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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 hybrid model based on discrete wavelet transform (DWT) and bidirectional recurrent neural networks for wind speed prediction
Arezoo Barjasteh, Seyyed Hamid Ghafouri, Malihe Hashemi
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107340-107340
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Wind speed short-term prediction using recurrent neural network GRU model and stationary wavelet transform GRU hybrid model
Darío Gerardo Fantini, Reginaldo Nunes da Silva, Mario Siqueira, et al.
Energy Conversion and Management (2024) Vol. 308, pp. 118333-118333
Closed Access | Times Cited: 16
Ultra-short-term wind power forecasting jointly driven by anomaly detection, clustering and graph convolutional recurrent neural networks
Jianzhou Wang, Menggang Kou, Runze Li, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103137-103137
Closed Access | Times Cited: 2
An adaptive distribution-matched recurrent network for wind power prediction using time-series distribution period division
Anbo Meng, Haitao Zhang, Zhongfu Dai, et al.
Energy (2024) Vol. 299, pp. 131383-131383
Closed Access | Times Cited: 8
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
Multimodal Fusion of Optimized GRU–LSTM with Self-Attention Layer for Hydrological Time Series Forecasting
Hüseyin Çağan Kılınç, Sina Apak, Furkan Ozkan, et al.
Water Resources Management (2024) Vol. 38, Iss. 15, pp. 6045-6062
Closed Access | Times Cited: 6
A novel prediction model for integrated district energy system based on secondary decomposition and artificial rabbits optimization
Yan Guo, Qichao Tang, Jo Darkwa, et al.
Energy and Buildings (2024) Vol. 310, pp. 114106-114106
Closed Access | Times Cited: 5
BiLSTM-InceptionV3-Transformer-fully-connected model for short-term wind power forecasting
Linfei Yin, Yujie Sun
Energy Conversion and Management (2024) Vol. 321, pp. 119094-119094
Closed Access | Times Cited: 5
A novel chaotic time series wind power point and interval prediction method based on data denoising strategy and improved coati optimization algorithm
Chao Wang, Lin Hon, Ming Yang, et al.
Chaos Solitons & Fractals (2024) Vol. 187, pp. 115442-115442
Closed Access | Times Cited: 4
A hybrid prediction model for marine wind speed considering internal temporal features recombination and external variables association
Haoxian Wen, Sheng Du, Chengda Lu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110218-110218
Closed Access
A quality-driven multi-attribute channel hybrid neural network for soft sensing in refining processes
Zhi Li, Kaige Xue, Junfeng Chen, et al.
Measurement (2025), pp. 117061-117061
Closed Access
TFMSNet: A time series forecasting framework with time–frequency analysis and multi-scale processing
Xin Song, Xianglong Zhang, Wang Tian, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110260-110260
Closed Access
Nonreciprocal surface plasmonic neural network for decoupled bidirectional analogue computing
Zuojia Wang, Xiaomeng Li, Haochen Yang, et al.
Research Square (Research Square) (2025)
Closed Access
PSO-Optimised Autoencoder for Fault Prediction in Wind Turbine Planet Carrier Bearing
Samuel M. Gbashi, Obafemi O. Olatunji, Paul A. Adedeji, et al.
Results in Engineering (2025), pp. 104844-104844
Open Access
A protection scheme based on machine learning-based algorithm for fault detection in microgrid considering line to ground faults and weather scenarios in the Asian region
Shankarshan Prasad Tiwari, Ritu KR
Electrical Engineering (2025)
Closed Access
Combined multi-component composite time series power prediction model for distributed energy systems based on STL data decomposition
T. J. Yang, Liansheng Huang, Peng Fu, et al.
Measurement (2025), pp. 117299-117299
Open Access
Data-driven modeling for ultra-supercritical unit based on bidirectional test-time training and improved temporal convolutional network
Guolian Hou, Zeyu Liu
Energy (2025), pp. 136245-136245
Closed Access
A Multi-Channel Spatiotemporal Segnet Model for Short Term Wind Power Prediction with Sequence Decomposition and Reconstruction
Xingdou Liu, Liang Zou, Li Zhang, et al.
(2025)
Closed Access
MIG-EWPFS: An ensemble probabilistic wind speed forecasting system integrating multi-dimensional feature extraction, hybrid quantile regression, and Knee improved multi-objective optimization
Qianyi Xing, Xiaojia Huang, Kang Wang, et al.
Energy (2025) Vol. 324, pp. 136060-136060
Closed Access
A novel diagnosis methodology of gear oil for wind turbine combining stepwise multivariate regression and clustered federated learning framework
Huihui Han, Y. X. Zhao, Hao Jiang, et al.
(2025)
Closed Access
Renewable energy forecasting using optimized quantum temporal model based on Ninja optimization algorithm
Mona Ahmed Yassen, El-Sayed M. El-kenawy, Mohamed S. Abdelfattah, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Fault diagnosis of wind turbine blades with continuous wavelet transform based deep learning model using vibration signal
Manas Ranjan Sethi, Anjana Bharati Subba, Mohd Faisal, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109372-109372
Closed Access | Times Cited: 3
Predictive analysis of stochastic stock pattern utilizing fractional order dynamics and heteroscedastic with a radial neural network framework
Ayaz Hussain Bukhari, Muhammad Asif Zahoor Raja, Hani Alquhayz, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108687-108687
Closed Access | Times Cited: 2
Deep decarbonization potential and implementation path under provincial differences in China's fleet electrification
Bingchun Liu, Chengyuan Song, Mingzhao Lai, et al.
The Science of The Total Environment (2024) Vol. 946, pp. 174271-174271
Closed Access | Times Cited: 2
Degradation prediction for mechanical components based on transfer learning and a multistage statistical model
Chaoqun Duan, Kanghao Guo, Fuqiang Liu, et al.
Computers & Industrial Engineering (2024) Vol. 197, pp. 110485-110485
Closed Access | Times Cited: 2
Deep learning-based GoogLeNet-embedded no-pooling dimension fully-connected network for short-term wind power prediction
Pingping Xie, Yang Liu, Qiuyu Lu, et al.
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 1
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