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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:

WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network
Hakan Açıkgöz, Ümit Budak, Deniz Korkmaz, et al.
Energy (2021) Vol. 233, pp. 121121-121121
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Hybrid wind speed forecasting using ICEEMDAN and transformer model with novel loss function
Bala Saibabu Bommidi, Kiran Teeparthi, Vishalteja Kosana
Energy (2022) Vol. 265, pp. 126383-126383
Closed Access | Times Cited: 83
Near real-time wind speed forecast model with bidirectional LSTM networks
Lionel Joseph, Ravinesh C. Deo, Ramendra Prasad, et al.
Renewable Energy (2023) Vol. 204, pp. 39-58
Closed Access | Times Cited: 77
A novel ensemble system for short-term wind speed forecasting based on Two-stage Attention-Based Recurrent Neural Network
Ziyuan Zhang, Jianzhou Wang, Danxiang Wei, et al.
Renewable Energy (2023) Vol. 204, pp. 11-23
Closed Access | Times Cited: 56
Improving ultra-short-term photovoltaic power forecasting using a novel sky-image-based framework considering spatial-temporal feature interaction
Haixiang Zang, Dianhao Chen, Jingxuan Liu, et al.
Energy (2024) Vol. 293, pp. 130538-130538
Closed Access | Times Cited: 17
Developing a wind power forecasting system based on deep learning with attention mechanism
Chaonan Tian, Tong Niu, Wei Wei
Energy (2022) Vol. 257, pp. 124750-124750
Closed Access | Times Cited: 63
A simple approach for short-term wind speed interval prediction based on independently recurrent neural networks and error probability distribution
Adnan Saeed, Chaoshun Li, Zhenhao Gan, et al.
Energy (2021) Vol. 238, pp. 122012-122012
Closed Access | Times Cited: 62
A novel ensemble model based on artificial intelligence and mixed-frequency techniques for wind speed forecasting
Wendong Yang, Zhirui Tian, Hao Yan
Energy Conversion and Management (2021) Vol. 252, pp. 115086-115086
Closed Access | Times Cited: 57
Unified whale optimization algorithm based multi-kernel SVR ensemble learning for wind speed forecasting
Huafeng Xian, Jinxing Che
Applied Soft Computing (2022) Vol. 130, pp. 109690-109690
Closed Access | Times Cited: 44
A Spatiotemporal Directed Graph Convolution Network for Ultra-Short-Term Wind Power Prediction
Zhuo Li, Lin Ye, Yongning Zhao, et al.
IEEE Transactions on Sustainable Energy (2022) Vol. 14, Iss. 1, pp. 39-54
Closed Access | Times Cited: 39
A wind speed forecasting model based on multi-objective algorithm and interpretability learning
Min Li, Yi Yang, Zhaoshuang He, et al.
Energy (2023) Vol. 269, pp. 126778-126778
Closed Access | Times Cited: 25
A multiscale and multivariable differentiated learning for carbon price forecasting
Linfei Chen, Zhao Xuefeng
Energy Economics (2024) Vol. 131, pp. 107353-107353
Closed Access | Times Cited: 12
A novel ensemble model for long-term forecasting of wind and hydro power generation
Priyanka Malhan, Monika Mittal
Energy Conversion and Management (2021) Vol. 251, pp. 114983-114983
Closed Access | Times Cited: 49
Short-Term Wind Speed Forecasting With Deep Learning
Fatih Karaaslan, Zeynep Mine Alçin, Muzaffer Aslan
Firat University Journal of Experimental and Computational Engineering (2025) Vol. 4, Iss. 1, pp. 151-162
Open Access
Short-term offshore wind speed forecasting approach based on multi-stage decomposition and deep residual network with self-attention
Hakan Açıkgöz, Deniz Korkmaz
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110313-110313
Closed Access
State-of-the-Art Using Bibliometric Analysis of Wind-Speed and -Power Forecasting Methods Applied in Power Systems
Ana Catarina Lagos, Joaquín E. Caicedo, Gustavo Coria, et al.
Energies (2022) Vol. 15, Iss. 18, pp. 6545-6545
Open Access | Times Cited: 25
Short-term wind speed prediction based on improved Hilbert–Huang transform method coupled with NAR dynamic neural network model
Jian Chen, Zhikai Guo, Luyao Zhang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Review of several key processes in wind power forecasting: Mathematical formulations, scientific problems, and logical relations
Mao Yang, Y. Huang, Chuanyu Xu, et al.
Applied Energy (2024) Vol. 377, pp. 124631-124631
Closed Access | Times Cited: 4
A hybrid chaotic-based discrete wavelet transform and Aquila optimisation tuned-artificial neural network approach for wind speed prediction
Eric Ofori-Ntow, Yao Yevenyo Ziggah, María João Rodrigues, et al.
Results in Engineering (2022) Vol. 14, pp. 100399-100399
Open Access | Times Cited: 20
A New CNN-Based Method for Short-Term Forecasting of Electrical Energy Consumption in the Covid-19 Period: The Case of Turkey
İpek Atik
IEEE Access (2022) Vol. 10, pp. 22586-22598
Open Access | Times Cited: 19
Forecasting of wind speed under wind-fire coupling scenarios by combining HS-VMD and AM-LSTM
Chuanying Lin, Xingdong Li, Shi Tie-feng, et al.
Ecological Informatics (2023) Vol. 77, pp. 102270-102270
Closed Access | Times Cited: 11
ELFNet: An Effective Electricity Load Forecasting Model Based on a Deep Convolutional Neural Network with a Double-Attention Mechanism
Zhao Pei, Guang Ling, Xiang‐Xiang Song
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6270-6270
Open Access | Times Cited: 3
A Pragmatic Framework for Data-Driven Decision-Making Process in the Energy Sector: Insights from a Wind Farm Case Study
Konstantinos Konstas, Panos Chountalas, Eleni A. Didaskalou, et al.
Energies (2023) Vol. 16, Iss. 17, pp. 6272-6272
Open Access | Times Cited: 6
Spatial-temporal offshore wind speed characteristics prediction based on an improved purely 2D CNN approach in a large-scale perspective using reanalysis dataset
Zeguo Zhang, Jianchuan Yin
Energy Conversion and Management (2023) Vol. 299, pp. 117880-117880
Open Access | Times Cited: 6
Developing a data-driven hydraulic excavator fuel consumption prediction system based on deep learning
Haoju Song, Guiqin Li, Xihang Li, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102063-102063
Closed Access | Times Cited: 5
Residual-connected physics-informed neural network for anti-noise wind field reconstruction
Runze Tian, Kou Peng, Yuanhang Zhang, et al.
Applied Energy (2023) Vol. 357, pp. 122439-122439
Closed Access | Times Cited: 5
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