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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:

Wind power forecasting based on new hybrid model with TCN residual modification
Jiaojiao Zhu, Liancheng Su, Yingwei Li
Energy and AI (2022) Vol. 10, pp. 100199-100199
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

A hybrid deep learning model based on parallel architecture TCN-LSTM with Savitzky-Golay filter for wind power prediction
Shujun Liu, Tong Xu, Xiaoze Du, et al.
Energy Conversion and Management (2024) Vol. 302, pp. 118122-118122
Closed Access | Times Cited: 32
Degradation prediction of PEM water electrolyzer under constant and start-stop loads based on CNN-LSTM
Boshi Xu, Wenbiao Ma, Wenyan Wu, et al.
Energy and AI (2024) Vol. 18, pp. 100420-100420
Open Access | Times Cited: 10
Short-Term Wind Power Forecasting Based on VMD and a Hybrid SSA-TCN-BiGRU Network
Yujie Zhang, Lei Zhang, Duo Sun, et al.
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9888-9888
Open Access | Times Cited: 21
An Ultra-Short-Term Wind Power Forecasting Model Based on EMD-EncoderForest-TCN
Yu Sun, Junjie Yang, Xiaotian Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 60058-60069
Open Access | Times Cited: 6
Wind Power Forecasting Using Optimized Dendritic Neural Model Based on Seagull Optimization Algorithm and Aquila Optimizer
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Mohamed Abd Elaziz, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9261-9261
Open Access | Times Cited: 23
A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting
Yugui Tang, Shujing Zhang, Zhen Zhang
Energy (2023) Vol. 286, pp. 129639-129639
Closed Access | Times Cited: 14
Human-cognition-inspired deep model with its application to ocean wave height forecasting
Han Wu, Yan Liang, Xiao‐Zhi Gao, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120606-120606
Closed Access | Times Cited: 13
Multi-Step Wind Power Forecasting with Stacked Temporal Convolutional Network (S-TCN)
Khoa-Minh Nguyen-Huu, Phan Quoc Dzung, Yuan‐Kang Wu, et al.
Energies (2023) Vol. 16, Iss. 9, pp. 3792-3792
Open Access | Times Cited: 12
A VAE-Bayesian deep learning scheme for solar power generation forecasting based on dimensionality reduction
Devinder Kaur, Shama Naz Islam, M. A. Mahmud, et al.
Energy and AI (2023) Vol. 14, pp. 100279-100279
Open Access | Times Cited: 12
An explainable AI framework for robust and transparent data-driven wind turbine power curve models
Simon Letzgus, Klaus‐Robert Müller
Energy and AI (2023) Vol. 15, pp. 100328-100328
Open Access | Times Cited: 12
A Novel Ensemble Machine Learning Model for Oil Production Prediction with Two-Stage Data Preprocessing
Zhe Fan, Xiusen Liu, Zuoqian Wang, et al.
Processes (2024) Vol. 12, Iss. 3, pp. 587-587
Open Access | Times Cited: 4
Ultra-short-term wind power prediction model based on fixed scale dual mode decomposition and deep learning networks
Jiuyuan Huo, Jihao Xu, Chen Chang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108501-108501
Closed Access | Times Cited: 4
Law of conservation-guided neural network with gradient aggregation for improved energy efficiency optimization in industrial processes
Santi Bardeeniz, Chanin Panjapornpon, Moonyong Lee
Energy and AI (2025), pp. 100475-100475
Open Access
Power forecasting method of ultra-short-term wind power cluster based on the convergence cross mapping algorith
Yili Yang, Weiye Song, Shuang Han, et al.
Global Energy Interconnection (2025)
Open Access
Selected Topics in Time Series Forecasting: Statistical Models vs. Machine Learning
Dag Tjøstheim
Entropy (2025) Vol. 27, Iss. 3, pp. 279-279
Open Access
A Deep Learning Model Based on Bidirectional Temporal Convolutional Network (Bi-TCN) for Predicting Employee Attrition
Farhad Mortezapour Shiri, Shingo Yamaguchi, Mohd Anuaruddin Bin Ahmadon
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 2984-2984
Open Access
Wind power prediction based on improved self-attention mechanism combined with Bi-directional Temporal Convolutional Network
Jian Shi, Jiashen Teh, Ching‐Ming Lai
Energy (2025), pp. 135666-135666
Closed Access
A novel wind speed prediction model based on neural networks, wavelet transformation, mutual information, and coot optimization algorithm
Faezeh Amirteimoury, Farshid Keynia, Elaheh Amirteimoury, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Harnessing Tc-Ls-Ga-At: a novel deep learning based hybrid approach for wind power forecasting
Kartik Bansal, Kamlesh Bisht, Priya Singh
International Journal of Systems Assurance Engineering and Management (2025)
Closed Access
A Novel Frequency Sparse Downsampling Interaction Transformer for Wind Power Forecasting
Hexian Wang, Dongjie Guo, Lingmei Wang, et al.
Energy (2025), pp. 136199-136199
Closed Access
Joint Probabilistic Forecasting of Wind and Solar Power Exploiting Spatiotemporal Complementarity
Fahong Zhang, Zhiyuan Leng, Lu Chen, et al.
Sustainability (2025) Vol. 17, Iss. 8, pp. 3584-3584
Open Access
Hybrid model with temporal convolutional network and transformer encoder for privacy-preserving wind power forecasting
Zhen Zhang, Fu‐Zhen Xuan, X. D. Ruan, et al.
Advances in Manufacturing (2025)
Closed Access
Deep Learning Approaches for Power Prediction in Wind–Solar Tower Systems
Mostafa A. Rushdi, Shigeo Yoshida, Koichi Watanabe, et al.
Energies (2024) Vol. 17, Iss. 15, pp. 3630-3630
Open Access | Times Cited: 3
Research and application of a novel weight-based evolutionary ensemble model using principal component analysis for wind power prediction
Chu Zhang, Zihan Tao, Jinlin Xiong, et al.
Renewable Energy (2024) Vol. 232, pp. 121085-121085
Closed Access | Times Cited: 3
Deep hybrid neural net (DHN-Net) for minute-level day-ahead solar and wind power forecast in a decarbonized power system
Olusola Bamisile, Dongsheng Cai, Humphrey Adun, et al.
Energy Reports (2023) Vol. 9, pp. 1163-1172
Open Access | Times Cited: 7
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