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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:

Wind power ultra-short-term prediction method based on NWP wind speed correction and double clustering division of transitional weather process
Mao Yang, Yunfeng Guo, Y. Huang
Energy (2023) Vol. 282, pp. 128947-128947
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Enhancing short-term wind speed prediction based on an outlier-robust ensemble deep random vector functional link network with AOA-optimized VMD
Chu Zhang, Zhengbo Li, Yida Ge, et al.
Energy (2024) Vol. 296, pp. 131173-131173
Closed Access | Times Cited: 20
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
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 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: 13
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: 9
Short-term integrated forecasting method for wind power, solar power, and system load based on variable attention mechanism and multi-task learning
Han Wang, Jie Yan, Jiawei Zhang, et al.
Energy (2024) Vol. 304, pp. 132188-132188
Closed Access | Times Cited: 7
Power prediction considering NWP wind speed error tolerability: A strategy to improve the accuracy of short-term wind power prediction under wind speed offset scenarios
Mao Yang, Yunfeng Guo, Tao Huang, et al.
Applied Energy (2024) Vol. 377, pp. 124720-124720
Closed Access | Times Cited: 6
Short-term wind power prediction framework using numerical weather predictions and residual convolutional long short-term memory attention network
Chenlei Xie, Xuelei Yang, Tao Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108543-108543
Closed Access | Times Cited: 5
Optimal site selection for wind-solar‑hydrogen storage power plants based on geographic information system and multi-criteria decision-making model: A case study from China
Hui Zhao, Wei Wang
Journal of Energy Storage (2025) Vol. 112, pp. 115470-115470
Closed Access
A Review of Distributed Energy Systems: Technologies, Classification, and Applications
Qun Cheng, Zhengping Zhang, Yanwei Wang, et al.
Sustainability (2025) Vol. 17, Iss. 4, pp. 1346-1346
Open Access
Ultra-short-term Wind power prediction algorithm based on bidirectional neural controlled differential equations
Chu Li, Bingjia Xiao, Qiping Yuan
Electric Power Systems Research (2025) Vol. 243, pp. 111479-111479
Closed Access
Short-Term Prediction of Photovoltaic Cluster Power Considering Photovoltaic Power Classification and Improving MSE Loss
Mao Yang, Yue Jiang, Bo Wang, et al.
Lecture notes in electrical engineering (2025), pp. 331-344
Closed Access
Forecasting of Tropical Storm Wind Speeds Based on Multi-Step Differencing and Artificial Neural Network
Tianyou Tao, Peng Deng, Fan Xu, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 2, pp. 372-372
Open Access
A multi-factor clustering integration paradigm for wind speed point-interval prediction based on feature selection and optimized inverted transformer
Jujie Wang, Weiyi Jiang, Shuqin Shu, et al.
Energy (2025), pp. 135210-135210
Closed Access
LSTM Model Combined with Rolling Empirical Mode Decomposition and Sample Entropy Reconstruction for Short-Term Wind Speed Forecasting
Sen Yao, Hong Zhu, Xin Zhou, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 819-819
Open Access
Short-term wind farm cluster power prediction based on dual feature extraction and quadratic decomposition aggregation
Zhijian Qu, Xinxing Hou, Jian Li, et al.
Energy (2023) Vol. 290, pp. 130155-130155
Closed Access | Times Cited: 13
Point and interval wind speed forecasting of multivariate time series based on dual-layer LSTM
Haipeng Zhang, Jianzhou Wang, Yuansheng Qian, et al.
Energy (2024) Vol. 294, pp. 130875-130875
Closed Access | Times Cited: 4
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: 4
InfoCAVB-MemoryFormer: Forecasting of wind and photovoltaic power through the interaction of data reconstruction and data augmentation
Mingwei Zhong, J.M. Fan, Jianqiang Luo, et al.
Applied Energy (2024) Vol. 371, pp. 123745-123745
Closed Access | Times Cited: 4
Multi-Step Short-Term Wind Power Prediction Model Based on CEEMD and Improved Snake Optimization Algorithm
Mengling Zhao, Xuan Zhou
IEEE Access (2024) Vol. 12, pp. 50755-50778
Open Access | Times Cited: 3
A new multi-objective ensemble wind speed forecasting system: Mixed-frequency interval-valued modeling paradigm
Wendong Yang, Xinyi Zang, C.L. Wu, et al.
Energy (2024) Vol. 304, pp. 131963-131963
Closed Access | Times Cited: 3
A day-ahead wind speed correction method: Enhancing wind speed forecasting accuracy using a strategy combining dynamic feature weighting with multi-source information and dynamic matching with improved similarity function
Mao Yang, Yunfeng Guo, Bo Wang, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125724-125724
Closed Access | Times Cited: 3
Research on a Deep Ensemble Learning Model for the Ultra-Short-Term Probabilistic Prediction of Wind Power
Yan Zhou, Fuzhen Wei, Kaiyang Kuang, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 475-475
Open Access | Times Cited: 2
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
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