: 26
Short-Term Power Forecasting of Wind Farm Cluster Based on Global Information Adaptive Perceptual Graph Convolution Network
Mao Yang, Chaoyi Ju, Y. Huang, et al.
IEEE Transactions on Sustainable Energy (2024) Vol. 15, Iss. 3, pp. 2063-2076
Closed Access | Times Cited: 12
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: 9
Ultra-short-term wind power forecasting based on personalized robust federated learning with spatial collaboration
Yongning Zhao, Shiji Pan, Yuan Zhao, et al.
Energy (2023) Vol. 288, pp. 129847-129847
Closed Access | Times Cited: 21
Energy optimization of wind turbines via a neural control policy based on reinforcement learning Markov chain Monte Carlo algorithm
Vahid Tavakol Aghaei, Arda Ağababaoğlu, Biram Bawo, et al.
Applied Energy (2023) Vol. 341, pp. 121108-121108
Open Access | Times Cited: 18
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: 8
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: 7
Interpretable multi-graph convolution network integrating spatial-temporal attention and dynamic combination for wind power forecasting
Yongning Zhao, Haohan Liao, Shiji Pan, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124766-124766
Closed Access | Times Cited: 7
Assessment of the spatiotemporal prediction capabilities of machine learning algorithms on Sea Surface Temperature data: A comprehensive study
Serkan Kartal
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105675-105675
Open Access | Times Cited: 27
Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources
Adam Krechowicz, Maria Krechowicz, Katarzyna Poczęta
Energies (2022) Vol. 15, Iss. 23, pp. 9146-9146
Open Access | Times Cited: 26
A chaotic local search-based LSHADE with enhanced memory storage mechanism for wind farm layout optimization
Yang Yu, Tengfei Zhang, Zhenyu Lei, et al.
Applied Soft Computing (2023) Vol. 141, pp. 110306-110306
Closed Access | Times Cited: 16
Building cooling load forecasting of IES considering spatiotemporal coupling based on hybrid deep learning model
Min Yu, Dongxiao Niu, Jinqiu Zhao, et al.
Applied Energy (2023) Vol. 349, pp. 121547-121547
Closed Access | Times Cited: 16
Ultra-short-term wind power interval prediction based on multi-task learning and generative critic networks
Jinhao Shi, Bo Wang, Kaiyi Luo, et al.
Energy (2023) Vol. 272, pp. 127116-127116
Closed Access | Times Cited: 15
Series-wise attention network for wind power forecasting considering temporal lag of numerical weather prediction
Chenyu Liu, Xuemin Zhang, Shengwei Mei, et al.
Applied Energy (2023) Vol. 336, pp. 120815-120815
Closed Access | Times Cited: 12
Self-supervised dynamic stochastic graph network for spatio-temporal wind speed forecasting
Tangjie Wu, Qiang Ling
Energy (2024) Vol. 304, pp. 132056-132056
Closed Access | Times Cited: 4
Deep learning for spatiotemporal forecasting in Earth system science: a review
Manzhu Yu, Qunying Huang, Zhenlong Li
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4
Short-term offshore wind power multi-location multi-modal multi-step prediction model based on Informer(M3STIN)
Zhongrui Wang, Chunbo Wang, Liang Chen, et al.
Energy (2025), pp. 135616-135616
Closed Access
GNN-enhanced temporal patch segmentation and frequency fusion model for robust solar energy production forecasting
Sarvarbek Erniyazov, Chang Gyoon Lim
Energy Reports (2025) Vol. 13, pp. 4962-4984
Closed Access
Unlocking the potential: A review of artificial intelligence applications in wind energy
Safa Dörterler, Seyfullah Arslan, Durmuş Özdemir
Expert Systems (2024) Vol. 41, Iss. 12
Open Access | Times Cited: 3
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
Day-ahead wind farm cluster power prediction based on trend categorization and spatial information integration model
Mao Yang, Yang Jiang, Chuanyu Xu, et al.
Applied Energy (2025) Vol. 388, pp. 125580-125580
Closed Access
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