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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:

Augmented Convolutional Network for Wind Power Prediction: A New Recurrent Architecture Design With Spatial-Temporal Image Inputs
Lilin Cheng, Haixiang Zang, Yan Xu, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 17, Iss. 10, pp. 6981-6993
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Short-term multi-step wind power forecasting based on spatio-temporal correlations and transformer neural networks
Shilin Sun, Yuekai Liu, Qi Li, et al.
Energy Conversion and Management (2023) Vol. 283, pp. 116916-116916
Closed Access | Times Cited: 99
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: 22
A wavelet-LSTM model for short-term wind power forecasting using wind farm SCADA data
Zhaohua Liu, Chang-Tong Wang, Hua‐Liang Wei, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123237-123237
Closed Access | Times Cited: 18
A Transactive Energy Framework for Inverter-Based HVAC Loads in a Real-Time Local Electricity Market Considering Distributed Energy Resources
Hongxun Hui, Pierluigi Siano, Yi Ding, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 12, pp. 8409-8421
Closed Access | Times Cited: 52
A short-term wind power prediction method based on dynamic and static feature fusion mining
Mao Yang, Da Wang, Wei Zhang
Energy (2023) Vol. 280, pp. 128226-128226
Closed Access | Times Cited: 28
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 GCN-based adaptive generative adversarial network model for short-term wind speed scenario prediction
Xin Liu, Jingjia Yu, Lin Gong, et al.
Energy (2024) Vol. 294, pp. 130931-130931
Closed Access | Times Cited: 8
An online transfer learning model for wind turbine power prediction based on spatial feature construction and system-wide update
Ling Liu, Jujie Wang, Jianping Li, et al.
Applied Energy (2023) Vol. 340, pp. 121049-121049
Closed Access | Times Cited: 22
Interpretable Wind Power Short-Term Power Prediction Model Using Deep Graph Attention Network
Jinhua Zhang, Hui Li, Peng Cheng, et al.
Energies (2024) Vol. 17, Iss. 2, pp. 384-384
Open Access | Times Cited: 5
Spatiotemporal Generative Adversarial Imputation Networks: An Approach to Address Missing Data for Wind Turbines
Xuguang Hu, Zhaokang Zhan, Dazhong Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-8
Closed Access | Times Cited: 11
Probabilistic prediction of wind farm power generation using non-crossing quantile regression
Yu Huang, Xuxin Li, Dui Li, et al.
Control Engineering Practice (2025) Vol. 156, pp. 106226-106226
Closed Access
Generative probabilistic forecasting of wind power: A Denoising-Diffusion-based nonstationary signal modeling approach
Jingxuan Liu, Haixiang Zang, Lilin Cheng, et al.
Energy (2025), pp. 134576-134576
Closed Access
Deep Learning for Forecasting-Based Applications in Cyber–Physical Microgrids: Recent Advances and Future Directions
Mohammad Reza Habibi, Saeed Golestan, Josep M. Guerrero, et al.
Electronics (2023) Vol. 12, Iss. 7, pp. 1685-1685
Open Access | Times Cited: 9
A novel hybrid model based on multiple influencing factors and temporal convolutional network coupling ReOSELM for wind power prediction
Yida Ge, Chu Zhang, Yiwei Wang, et al.
Energy Conversion and Management (2024) Vol. 313, pp. 118632-118632
Closed Access | Times Cited: 3
Multistep Wind Power Prediction Using Time-Varying Filtered Empirical Modal Decomposition and Improved Adaptive Sparrow Search Algorithm-Optimized Phase Space Reconstruction–Echo State Network
Chao Tan, Wenrui Tan, Yanjun Shen, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 9107-9107
Open Access | Times Cited: 8
Prediction of wind power ramp events via a self-attention based deep learning approach
Jie Li, Fanxi Meng, Zichen Zhang, et al.
Energy Reports (2024) Vol. 12, pp. 1488-1502
Open Access | Times Cited: 2
Optimizing the evaluation model of green building management based on the concept of urban ecology and environment
Chengxi Lyu, Jiaxi Hu, Rui Zhang, et al.
Frontiers in Ecology and Evolution (2023) Vol. 10
Open Access | Times Cited: 6
Wind Power Prediction Interval Based on Predictive Density Estimation Within a New Hybrid Structure
Hamid Rezaie, C. Y. Chung, Benyamin Khorramdel
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 12, pp. 8563-8575
Closed Access | Times Cited: 10
A Hybrid Approach Based on Unequal Span Segmentation-Clustering for Short-Term Wind Power Forecasting
Gang Wang, Liang Jia, Qi Xiao
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 1, pp. 203-216
Closed Access | Times Cited: 5
End-Edge-Cloud Collaboration-Based False Data Injection Attack Detection in Distribution Networks
Houjun Li, Chunxia Dou, Dong Yue, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1786-1797
Closed Access | Times Cited: 4
Utilizing virtual power plants to support main grid for frequency regulation
Jinrui Guo, Chunxia Dou, Dong Yue, et al.
Electric Power Systems Research (2024) Vol. 229, pp. 110115-110115
Closed Access | Times Cited: 1
MTTLA‐DLW: Multi‐task TCN‐Bi‐LSTM transfer learning approach with dynamic loss weights based on feature correlations of the training samples for short‐term wind power prediction
Jifeng Song, Xiaosheng Peng, Jiajiong Song, et al.
Wind Energy (2024) Vol. 27, Iss. 7, pp. 733-744
Open Access | Times Cited: 1
Mapping Network-Coordinated Stacked Gated Recurrent Units for Turbulence Prediction
Zhiming Zhang, Shangce Gao, MengChu Zhou, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 6, pp. 1331-1341
Closed Access | Times Cited: 1
KAN-Transformer Model for UltraShort-Term Wind Power Prediction Based on EWMA Data Processing
Feng Xing, Yanlong Gao, Lipeng Kang, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9630-9630
Open Access | Times Cited: 1
Joint forecasting of regional wind and solar power based on attention neural network
Yongrui Zhang, Jie Yan, Shuang Han, et al.
2022 IEEE 5th International Electrical and Energy Conference (CIEEC) (2022), pp. 4165-4169
Closed Access | Times Cited: 6
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