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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 speed forecasting based on adaptive secondary decomposition and robust temporal convolutional network
Guowei Zhang, Yi Zhang, Hui Wang, et al.
Energy (2023) Vol. 288, pp. 129618-129618
Closed Access | Times Cited: 19

Showing 19 citing articles:

Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition
Sinvaldo Rodrigues Moreno, Laio Oriel Seman, Stéfano Frizzo Stefenon, et al.
Energy (2024) Vol. 292, pp. 130493-130493
Closed Access | Times Cited: 46
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: 2
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
A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning
Yan Chen, Miaolin Yu, Haochong Wei, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 580-580
Open Access | Times Cited: 1
Time series modeling and forecasting with feature decomposition and interaction for prognostics and health management in nuclear power plant
Hai-Bo Yu, Ling Chang, Minghan Yang, et al.
Energy (2025), pp. 135784-135784
Closed Access | Times Cited: 1
A reconstruction-based secondary decomposition-ensemble framework for wind power forecasting
Runkun Cheng, Di Yang, Da Liu, et al.
Energy (2024) Vol. 308, pp. 132895-132895
Closed Access | Times Cited: 7
WindForecastX: a dynamic approach for accurate long-term wind speed prediction in wind energy applications
Sasi Rekha Sankar, P. Madhavan
Ocean Dynamics (2025) Vol. 75, Iss. 1
Closed Access
A novel hybrid deep learning model for ultra-short-term prediction of wind speed
Kai Liu, Z.R. Shu, Pak Wai Chan
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
Ultra short-term wind power prediction based on an improved temporal convolutional network
Xin Zheng, Weicheng Chi, Hanyuan Zhang, et al.
International Journal of Green Energy (2025), pp. 1-21
Closed Access
Short-term wind speed prediction model based on long short-term memory network with feature extraction
Zhongda Tian, Yu Xiao, Guokui Feng
Earth Science Informatics (2025) Vol. 18, Iss. 4
Closed 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
Short-Term Traffic Flow Forecasting Method Based on Secondary Decomposition and Conventional Neural Network–Transformer
Qichun Bing, Panpan Zhao, Canzheng Ren, et al.
Sustainability (2024) Vol. 16, Iss. 11, pp. 4567-4567
Open Access | Times Cited: 2
Reservoir properties inversion using attention-based parallel hybrid network integrating feature selection and transfer learning
Jun Wang, Junxing Cao
Energy (2024) Vol. 304, pp. 132069-132069
Closed Access | Times Cited: 2
A Comprehensive Multivariate Wind Speed Forecasting Model Utilizing Deep Learning Neural Networks
Donglai Wei, Zhongda Tian
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
A spatial transfer-based hybrid model for wind speed forecasting
Xin Chen, Xiaoling Ye, Jian Shi, et al.
Energy (2024), pp. 133920-133920
Closed Access | Times Cited: 1
A Multi-Scale Component Feature Learning Framework Based on Cnn-Bigru and Online Sequential Regularized Extreme Learning Machine for Wind Speed Prediction
Xuedong Zhang, Huanyu Zhao, Zheng Wang, et al.
(2024)
Closed Access
Damage-related imbalance identification for UAV composite propeller blades based on bidirectional temporal convolutional network and a flexible sensing system
Ran Gu, Shufeng Zhang, Jialing Zhu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116126-116126
Closed Access
Damage identification for UAV composite propeller blades based on transmissibility probabilistic distance and attention bidirectional temporal convolutional network
Ran Gu, Shufeng Zhang, Jialing Zhu, et al.
Measurement (2024), pp. 115751-115751
Closed Access
An adaptive selection decomposition hybrid model for stock time series forecasting
Shuhan Ge, Aijing Lin
Nonlinear Dynamics (2024)
Closed Access
Rational dimension of a basis of a regression model for adaptive short-term forecasting the state of a discrete nonstationary dynamic system
Alexander S. Glazyrin, Evgeniy V. Bolovin, О. В. Архипова, et al.
Bulletin of the Tomsk Polytechnic University Geo Assets Engineering (2023) Vol. 334, Iss. 11, pp. 257-272
Open Access
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