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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:

Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
Yinsong Chen, Samson S. Yu, Shama Naz Islam, et al.
Energy Reports (2022) Vol. 8, pp. 8805-8820
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A short-term wind power forecasting method based on multivariate signal decomposition and variable selection
Ting Yang, Zhenning Yang, Fei Li, et al.
Applied Energy (2024) Vol. 360, pp. 122759-122759
Closed Access | Times Cited: 26
An attention-based multi-input LSTM with sliding window-based two-stage decomposition for wind speed forecasting
Dongchuan Yang, Mingzhu Li, Ju’e Guo, et al.
Applied Energy (2024) Vol. 375, pp. 124057-124057
Closed Access | Times Cited: 8
Short-term wind power forecasting and uncertainty analysis based on FCM–WOA–ELM–GMM
Bo Gu, Hao Hu, Jian Zhao, et al.
Energy Reports (2022) Vol. 9, pp. 807-819
Open Access | Times Cited: 33
Rolling decomposition method in fusion with echo state network for wind speed forecasting
Huanling Hu, Lin Wang, Dabin Zhang, et al.
Renewable Energy (2023) Vol. 216, pp. 119101-119101
Closed Access | Times Cited: 21
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: 14
A novel interval estimation framework for wind power forecasting using multi-objective gradient descent optimization
Yinsong Chen, Samson S. Yu, Chee Peng Lim, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101363-101363
Closed Access | Times Cited: 5
Accelerating the low-carbon transition: Technological advancements and challenges for the sustainable development of energy, water, and environment systems
Giovanni Francesco Giuzio, Cesare Forzano, Giovanni Barone, et al.
Energy Reports (2024) Vol. 11, pp. 4676-4687
Open Access | Times Cited: 4
Optimization of deterministic and probabilistic forecasting for wind power based on ensemble learning
Sen Wang, Yonghui Sun, Wenjie Zhang, et al.
Energy (2025), pp. 134884-134884
Closed Access
Multi-step ahead wind power forecasting based on multi-feature wavelet decomposition and convolution-gated recurrent unit model
S.N. Shringi, Lalit Mohan Saini, S. K. Aggarwal
Electrical Engineering (2025)
Closed Access
Disaggregating VIX
Stavros Degiannakis, Eleftheria Kafousaki
International Journal of Forecasting (2025)
Closed Access
Decadal drought prediction via spectral transformation of projected Sea Surface Temperatures
Ze Jiang, Ashish Sharma
Journal of Hydrology X (2025), pp. 100203-100203
Open Access
A Novel Hybrid Deep Learning Model for Day-Ahead Wind Power Interval Forecasting
Jianjing Mao, Jian Zhao, H. Zhang, et al.
Sustainability (2025) Vol. 17, Iss. 7, pp. 3239-3239
Open Access
Disaggregating VIX
Stavros Degiannakis, Eleftheria Kafousaki
(2025)
Closed Access
Short‐Term Wind Power Prediction Based on MVMD‐AVOA‐CNN‐LSTM‐AM
Xiqing Zang, Zehua Wang, S. W. Zhang, et al.
International Transactions on Electrical Energy Systems (2025) Vol. 2025, Iss. 1
Open Access
A hybrid wind speed forecasting model with rolling mapping decomposition and temporal convolutional networks
Xiangjun Cai, Dagang Li, Yunfeng Zou, et al.
Energy (2025) Vol. 324, pp. 135673-135673
Closed Access
A hybrid model based on multivariate fast iterative filtering and long short-term memory for ultra-short-term cooling load prediction
Aung Myat, K. Namitha, Yong Loke Soh, et al.
Energy and Buildings (2024) Vol. 307, pp. 113977-113977
Closed Access | Times Cited: 3
Design and optimal scheduling of forecasting-based campus multi-energy complementary energy system
Weichao Dong, Hexu Sun, Zheng Li, et al.
Energy (2024) Vol. 309, pp. 133088-133088
Closed Access | Times Cited: 3
Multi-branch wind power prediction based on optimized variational mode decomposition
Bangru Xiong, Xinyu Meng, Gang Xiong, et al.
Energy Reports (2022) Vol. 8, pp. 11181-11191
Open Access | Times Cited: 15
A new criteria for determining the best decomposition level and filter for wavelet-based data-driven forecasting frameworks- validating using three case studies on the CAMELS dataset
Mohammad Reza M. Behbahani, Amin Mazarei
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 12, pp. 4827-4842
Closed Access | Times Cited: 9
Short-term wind speed combined forecasting model based on multi-decomposition algorithms and frameworks
Hong Xia, Jiahao Zheng, Yanping Chen, et al.
Electric Power Systems Research (2023) Vol. 227, pp. 109890-109890
Closed Access | Times Cited: 6
A novel few-sample wind power prediction model based on generative adversarial network and quadratic mode decomposition
Hang He, Manman Yuan
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 4
Multi-Objective Estimation of Optimal Prediction Intervals for Wind Power Forecasting
Yinsong Chen, Samson S. Yu, Chee Peng Lim, et al.
IEEE Transactions on Sustainable Energy (2023) Vol. 15, Iss. 2, pp. 974-985
Closed Access | Times Cited: 4
Revolutionizing Wind Power Prediction—The Future of Energy Forecasting with Advanced Deep Learning and Strategic Feature Engineering
Md. Ahasan Habib, M. J. Hossain
Energies (2024) Vol. 17, Iss. 5, pp. 1215-1215
Open Access | Times Cited: 1
Carbon Price Forecasting Using Optimized Sliding Window Empirical Wavelet Transform and Gated Recurrent Unit Network to Mitigate Data Leakage
Zeyu Zhang, Xiaoqian Liu, Xiling Zhang, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4358-4358
Open Access | Times Cited: 1
Multi-Objective Spiking Neural Network for Optimal Wind Power Prediction Interval
Yinsong Chen, Samson S. Yu, Jason K. Eshraghian, et al.
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2023), pp. 1-5
Closed Access | Times Cited: 3
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