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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:

A short-term power prediction method for wind farm cluster based on the fusion of multi-source spatiotemporal feature information
Mao Yang, Chao Han, Wei Zhang, et al.
Energy (2024) Vol. 294, pp. 130770-130770
Closed Access | Times Cited: 15

Showing 15 citing articles:

Two-stage Day-ahead Multi-step Prediction of Wind Power Considering Time-series Information Interaction
Mao Yang, Xiangyu Li, Fulin Fan, et al.
Energy (2024) Vol. 312, pp. 133580-133580
Closed Access | Times Cited: 14
Ultra-short-term wind power forecasting jointly driven by anomaly detection, clustering and graph convolutional recurrent neural networks
Jianzhou Wang, Menggang Kou, Runze Li, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103137-103137
Closed Access | Times Cited: 1
Wind power prediction through acoustic data-driven online modeling and active wake control
Bingchuan Sun, Mingxu Su, Jié He
Energy Conversion and Management (2024) Vol. 319, pp. 118920-118920
Closed Access | Times Cited: 5
WaveTransTimesNet: an enhanced deep learning monthly runoff prediction model based on wavelet transform and transformer architecture
Dongmei Xu, Zong Li, Wenchuan Wang, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Cooperative evaluation of multiple wind farms based on information in neighboring wind farms and improved TCN
Long Cheng, Li Xu, Lihua Li, et al.
Wind Engineering (2025)
Closed Access
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
Ultra-short-term wind farm cluster interval power prediction based on cluster division and MQ-WaveNet-MSA
Chao Wang, Lin Hon, Ming Yang, et al.
Electric Power Systems Research (2025) Vol. 244, pp. 111557-111557
Closed Access
Citywide electric vehicle charging demand prediction approach considering urban region and dynamic influences
H. H. Kuang, Kunxiang Deng, Linlin You, et al.
Energy (2025), pp. 135170-135170
Closed Access
A short-term power prediction method based on the transformation of multi-source spatiotemporal feature for photovoltaic cluster
Chaohong Zhou, Fan Zhang, Shenhui Gu, et al.
International Journal of Green Energy (2025), pp. 1-17
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
Prediction of Ultra-Short-Term Photovoltaic Power Using BiLSTM–Informer Based on Secondary Decomposition
Ruoqi Zhang, Zishuo Xu, Shuangquan Liu, et al.
Energies (2025) Vol. 18, Iss. 6, pp. 1485-1485
Open Access
Two-stage correction prediction of wind power based on numerical weather prediction wind speed superposition correction and improved clustering
Mao Yang, Yunfeng Guo, Fulin Fan, et al.
Energy (2024) Vol. 302, pp. 131797-131797
Closed Access | Times Cited: 2
Ultra-Short-Term Prediction of Wind Farm Cluster Power Based on Embedded Graph Structure Learning With Spatiotemporal Information Gain
Mao Yang, Yunfeng Guo, Fulin Fan
IEEE Transactions on Sustainable Energy (2024) Vol. 16, Iss. 1, pp. 308-322
Closed Access | Times Cited: 2
A Non-stationary Transformer model for power forecasting with dynamic data distillation and wake effect correction suitable for large wind farms
Guopeng Zhu, Weiqing Jia, Lifeng Cheng, et al.
Energy Conversion and Management (2024) Vol. 324, pp. 119292-119292
Closed Access | Times Cited: 1
Non-stationary GNNCrossformer: Transformer with graph information for non-stationary multivariate Spatio-Temporal wind power data forecasting
Xinning Wu, Haolin Zhan, Jianming Hu, et al.
Applied Energy (2024) Vol. 377, pp. 124492-124492
Closed Access
Wind Farm Cluster Power Prediction Based on Graph Deviation Attention Network with Learnable Graph Structure and Dynamic Error Correction During Load Peak and Valley Periods
Mao Yang, Yunfeng Guo, Tao Huang, et al.
Energy (2024), pp. 133645-133645
Closed Access
An Integrated CEEMDAN to Optimize Deep Long Short-Term Memory Model for Wind Speed Forecasting
Yingying He, Likai Zhang, Tengda Guan, et al.
Energies (2024) Vol. 17, Iss. 18, pp. 4615-4615
Open Access
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