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 photovoltaic prediction based on CNN‐GRU optimized by improved similar day extraction, decomposition noise reduction and SSA optimization
Rui Li, Mingtao Wang, X. Li, et al.
IET Renewable Power Generation (2024) Vol. 18, Iss. 6, pp. 908-928
Open Access | Times Cited: 8

Showing 8 citing articles:

Recurrent Fourier-Kolmogorov Arnold Networks for photovoltaic power forecasting
Desheng Rong, Zhongbao Lin, Guomin Xie
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1

Short-term PV power data prediction based on improved FCM with WTEEMD and adaptive weather weights
Fengpeng Sun, Longhao Li, Dun-xin Bian, et al.
Journal of Building Engineering (2024) Vol. 90, pp. 109408-109408
Closed Access | Times Cited: 5

Photovoltaic Power Prediction Based on Machine Learning Fusion Algorithm
Xuying Zhang, Yang Liu, Ye Du, et al.
Communications in computer and information science (2025), pp. 193-210
Closed Access

Significant Wave Height Prediction Based on Improved Fuzzy C-Means Clustering and Bivariate Kernel Density Estimation
Jianguo Zhou, Luming Zhou, Yunlong Zhao, et al.
Renewable Energy (2025), pp. 122787-122787
Closed Access

Multisite Long-Term Photovoltaic Forecasting Model Based on VACI
Siling Feng, Ruitao Chen, Mengxing Huang, et al.
Electronics (2024) Vol. 13, Iss. 14, pp. 2806-2806
Open Access | Times Cited: 1

A novel prediction method for low wind output processes under very few samples based on improved W‐DCGAN
Shihua Liu, Han Wang, Weiye Song, et al.
IET Renewable Power Generation (2024) Vol. 18, Iss. 14, pp. 2294-2304
Open Access

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