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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:

A novel offshore wind farm typhoon wind speed prediction model based on PSO–Bi-LSTM improved by VMD
Jiale Li, Zihao Song, Xuefei Wang, et al.
Energy (2022) Vol. 251, pp. 123848-123848
Closed Access | Times Cited: 119

Showing 26-50 of 119 citing articles:

Research on Typhoon Prediction by Integrating Numerical Simulation and Deep Learning Methods
Tianyi Lv, Huaming Yu, Li‐Ching Lin, et al.
Atmosphere (2025) Vol. 16, Iss. 1, pp. 111-111
Open Access
Forecasting of Tropical Storm Wind Speeds Based on Multi-Step Differencing and Artificial Neural Network
Tianyou Tao, Peng Deng, Fan Xu, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 2, pp. 372-372
Open Access
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 Wind Speed Prediction Method Based on Signal Decomposition Technology Deep Learning Model
Jie Du, S. C. Chen, Linlin Pan, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1136-1136
Open Access
Wind speed forecasting using deep learning and preprocessing techniques
E. EL-DEEN Ammar, George Xydis
International Journal of Green Energy (2023) Vol. 21, Iss. 5, pp. 988-1016
Closed Access | Times Cited: 12
An Improved VMD-LSTM Model for Time-Varying GNSS Time Series Prediction with Temporally Correlated Noise
Hongkang Chen, Tieding Lu, Jiahui Huang, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3694-3694
Open Access | Times Cited: 12
The prediction model of water level in front of the check gate of the LSTM neural network based on AIW-CLPSO
Linqing Gao, Dengzhe Ha, Litao Ma, et al.
Journal of Combinatorial Optimization (2024) Vol. 47, Iss. 2
Closed Access | Times Cited: 4
Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 4
A synchronized multi-step wind speed prediction with adaptive features and parameters selection: Insights from an interaction model
Wenxin Xia, Jinxing Che, Kun Hu, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124764-124764
Closed Access | Times Cited: 4
Enhancing real-time and day-ahead load forecasting accuracy with deep learning and weighed ensemble approach
Zeyu Li, Zhirui Tian
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network
Muyuan Du, Zhimeng Zhang, Chunning Ji
Energies (2025) Vol. 18, Iss. 3, pp. 542-542
Open Access
A point-interval wind speed prediction model based on entropy clustering and hybrid optimization weighted strategy
Jujie Wang, Shuqin Shu, Shulian Xu
Renewable Energy (2025), pp. 122653-122653
Closed Access
Energy capture efficiency enhancement for PMVG based-wind turbine systems through yaw control using wind direction prediction
Ameerkhan Abdul Basheer, Jeong Jae Hoon, Seong Ryong Lee, et al.
Electric Power Systems Research (2025) Vol. 243, pp. 111490-111490
Closed Access
Short-term significant wave height prediction using adaptive variational mode decomposition and error-compensation model
Junheng Pang, Sheng Dong
Applied Ocean Research (2025) Vol. 158, pp. 104519-104519
Open Access
Data-driven wind-induced response prediction for slender civil infrastructure: Progress, challenges and opportunities
Yiming Zhang, Haoqing Li, Hao Wang
Structures (2025) Vol. 74, pp. 108650-108650
Closed Access
The CNN-GRU model with frequency analysis module for sea surface temperature prediction
Ying Han, Kaiqiang Sun, Jianing Yan, et al.
Soft Computing (2023) Vol. 27, Iss. 13, pp. 8711-8720
Open Access | Times Cited: 12
A Hybrid Neural Network Model for Short-Term Wind Speed Forecasting
Sheng-Xiang Lv, Lin Wang, Sirui Wang
Energies (2023) Vol. 16, Iss. 4, pp. 1841-1841
Open Access | Times Cited: 11
An adaptive variational mode decomposition for wind power prediction using convolutional block attention deep learning network
Anbo Meng, Zhifeng Xie, Jianqiang Luo, et al.
Energy (2023) Vol. 282, pp. 128945-128945
Closed Access | Times Cited: 11
A novel spatio-temporal wind speed forecasting method based on the microscale meteorological model and a hybrid deep learning model
Dongqin Zhang, Gang Hu, Jie Song, et al.
Energy (2023) Vol. 288, pp. 129823-129823
Closed Access | Times Cited: 11
Hybrid forecasting system considering the influence of seasonal factors under energy sustainable development goals
Guomin Li, Zhiya Pan, Zihan Qi, et al.
Measurement (2023) Vol. 211, pp. 112607-112607
Closed Access | Times Cited: 10
A novel hybrid model based on multiple influencing factors and temporal convolutional network coupling ReOSELM for wind power prediction
Yida Ge, Chu Zhang, Yiwei Wang, et al.
Energy Conversion and Management (2024) Vol. 313, pp. 118632-118632
Closed Access | Times Cited: 3
A new multi-objective ensemble wind speed forecasting system: Mixed-frequency interval-valued modeling paradigm
Wendong Yang, Xinyi Zang, C.L. Wu, et al.
Energy (2024) Vol. 304, pp. 131963-131963
Closed Access | Times Cited: 3
TRNet: A trend and residual network utilizing novel hilly attention mechanism for wind speed prediction in complex scenario
Peiming Shi, Shengmao Lin, Dongran Song, et al.
Energy (2024) Vol. 309, pp. 133103-133103
Closed Access | Times Cited: 3
Short-term wind power prediction method based on multivariate signal decomposition and RIME optimization algorithm
Y. Wang, Lili Pei, Wei Li, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125376-125376
Closed Access | Times Cited: 3
A day-ahead wind speed correction method: Enhancing wind speed forecasting accuracy using a strategy combining dynamic feature weighting with multi-source information and dynamic matching with improved similarity function
Mao Yang, Yunfeng Guo, Bo Wang, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125724-125724
Closed Access | Times Cited: 3

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