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:

Short-term wind speed prediction based on FEEMD-PE-SSA-BP
Ting Zhu, Wenbo Wang, Min Yu
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 52, pp. 79288-79305
Closed Access | Times Cited: 16

Showing 16 citing articles:

Application of fractal analysis on wind speed time series: a review
Z.R. Shu, Pak Wai Chan
Advances in wind engineering. (2025), pp. 100028-100028
Open Access | Times Cited: 2

A hybrid forecasting model of carbon emissions with optimized VMD and error correction
Guohui Li, Hao Wu, Hong Yang
Alexandria Engineering Journal (2023) Vol. 81, pp. 210-233
Open Access | Times Cited: 17

Short-term wind farm cluster power prediction based on dual feature extraction and quadratic decomposition aggregation
Zhijian Qu, Xinxing Hou, Jian Li, et al.
Energy (2023) Vol. 290, pp. 130155-130155
Closed Access | Times Cited: 13

A data-driven approach to urban charging facility expansion based on bi-level optimization: A case study in a Chinese city
Jianing Cao, Yuhang Han, Nan Pan, et al.
Energy (2024) Vol. 300, pp. 131529-131529
Closed Access | Times Cited: 5

A combined model based on secondary decomposition technique and grey wolf optimizer for short-term wind power forecasting
Zhongde Su, Bowen Zheng, Huacai Lu
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 7

A novel method for predicting wind speed using data decomposition-based reformer model
Bala Saibabu Bommidi, Kiran Teeparthi
Earth Science Informatics (2023) Vol. 17, Iss. 1, pp. 227-249
Closed Access | Times Cited: 4

Remaining useful life prediction of lithium-ion batteries based on FEEMD-LSTM-TAM-OKELM
Jianwei Yu, Yaoyang Cai, Yingxin Huang, et al.
AIP Advances (2024) Vol. 14, Iss. 11
Open Access | Times Cited: 1

Wind power forecasting based on improved variational mode decomposition and permutation entropy
Zhijian Qu, Xinxing Hou, Wenbo Hu, et al.
Clean Energy (2023) Vol. 7, Iss. 5, pp. 1032-1045
Open Access | Times Cited: 3

Estimating the predictability limit of meteorological variables using permutation entropy
Z.R. Shu, Haonan Deng, Pak Wai Chan, et al.
Physics of Fluids (2024) Vol. 36, Iss. 11
Closed Access

Multi-objective process parameters optimization of laser repairing steel plate in pressure vessels using machine learning
Kaijun Fan, Yongjun Shi, Chao Zhuang, et al.
Mechanics of Advanced Materials and Structures (2024), pp. 1-14
Closed Access

Optimized wind power prediction and energy storage scheduling using genetic algorithm and backpropagation neural network
Peng Wu, Z. B. Li
International Journal of Renewable Energy Development (2024) Vol. 14, Iss. 1, pp. 146-157
Open Access

BP Neural Network-Assisted Power Prediction for Photovoltaic Power Station
Xiaozhi Deng, Bo Li, Zhihua Yang, et al.
(2023), pp. 202-205
Closed Access

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