Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 novel hybrid model based on Empirical Mode Decomposition and Echo State Network for wind power forecasting
Uğur Yüzgeç, Emrah Dokur, MEHMET EMİN BALCI
Energy (2024) Vol. 300, pp. 131546-131546
Closed Access | Times Cited: 17

Showing 17 citing articles:

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 dual decomposition integration and error correction model for carbon price prediction
Yanan Li, Xinsheng Zhang, Minghu Wang
Journal of Environmental Management (2025) Vol. 374, pp. 124035-124035
Closed Access
An attention mechanism augmented CNN-GRU method integrating optimized variational mode decomposition and frequency feature classification for complex signal forecasting
Congxin Wei, Zheng Quan, Zhifeng Qian, et al.
Expert Systems with Applications (2025), pp. 126464-126464
Closed Access
A multi-stage multivariable offshore wind speed assessment system incorporating statistical analysis, decomposition, feature selection, bias correction, and attention-based hybrid prediction
Jingjing Cai, Cheng Peng, Li Xu, et al.
Wind Engineering (2025)
Closed Access
A hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition
Hanying Guo, Siying Chen, Yongjiang Zhou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open 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
A hybrid model based on CapSA-VMD-ResNet-GRU-attention mechanism for ultra-short-term and short-term wind speed prediction
Donghan Geng, Yongkang Zhang, Yunlong Zhang, et al.
Renewable Energy (2024), pp. 122191-122191
Closed Access | Times Cited: 2
Sustainability evaluation of green building construction based on a combination method of weighting and improved matter-element extension
Yuanlu Qiao, Jingpeng Wang, Youguo Wang
AIMS Mathematics (2024) Vol. 9, Iss. 9, pp. 24418-24442
Open Access | Times Cited: 1
Implementing ultra-short-term wind power forecasting without information leakage through cascade decomposition and attention mechanism
Jianguo Wang, Weiru Yuan, Shude Zhang, et al.
Energy (2024), pp. 133513-133513
Closed Access | Times Cited: 1
Real-time Error Compensation Transfer Learning with Echo State Networks for Enhanced Wind Power Prediction
Yingqin Zhu, Yue Liu, Nan Wang, et al.
Applied Energy (2024) Vol. 379, pp. 124893-124893
Open Access | Times Cited: 1
Developing an interpretable wind power forecasting system using a transformer network and transfer learning
Chaonan Tian, Tong Niu, Tao Li
Energy Conversion and Management (2024) Vol. 323, pp. 119155-119155
Closed Access | Times Cited: 1
An Exploration of Tourism Marketing Strategies of “Ethnicity + Folklore + Folk Lodging” in Guizhou Province Based on Echo State Network Modeling
Ting Kang, N. D. Lan
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open 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
Probability density function based adaptive ensemble learning with global convergence for wind power prediction
Jianfang Li, Jia Li, Chengyu Zhou
Energy (2024) Vol. 312, pp. 133573-133573
Closed Access
Decomposition based deep projection-encoding echo state network for multi-scale and multi-step wind speed prediction
Tao Li, Zhijun Guo, Qian Li
Expert Systems with Applications (2024), pp. 126074-126074
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
A Transferable Federated Learning Approach for Wind Power Prediction Based on Active Privacy Clustering and Knowledge Merge
Feiyun Cong, Rong Wu, Wei Zhong, et al.
Energy (2024), pp. 134044-134044
Closed Access
Page 1

Scroll to top