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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:

Offshore wind speed assessment with statistical and attention-based neural network methods based on STL decomposition
Li Xu, Yanxia Ou, Jingjing Cai, et al.
Renewable Energy (2023) Vol. 216, pp. 119097-119097
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A wind speed forcasting model based on rime optimization based VMD and multi-headed self-attention-LSTM
Wenhui Liu, Yulong Bai, xiaoxin Yue, et al.
Energy (2024) Vol. 294, pp. 130726-130726
Closed Access | Times Cited: 34
A novel hybrid STL-transformer-ARIMA architecture for aviation failure events prediction
Hang Zeng, Hongmei Zhang, Jiansheng Guo, et al.
Reliability Engineering & System Safety (2024) Vol. 246, pp. 110089-110089
Closed Access | Times Cited: 12
An attention-based multi-input LSTM with sliding window-based two-stage decomposition for wind speed forecasting
Dongchuan Yang, Mingzhu Li, Ju’e Guo, et al.
Applied Energy (2024) Vol. 375, pp. 124057-124057
Closed Access | Times Cited: 8
Short-term offshore wind speed forecasting approach based on multi-stage decomposition and deep residual network with self-attention
Hakan Açıkgöz, Deniz Korkmaz
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110313-110313
Closed Access
A multi-stage multivariable offshore wind speed assessment system incorporating statistical analysis, decomposition, feature selection, bias correction, and attention-based hybrid prediction
Jingjing Cai, Cheng Peng, Li Xu, et al.
Wind Engineering (2025)
Closed Access
A multi-scale component feature learning framework based on CNN-BiGRU and online sequential regularized extreme learning machine for wind speed prediction
Xuedong Zhang, Huanyu Zhao, Junhao Yao, et al.
Renewable Energy (2025), pp. 122427-122427
Closed Access
Enhanced prediction for battery aging capacity using an efficient temporal convolutional network
Xinwei Zhao, Yonggui Liu, Bin Xiao
Energy (2025), pp. 135043-135043
Closed Access
Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach
Sujan Ghimire, Ravinesh C. Deo, Konstantin Hopf, et al.
Energy and AI (2025), pp. 100492-100492
Open Access
Improved deep learning method and high-resolution reanalysis model-based intelligent marine navigation
Zeguo Zhang, Liang Cao, Jianchuan Yin
Frontiers in Marine Science (2025) Vol. 12
Open Access
A coupling deterministic and probabilistic wind energy prediction based on information leakage prevention and distinctive deep learning network
Jujie Wang, Yafen Liu, Shuqin Shu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110862-110862
Closed Access
Combining Seasonal and Trend Decomposition Using LOESS With a Gated Recurrent Unit for Climate Time Series Forecasting
Xiao Liu, Qianqian Zhang
IEEE Access (2024) Vol. 12, pp. 85275-85290
Open Access | Times Cited: 3
Full-scale wind turbine performance assessment using the turbine performance integral (TPI) method: a study of aerodynamic degradation and operational influences
Tahir H. Malik, Christian Bak
Wind energy science (2024) Vol. 9, Iss. 10, pp. 2017-2037
Open Access | Times Cited: 2
Revolutionizing Wind Power Prediction—The Future of Energy Forecasting with Advanced Deep Learning and Strategic Feature Engineering
Md. Ahasan Habib, M. J. Hossain
Energies (2024) Vol. 17, Iss. 5, pp. 1215-1215
Open Access | Times Cited: 1
Short-Term Marine Wind Speed Forecasting Based on Dynamic Graph Embedding and Spatiotemporal Information
Dibo Dong, Shangwei Wang, Qiaoying Guo, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 3, pp. 502-502
Open Access | Times Cited: 1
Double Robust Federated Digital Twin Modeling in Smart Grid
Yang Zhou, Yang Ge, Li Jia
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 39913-39931
Closed Access | Times Cited: 1
Full-Scale Wind Turbine Performance Assessment: A Study of Aerodynamic Degradation and Operational Influences
Tahir H. Malik, Christian Bak
(2024)
Open Access
Comment on wes-2024-21

(2024)
Open Access
Research on Ground Subsidence Prediction Model in Xinmi City based on TSC-LSTM
hewen Zhao, T. Chen
National Remote Sensing Bulletin (2024), pp. 1-12
Open Access
Hybrid group method of data handling for time series forecasting of thermal generation dispatch in electrical power systems
William Gouvêa Buratto, Rafael Ninno Muniz, Rodolfo Cardoso, et al.
Research Square (Research Square) (2024)
Open Access
Comment on wes-2024-21

(2024)
Open Access
Optimized Deep Learning Modelling for Predicting the Diffusion Range and State Change of Filling Projects
Ziyao Xu, Ailan Che, Hanxu Zhou, et al.
(2024)
Closed Access
Comment on wes-2024-21
Tahir H. Malik, Christian Bak
(2024)
Open Access
An Estimation of Wind Energy Potential Resources in Offshore Part of Nigeria Using Era5
Wasiu Olalekan Idris, Mohd Zamri Ibrahim, Aliashim Alibani
(2024)
Closed Access
Double Robust Federated Digital Twin Modeling in Smart Grid
Yang Zhou, Yang Ge, Jia Li
(2024)
Closed Access
Reply on RC2
Tahir Malik
(2024)
Open Access
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