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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:

Probability Density Forecasting of Wind Power Based on Transformer Network with Expectile Regression and Kernel Density Estimation
Haoyi Xiao, Xiaoxia He, Chunli Li
Electronics (2023) Vol. 12, Iss. 5, pp. 1187-1187
Open Access | Times Cited: 14

Showing 14 citing articles:

Recurrent attention encoder-decoder network for multi-step interval wind power prediction
Xiaoling Ye, Cheng‐Cheng Liu, Xiong Xiong, et al.
Energy (2025), pp. 134317-134317
Closed Access
A novel chaotic time series wind power point and interval prediction method based on data denoising strategy and improved coati optimization algorithm
Chao Wang, Lin Hon, Ming Yang, et al.
Chaos Solitons & Fractals (2024) Vol. 187, pp. 115442-115442
Closed Access | Times Cited: 3
Wind power interval and point prediction model using neural network based multi-objective optimization
Jianhua Zhu, Yaoyao He, Zhiwei Gao
Energy (2023) Vol. 283, pp. 129079-129079
Closed Access | Times Cited: 8
A Bayesian Deep Learning-based Wind Power Prediction Model Considering the Whole Process of Blade Icing and De-icing
Xiaoming Liu, Jun Liu, Jiacheng Liu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 7, pp. 9141-9151
Closed Access | Times Cited: 2
KPI-related monitoring approach for powertrain system in hybrid electric vehicles
Weichen Hao, Yue Wang, Yonghui Wang, et al.
Energy Reports (2024) Vol. 11, pp. 3245-3255
Open Access | Times Cited: 2
A survey on wind power forecasting with machine learning approaches
Yang Yang, Hao Lou, Jinran Wu, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 12753-12773
Open Access | Times Cited: 2
Spatial difference analysis and dynamic evolution prediction of urban industrial integrated water use efficiency in China
Zhao Jingfeng, Sun Fan, Yan Li
Heliyon (2023) Vol. 10, Iss. 1, pp. e23797-e23797
Open Access | Times Cited: 6
Multi-step prediction of offshore wind power based on Transformer network and Huber loss
Haoyi Xiao, Xiaoxia He, Chunli Li
International Journal of Electrical Power & Energy Systems (2024) Vol. 162, pp. 110229-110229
Open Access | Times Cited: 1
Electromagnetic Vibration Characteristics of Inter-Turn Short Circuits in High Frequency Transformer
Haibo Ding, Wenliang Zhao, Chengwu Diao, et al.
Electronics (2023) Vol. 12, Iss. 8, pp. 1884-1884
Open Access | Times Cited: 3
Wind power forecasting based on manifold learning and a double-layer SWLSTM model
Cong Wang, Yan He, Hongli Zhang, et al.
Energy (2023) Vol. 290, pp. 130076-130076
Closed Access | Times Cited: 3
Multi-Step Prediction of Offshore Wind Power Based on Transformer Network and Huber Loss
Xiaoxia He, Haoyi Xiao, Chunli Li
(2024)
Closed Access
A Bayesian Deep Learning-Based Adaptive Wind Farm Power Prediction Method Within the Entire Life Cycle
Xiaoming Liu, Jun Liu, Yu Zhao, et al.
IEEE Transactions on Sustainable Energy (2024) Vol. 15, Iss. 4, pp. 2663-2674
Closed Access
A study of short-term wind power segmentation forecasting method considering weather on ramp segments
Chunxiang Yang, Guodong Wu, Yongrui Zhang, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Spatial Difference Analysis and Dynamic Evolution Prediction of Urban Industrial Integrated Water Use Efficiency in China
Zhao Jing Feng, Sun Fan
(2023)
Closed Access
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