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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:

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

Showing 21 citing articles:

A novel ensemble system for short-term wind speed forecasting based on hybrid decomposition approach and artificial intelligence models optimized by self-attention mechanism
Junheng Pang, Sheng Dong
Energy Conversion and Management (2024) Vol. 307, pp. 118343-118343
Closed Access | Times Cited: 22
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
Interpretable wind speed forecasting with meteorological feature exploring and two-stage decomposition
Binrong Wu, Sihao Yu, Lu Peng, et al.
Energy (2024) Vol. 294, pp. 130782-130782
Closed Access | Times Cited: 14
A hybrid wind speed forecasting model with two-stage data processing based on adaptive neuro-fuzzy inference systems and deep learning algorithms
Zhongda Tian, D. H. Wei
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Explainable machine learning techniques based on attention gate recurrent unit and local interpretable model‐agnostic explanations for multivariate wind speed forecasting
Lu Peng, Sheng‐Xiang Lv, Lin Wang
Journal of Forecasting (2024) Vol. 43, Iss. 6, pp. 2064-2087
Closed Access | Times Cited: 10
Carbon price forecasting using leaky integrator echo state networks with the framework of decomposition-reconstruction-integration
Yun Bai, Shuyun Deng, Ziqiang Pu, et al.
Energy (2024) Vol. 305, pp. 132338-132338
Closed Access | Times Cited: 5
Adaptive model based on ESN for anomaly detection in industrial systems
José R. Rodríguez-Ossorio, Antonio Morán, Juan J. Fuertes, et al.
Evolving Systems (2025) Vol. 16, Iss. 1
Open Access
A novel data-driven model for explainable hog price forecasting
Binrong Wu, Huanze Zeng, Huanling Hu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Enhanced forecasting method for realized volatility of energy futures prices: A secondary decomposition-based deep learning model
Hao Gong, H. Y. Xing, Qianwen Wang
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110321-110321
Closed Access
CMLLM: A novel cross-modal large language model for wind power forecasting
Guopeng Zhu, Weiqing Jia, Zhitai Xing, et al.
Energy Conversion and Management (2025) Vol. 330, pp. 119673-119673
Closed Access
A novel hybrid forecasting model with feature selection and deep learning for wind speed research
Xuejun Chen, Ying Wang, Hai‐Tao Zhang, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 5, pp. 1682-1705
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
Prediction of significant wave height using a VMD-LSTM-rolling model in the South Sea of China
Tong Ding, De-an Wu, Liangshuai Shen, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access | Times Cited: 2
A novel ultra-short-term wind power prediction model jointly driven by multiple algorithm optimization and adaptive selection
Qingcheng Lin, Huiling Cai, Hanwei Liu, et al.
Energy (2023) Vol. 288, pp. 129724-129724
Closed Access | Times Cited: 7
Combined wind speed forecasting model based on secondary decomposition and quantile regression closed-form continuous-time neural network
Wenzhi Qiu, Wenyu Zhang, Gang Wang, et al.
International Journal of Green Energy (2023) Vol. 21, Iss. 8, pp. 1793-1814
Closed Access | Times Cited: 4
Short-term wind speed forecasts through hybrid model based on improved variational mode decomposition
Dai Yiyan, Mingjin Zhang, Xu Xin, et al.
International Journal of Green Energy (2024) Vol. 21, Iss. 10, pp. 2281-2298
Closed Access | Times Cited: 1
Can Data Preprocessing Techniques Indeed Improve Short-Term Wind Speed Forecasting Accuracy? A Comprehensive Validation and Discussion
Junheng Pang, Sheng Dong
(2024)
Closed Access
Multi-step ahead wind speed forecasting approach coupling PSR, NNCT-based multi-model fusion and a new optimization algorithm
Zhihao Shang, Yanhua Chen, Quan Wen, et al.
Renewable Energy (2024), pp. 121992-121992
Closed Access
Can Data Preprocessing Techniques Indeed Improve Short-Term Wind Speed Forecasting Accuracy? A Comprehensive Validation and Discussion
Junheng Pang, Sheng Dong
(2024)
Closed Access
Sparse compressed deep echo state network with improved arithmetic optimization algorithm for chaotic time series prediction
Hongbo Wang, Yuanbin Mo
Expert Systems with Applications (2024) Vol. 259, pp. 125249-125249
Closed Access
Influence of Modal Decomposition Algorithms on Nonlinear Time Series Machine Learning Prediction Models in Engineering: A Case Study of Subway Tunnel Settlement
Q. Shen, Yuming Wu, Limin Wan, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 10848-10848
Open Access
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