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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:

A wavelet-LSTM model for short-term wind power forecasting using wind farm SCADA data
Zhaohua Liu, Chang-Tong Wang, Hua‐Liang Wei, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123237-123237
Closed Access | Times Cited: 17

Showing 17 citing articles:

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: 5
Data-driven deep learning model for short-term wind power prediction assisted with WGAN-GP data preprocessing
Wei Wang, Jian Yang, Yihuan Li, et al.
Expert Systems with Applications (2025), pp. 127068-127068
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
MSVMD-Informer: A Multi-Variate Multi-Scale Method to Wind Power Prediction
Zhijian Liu, Jikai Chen, Hang Dong, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1571-1571
Open Access
Investigation of the Impact of SSSC-Based FLC on the Stability of Power Systems Connected to Wind Farms
Ahmadreza Abdollahi Chirani, Ali Karami
International Transactions on Electrical Energy Systems (2024) Vol. 2024, pp. 1-24
Open Access | Times Cited: 4
Short-term wind power prediction method based on multivariate signal decomposition and RIME optimization algorithm
Y. Wang, Lili Pei, Wei Li, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125376-125376
Closed Access | Times Cited: 3
Very short-term wind power forecasting considering static data: An improved transformer model
Sen Wang, Yonghui Sun, Wenjie Zhang, et al.
Energy (2024), pp. 133577-133577
Closed Access | Times Cited: 3
Wind power forecasting using optimized LSTM by attraction–repulsion optimization algorithm
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Ahmad O. Aseeri, et al.
Ain Shams Engineering Journal (2024), pp. 103150-103150
Open Access | Times Cited: 3
A novel offshore wind power prediction model based on TCN-DANet-sparse transformer and considering spatio-temporal coupling in multiple wind farms
Juntao Chen, Xueying Fu, Lingli Zhang, et al.
Energy (2024) Vol. 308, pp. 132899-132899
Closed Access | Times Cited: 2
Enhanced support vector machine-based moving regression strategy for response prediction and reliability estimation of complex structure
Hui Zhu, Hui-Kun Hao, Cheng Lu
Aerospace Science and Technology (2024), pp. 109634-109634
Closed Access | Times Cited: 2
Hypertuned wavelet convolutional neural network with long short-term memory for time series forecasting in hydroelectric power plants
Stéfano Frizzo Stefenon, Laio Oriel Seman, Evandro Cardozo da Silva, et al.
Energy (2024), pp. 133918-133918
Closed Access | Times Cited: 2
A new approach to forecasting Islamic and conventional oil and gas stock prices
حسن حیدری, Oluwasegun B. Adekoya, Muhammad Mahdi Rashidi, et al.
International Review of Economics & Finance (2024) Vol. 96, pp. 103513-103513
Closed Access | Times Cited: 1
CEEMDAN-RIME–Bidirectional Long Short-Term Memory Short-Term Wind Speed Prediction for Wind Farms Incorporating Multi-Head Self-Attention Mechanism
Wenlu Yang, Zhanqiang Zhang, Keqilao Meng, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8337-8337
Open Access
Multitasking optimization for the imaging problem in electrical capacitance tomography
Jing Lei, Qibin Liu
Expert Systems with Applications (2024) Vol. 257, pp. 125105-125105
Closed Access
A Comprehensive Framework of the Decomposition-Based Hybrid Method for Ultra-Short-Term Wind Power Forecasting with On-Site Application
Shixi Yang, Jiaxuan Zhou, Xiwen Gu, et al.
(2024)
Closed Access
The short-term wind power prediction based on a multi-layer stacked model of BO-CNN-BiGRU-SA
Wen Chen, Huang Hong-quan, Xingke Ma, et al.
Digital Signal Processing (2024) Vol. 156, pp. 104838-104838
Closed Access
Dynamic graph structure and spatio-temporal representations in wind power forecasting
Peng Zang, Wenqi Dong, Jing Wang, et al.
Science and Technology for Energy Transition (2024) Vol. 80, pp. 9-9
Open Access
A comprehensive framework of the decomposition-based hybrid method for ultra-short-term wind power forecasting with on-site application
Shixi Yang, Jiaxuan Zhou, Xiwen Gu, et al.
Energy (2024), pp. 133911-133911
Closed Access
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