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 12 citing articles:

InfoCAVB-MemoryFormer: Forecasting of wind and photovoltaic power through the interaction of data reconstruction and data augmentation
Mingwei Zhong, J.M. Fan, Jianqiang Luo, et al.
Applied Energy (2024) Vol. 371, pp. 123745-123745
Closed Access | Times Cited: 5

Feature fusion temporal convolution: Wind power forecasting with light hyperparameter optimization
Majad Mansoor, Tao Gong, Adeel Feroz Mirza, et al.
Energy Reports (2025) Vol. 13, pp. 2468-2481
Closed Access

A hybrid error correction method based on EEMD and ConvLSTM for offshore wind power forecasting
Lokmene Melalkia, Farid Berrezzek, Khaled Khelil, et al.
Ocean Engineering (2025) Vol. 325, pp. 120773-120773
Closed Access

FTLNet: federated deep learning model for multi-horizon wind power forecasting
Majad Mansoor, Tao Gong, Adeel Feroz Mirza, et al.
Discover Internet of Things (2025) Vol. 5, Iss. 1
Open Access

Short-term wind power forecasting using integrated boosting approach
Ubaid Ahmed, Rasheed Muhammad, Syed Sami Abbas, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 3

Minute-level ultra-short-term power load forecasting based on time series data features
Chuang Wang, Haishen Zhao, Yang Liu, et al.
Applied Energy (2024) Vol. 372, pp. 123801-123801
Open Access | Times Cited: 3

Ultra-short-term wind power forecasting based on long short-term memory network with modified honey badger algorithm
Lei Guo, Chang Xu, Tianhang Yu, et al.
Energy Reports (2024) Vol. 12, pp. 3548-3565
Open Access | Times Cited: 3

Short-Term Prediction of Photovoltaic Power Based on DBSCAN-SVM Data Cleaning and PSO-LSTM Model
Yujin Liu, Zhenkai Zhang, Li Ma, et al.
Energy Engineering (2024) Vol. 121, Iss. 10, pp. 3019-3035
Open Access | Times Cited: 2

Enhancing Wind Power Forecasting Accuracy with Hybrid Deep Learning and Teaching-Learning-Based Optimization
Mohd Herwan Sulaiman, Zuriani Mustaffa
Cleaner Energy Systems (2024) Vol. 9, pp. 100139-100139
Open Access | Times Cited: 2

A Refined Wind Power Forecasting Method with High Temporal Resolution Based on Light Convolutional Neural Network Architecture
Fei Zhang, Xiaoying Ren, Yongqian Liu
Energies (2024) Vol. 17, Iss. 5, pp. 1183-1183
Open Access | Times Cited: 1

Fully connected multi-reservoir echo state networks for wind power prediction
Xianshuang Yao, Kangshuai Guo, Jianlin Lei, et al.
Energy (2024), pp. 133579-133579
Closed Access | Times Cited: 1

Short‐term energy forecasting using deep neural networks: Prospects and challenges
Shewit Tsegaye, Sanjeevikumar Padmanaban, Lina Bertling Tjernberg, et al.
The Journal of Engineering (2024) Vol. 2024, Iss. 11
Open Access

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