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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:

Short-term PV Output Power Forecasting Based on CEEMDAN-AE-GRU
Na Zhang, Qiang Ren, Guangchen Liu, et al.
Journal of Electrical Engineering and Technology (2022) Vol. 17, Iss. 2, pp. 1183-1194
Closed Access | Times Cited: 20

Showing 20 citing articles:

Accurate solar PV power prediction interval method based on frequency-domain decomposition and LSTM model
Lining Wang, Mingxuan Mao, Jili Xie, et al.
Energy (2022) Vol. 262, pp. 125592-125592
Closed Access | Times Cited: 86
Bi-LSTM, GRU and 1D-CNN models for short-term photovoltaic panel efficiency forecasting case amorphous silicon grid-connected PV system
Abdellatif Ait Mansour, Amine Tilioua, Mohammed Touzani
Results in Engineering (2024) Vol. 21, pp. 101886-101886
Open Access | Times Cited: 26
Short-Term PV Power Forecasting Using a Hybrid TVF-EMD-ELM Strategy
Reski Khelifi, Mawloud Guermoui, Abdelaziz Rabehi, et al.
International Transactions on Electrical Energy Systems (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 30
A cross-sectional survey of deterministic PV power forecasting: Progress and limitations in current approaches
Andreea Săbăduş, Robert Blaga, Sergiu-Mihai Hategan, et al.
Renewable Energy (2024) Vol. 226, pp. 120385-120385
Closed Access | Times Cited: 13
SSA-LSTM: Short-Term Photovoltaic Power Prediction Based on Feature Matching
Zhengwei Huang, Jin Huang, Jintao Min
Energies (2022) Vol. 15, Iss. 20, pp. 7806-7806
Open Access | Times Cited: 30
Photovoltaic power prediction method for zero energy consumption buildings based on multi-feature fuzzy clustering and MAOA-ESN
Naiqing Li, Longhao Li, Feixiang Huang, et al.
Journal of Building Engineering (2023) Vol. 75, pp. 106922-106922
Closed Access | Times Cited: 20
Deep graph gated recurrent unit network-based spatial–temporal multi-task learning for intelligent information fusion of multiple sites with application in short-term spatial–temporal probabilistic forecast of photovoltaic power
Mingliang Bai, Z. C. Zhou, Jingjing Li, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122072-122072
Closed Access | Times Cited: 15
A Short-Term Power Prediction Method Based on Temporal Convolutional Network in Virtual Power Plant Photovoltaic System
X. K. Zhou, Chengxin Pang, Xinhua Zeng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 12
Exploring the landscape of deep learning for solar photovoltaic power output forecasting: A review
Dheeraj Kumar Dhaked, V. L. Narayanan, Ram Gopal, et al.
Renewable energy focus (2025), pp. 100682-100682
Closed Access
A Short-term photovoltaic power prediction method based on the nearest clear sky day decomposition and temporal convolutional network
R.L. Zhang, Chengxin Pang, Xiaoguang Zhu, et al.
Electrical Engineering (2025)
Closed Access
Accurate Solar Pv Power Prediction Interval Method Based on Frequency-Domain Decomposition and Lstm Model
Lining Wang, Mingxuan Mao, Jili Xie, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 13
Variational mode decomposition combined fuzzy—Twin support vector machine model with deep learning for solar photovoltaic power forecasting
Gobu Balraj, T. Aruldoss Albert Victoire, Sivakumar Jaikumar, et al.
PLoS ONE (2022) Vol. 17, Iss. 9, pp. e0273632-e0273632
Open Access | Times Cited: 12
Ultra-short-term photovoltaic power prediction based on modal reconstruction and BiLSTM-CNN-Attention model
Wei Liu, Qian Liu, Yulin Li
Earth Science Informatics (2024) Vol. 17, Iss. 3, pp. 2711-2725
Closed Access | Times Cited: 2
Short-term Prediction of PV Power Based on Combined Modal Decomposition and NARX-LSTM-LightGBM
Hongbo Gao, Shuang Qiu, Jun Fang, et al.
(2023)
Open Access | Times Cited: 6
Short-Term Prediction of PV Power Based on Combined Modal Decomposition and NARX-LSTM-LightGBM
Hongbo Gao, Shuang Qiu, Jun Fang, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 8266-8266
Open Access | Times Cited: 6
Enhancing photovoltaic energy forecasting: a progressive approach using wavelet packet decomposition
Khaled Ferkous, Mawloud Guermoui, Abderahmane Bellaour, et al.
Clean Energy (2024) Vol. 8, Iss. 3, pp. 95-108
Open Access | Times Cited: 1
Short-term Photovoltaic Power Prediction based on ICEEMDAN and Optimized Deep Hybrid Kernel Extreme Learning Machine
Hao Yan
Deleted Journal (2024) Vol. 2, Iss. 3, pp. 32-46
Open Access | Times Cited: 1
A Hybrid Model Combining Similar Day Selection, Sequence Decomposition, Hyperparameter Optimization and Intelligent Prediction for Photovoltaic Power Forecasting
Tao Wang, Ye Xu, Wei Li, et al.
(2024)
Closed Access
Seasonal short-term photovoltaic power prediction based on GSK–BiGRU–XGboost considering correlation of meteorological factors
Guojiang Xiong, Jing Zhang, Xiaofan Fu, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access
Accurate Solar Pv Power Prediction Interval Method Based on Frequency-Domain Decomposition and Lstm-Svr Model
Lining Wang, Mingxuan Mao, Jili Xie, et al.
SSRN Electronic Journal (2022)
Closed Access
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