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.

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Showing 8 citing articles:

Hybrid Transformer Model with Liquid Neural Networks and Learnable Encodings for Buildings’ Energy Forecasting
Antonesi Gabriel, Tudor Cioara, Ionuț Anghel, et al.
Energy and AI (2025), pp. 100489-100489
Open Access | Times Cited: 1

Ultra-Short-Term Photovoltaic Power Prediction by NRGA-BiLSTM Considering Seasonality and Periodicity of Data
Hong Wu, Haipeng Liu, Huaiping Jin, et al.
Energies (2024) Vol. 17, Iss. 18, pp. 4739-4739
Open Access | Times Cited: 4

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

A Deep Learning Quantile Regression Photovoltaic Power-Forecasting Method under a Priori Knowledge Injection
Xiaoying Ren, Yongqian Liu, Fei Zhang, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4026-4026
Open Access | Times Cited: 3

Prediction Method of PHEV Driving Energy Consumption Based on the Optimized CNN BiLSTM Attention Network
Xuezhao Zhang, Zijie Chen, Wenxiao Wang, et al.
Energies (2024) Vol. 17, Iss. 12, pp. 2959-2959
Open Access | Times Cited: 2

Exploring Sustainable Development of New Power Systems under Dual Carbon Goals: Control, Optimization, and Forecasting
Bo Yang, Jinhang Duan, Zhijian Liu, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 3909-3909
Open Access

A new method for short-term photovoltaic power generation forecast based on ensemble model
Yunxiu Zhang, Bingxian Li, Zhiyin Han
AIP Advances (2024) Vol. 14, Iss. 9
Open Access

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