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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 bilateral branch learning paradigm for short term wind power prediction with data of multiple sampling resolutions
Hong Liu, Zijun Zhang
Journal of Cleaner Production (2022) Vol. 380, pp. 134977-134977
Closed Access | Times Cited: 11

Showing 11 citing articles:

A two-channel deep network based model for improving ultra-short-term prediction of wind power via utilizing multi-source data
Hong Liu, Luoxiao Yang, Bingying Zhang, et al.
Energy (2023) Vol. 283, pp. 128510-128510
Closed Access | Times Cited: 25
A novel wind power prediction model improved with feature enhancement and autoregressive error compensation
Jianing Wang, Hongqiu Zhu, Fei Cheng, et al.
Journal of Cleaner Production (2023) Vol. 420, pp. 138386-138386
Closed Access | Times Cited: 25
A comprehensive review on the development of data-driven methods for wind power prediction and AGC performance evaluation in wind–thermal bundled power systems
Shuai Wang, Bin Li, Guanzheng Li, et al.
Energy and AI (2024) Vol. 16, pp. 100336-100336
Open Access | Times Cited: 8
Wind power prediction based on WT-BiGRU-attention-TCN model
Dianwei Chi, Chaozhi Yang
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 16
Development and trending of deep learning methods for wind power predictions
Hong Liu, Zijun Zhang
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 4
Ultra-short-term wind power forecasting based on feature weight analysis and cluster dynamic division
Chen Chang, Yuyu Meng, Jiuyuan Huo, et al.
Journal of Renewable and Sustainable Energy (2024) Vol. 16, Iss. 2
Closed Access | Times Cited: 3
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
Wind power output prediction in complex terrain based on modal decomposition attentional convolutional network
Yang Liu, Pingping Xie, Yinguo Yang, et al.
Frontiers in Energy Research (2024) Vol. 11
Open Access | Times Cited: 1
Adaptive expert fusion model for online wind power prediction
Renfang Wang, Jingtong Wu, Xu Cheng, et al.
Neural Networks (2024) Vol. 184, pp. 107022-107022
Open Access | Times Cited: 1
Benchmarking of Various Flexible Soft-Computing Strategies for the Accurate Estimation of Wind Turbine Output Power
Boudy Bilal, Kaan Yetilmezsoy, Mohammed Ouassaid
Energies (2024) Vol. 17, Iss. 3, pp. 697-697
Open Access
Adaptive SPP–CNN–LSTM–ATT wind farm cluster short-term power prediction model based on transitional weather classification
Guili Ding, Gaoyang Yan, Zongyao Wang, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 1
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