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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 Power Forecasting Based on VMD and a Hybrid SSA-TCN-BiGRU Network
Yujie Zhang, Lei Zhang, Duo Sun, et al.
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9888-9888
Open Access | Times Cited: 20

Showing 20 citing articles:

A short-term wind power prediction approach based on an improved dung beetle optimizer algorithm, variational modal decomposition, and deep learning
Yan He, Wei Wang, Meng Li, et al.
Computers & Electrical Engineering (2024) Vol. 116, pp. 109182-109182
Closed Access | Times Cited: 11
A novel BiGRU multi-step wind power forecasting approach based on multi-label integration random forest feature selection and neural network clustering
Zheyong Jiang, Qingmei Tan, Nan Li, et al.
Energy Conversion and Management (2024) Vol. 319, pp. 118904-118904
Closed Access | Times Cited: 5
A novel ultra-short-term wind power forecasting method based on TCN and Informer models
Qi Li, Xiaoying Ren, Fei Zhang, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109632-109632
Closed Access | Times Cited: 5
A Wind and Solar Power Prediction Method Based on Temporal Convolutional Network–Attention–Long Short-Term Memory Transfer Learning and Sensitive Meteorological Features
Yuan Wang, Yue Bi, Guo Yu, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1636-1636
Open Access
A hybrid ultra-short-term wind speed prediction model using adaptive VMD and Time-Series Mixer
Xiaoxia Wang, Pu Liu, Qingyi Liu, et al.
International Journal of Green Energy (2025), pp. 1-19
Closed Access
Distributed generator configuration calibration method based on TCN-BiGRU-Attention algorithm
Yidong Zhu, Shihong Chen, Zuoxia Xing, et al.
Electric Power Systems Research (2024) Vol. 230, pp. 110248-110248
Closed Access | Times Cited: 3
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 Multiscale Hybrid Wind Power Prediction Model Based on Least Squares Support Vector Regression–Regularized Extreme Learning Machine–Multi-Head Attention–Bidirectional Gated Recurrent Unit and Data Decomposition
Yuan Sun, Shiyang Zhang
Energies (2024) Vol. 17, Iss. 12, pp. 2923-2923
Open Access | Times Cited: 3
Using enhanced Variational Modal Decomposition and Dung Beetle Optimization Algorithm optimization-kernel Extreme Learning Machine model to forecast short-term wind power
Guodong You, Z. Chang, Xing-Yun Li, et al.
Electric Power Systems Research (2024) Vol. 236, pp. 110904-110904
Closed Access | Times Cited: 3
Wind-Speed Multi-Step Forecasting Based on Variational Mode Decomposition, Temporal Convolutional Network, and Transformer Model
Shengcai Zhang, Changsheng Zhu, Xiuting Guo
Energies (2024) Vol. 17, Iss. 9, pp. 1996-1996
Open Access | Times Cited: 1
Data denoising and deep learning prediction for the wind speed based on NOA optimization
Xinyi Xu, Shaojuan Ma, Cheng Huang
Research Square (Research Square) (2024)
Closed Access | Times Cited: 1
Multi-scenario renewable energy absorption capacity assessment method based on the attention-enhanced time convolutional network
Yang Wu, Han Zhou, Congtong Zhang, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Short-term Wind Power Forecasts based on VMD-KPCA and CFSBOA-BiLSTM
Rui Wang, Yingying Dong, Jing Lu
Deleted Journal (2024) Vol. 2, Iss. 1, pp. 39-55
Open Access
A Multi-scale Hybrid Wind Power Prediction Model Based on LSSVR-RELM-Multi-Head Attention-BiGRU and Data Decomposition
Yuan Sun, Shiyang Zhang
(2024)
Open Access
An Integrated Modeling Strategy for Wind Power Forecasting Based on Dynamic Meteorological Visualization
J. Zhang, Hua Fu
IEEE Access (2024) Vol. 12, pp. 69423-69433
Open Access
Short-term wind power prediction based on ICEEMDAN decomposition and BiTCN–BiGRU-multi-head self-attention model
Xu Zhang, Jun Ye, Lintao Gao, et al.
Electrical Engineering (2024)
Closed Access
Ultra-Short-Term Wind Power Forecasting Based on VMD-GRU-Transformer
Liu Wei, Xinfu Liu
Journal of Research in Science and Engineering (2024) Vol. 6, Iss. 8, pp. 16-20
Open Access
CDO-TCN-BiGRU: An Optimized Hybrid Deep Learning Model for Shared Bicycles Demand Forecasting
Changxi Ma, Xiaoyu Huang, Yongpeng Zhao, et al.
SAE International Journal of Connected and Automated Vehicles (2024) Vol. 8, Iss. 3
Closed Access
A Secure IIoT Environment That Integrates AI-Driven Real-Time Short-Term Active and Reactive Load Forecasting with Anomaly Detection: A Real-World Application
Md. Ibne Joha, Md Minhazur Rahman, Md Shahriar Nazim, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7440-7440
Open Access
Research on PID Parameter Tuning of Micro Pure Electric Vehicles Driven by Wheel Side Motors and Improved Sparrow Algorithm by Combining Multiple Strategies
Xiaoyu Zhang, Ping Xiao, Junjie Hu
(2024), pp. 199-205
Closed Access
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