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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 forecasting: A hybrid forecasting model and multi-task learning-based framework
Yugui Tang, Kuo Yang, Shujing Zhang, et al.
Energy (2023) Vol. 278, pp. 127864-127864
Closed Access | Times Cited: 24

Showing 24 citing articles:

Optimizing multi-step wind power forecasting: Integrating advanced deep neural networks with stacking-based probabilistic learning
Lucas de Azevedo Takara, Ana Clara Teixeira, Hamed Yazdanpanah, et al.
Applied Energy (2024) Vol. 369, pp. 123487-123487
Closed Access | Times Cited: 18
Short-term wind power forecasting based on multivariate/multi-step LSTM with temporal feature attention mechanism
Xin Liu, Jun Zhou
Applied Soft Computing (2023) Vol. 150, pp. 111050-111050
Closed Access | Times Cited: 38
A deep learning approach using attention mechanism and transfer learning for electromyographic hand gesture estimation
Yanyu Wang, Pengfei Zhao, Zhen Zhang
Expert Systems with Applications (2023) Vol. 234, pp. 121055-121055
Closed Access | Times Cited: 22
Electromyographic hand gesture recognition using convolutional neural network with multi-attention
Zhen Zhang, Quming Shen, Yanyu Wang
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105935-105935
Closed Access | Times Cited: 13
Ultra-Short-Term Offshore Wind Power Prediction Based on PCA-SSA-VMD and BiLSTM
Zhen Wang, Y. Ying, Lei Kou, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 444-444
Open Access | Times Cited: 9
A temporal convolution and gated recurrent unit network with attention for state of charge estimation of lithium-ion batteries
Kuo Yang, Yanyu Wang, Yugui Tang, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108774-108774
Closed Access | Times Cited: 17
A deep learning approach incorporating attention mechanism and transfer learning for lithium-ion battery lifespan prediction
Wanjie Zhao, Wei Ding, Shujing Zhang, et al.
Journal of Energy Storage (2023) Vol. 75, pp. 109647-109647
Closed Access | Times Cited: 14
A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting
Yugui Tang, Shujing Zhang, Zhen Zhang
Energy (2023) Vol. 286, pp. 129639-129639
Closed Access | Times Cited: 13
A federated transfer learning approach for surface electromyographic hand gesture recognition with emphasis on privacy preservation
Zhen Zhang, Yuewei Ming, Yanyu Wang
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108952-108952
Closed Access | Times Cited: 4
Online cross session electromyographic hand gesture recognition using deep learning and transfer learning
Zhen Zhang, Shilong Liu, Yanyu Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107251-107251
Closed Access | Times Cited: 12
Wind power forecasting: A temporal domain generalization approach incorporating hybrid model and adversarial relationship-based training
Yugui Tang, Kuo Yang, Shujing Zhang, et al.
Applied Energy (2023) Vol. 355, pp. 122266-122266
Closed Access | Times Cited: 9
A new short-term wind power prediction methodology based on linear and nonlinear hybrid models
Xixuan Zhao, Bingzhen Sun, Ning Wu, et al.
Computers & Industrial Engineering (2024) Vol. 196, pp. 110477-110477
Closed Access | Times Cited: 3
Dual-branch deep learning architecture for enhanced hourly global horizontal irradiance forecasting
Zhijie Wang, Yugui Tang, Zhen Zhang
Expert Systems with Applications (2024) Vol. 252, pp. 124115-124115
Closed Access | Times Cited: 2
Proactive failure warning for wind power forecast models based on volatility indicators analysis
Yunxiao Chen, Chaojing Lin, Yilan Zhang, et al.
Energy (2024) Vol. 305, pp. 132310-132310
Closed Access | Times Cited: 2
Time-Series Forecasting of Large-Scale Green Ammonia Production: An Intelligent Dynamic Modeling Case in the Inner Mongolia Area of China
Wei Zhang, Xiayang Li, Huan Zhang, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 28, pp. 12526-12546
Closed Access | Times Cited: 1
A federated transfer learning approach for lithium-ion battery lifespan early prediction considering privacy preservation
Zhen Zhang, Yanyu Wang, X. D. Ruan, et al.
Journal of Energy Storage (2024) Vol. 102, pp. 114153-114153
Closed Access | Times Cited: 1
Interpreting LASSO regression model by feature space matching analysis for spatio-temporal correlation based wind power forecasting
Yongning Zhao, Yuan Zhao, Haohan Liao, et al.
Applied Energy (2024) Vol. 380, pp. 124954-124954
Closed Access | Times Cited: 1
EOLO, a wind energy forecaster based on public information and automatic learning for the Spanish Electricity Markets
Diego Prieto-Herráez, Saray Martínez-Lastras, Laura Frías-Paredes, et al.
Measurement (2024) Vol. 231, pp. 114557-114557
Closed Access
Short-Term Wind Power Prediction Combining a Data Cleaning Method Using a Fusion Model and a Novel Multi-Task Learning Framework
Wentao Ma, Jiahui Dai, Lihong Qiu, et al.
(2024)
Closed Access
Short-Term Wind Power Prediction Combining a Data Cleaning Method Using a Fusion Model and a Novel Multi-Task Learning Framwork
Wentao Ma, Jiahui Dai, Lihong Qiu, et al.
(2024)
Closed Access
Lithium-ion batteries lifetime early prediction using domain adversarial learning
Zhen Zhang, Yanyu Wang, X. D. Ruan, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 208, pp. 115035-115035
Closed Access
Research progress and prospects of machine learning applications in renewable energy: a comprehensive bibliometric-based review
Xuping Wang, Yong Shen, Chang Su
International Journal of Environmental Science and Technology (2024)
Closed Access
Short-term power prediction method of wind farm cluster based on deep spatiotemporal correlation mining
Da Wang, Mao Yang, Wei Zhang, et al.
Applied Energy (2024) Vol. 380, pp. 125102-125102
Closed Access
Alleviating distribution shift and mining hidden temporal variations for ultra-short-term wind power forecasting
Haochong Wei, Yan Chen, Miaolin Yu, et al.
Energy (2023) Vol. 290, pp. 130077-130077
Closed Access | Times Cited: 1
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