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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:

Arctic short-term wind speed forecasting based on CNN-LSTM model with CEEMDAN
Qingyang Li, Guosong Wang, Xinrong Wu, et al.
Energy (2024) Vol. 299, pp. 131448-131448
Closed Access | Times Cited: 22

Showing 22 citing articles:

A novel heat load prediction model of district heating system based on hybrid whale optimization algorithm (WOA) and CNN-LSTM with attention mechanism
Xuyang Cui, Junda Zhu, Lifu Jia, et al.
Energy (2024), pp. 133536-133536
Closed Access | Times Cited: 16
Investigation of Lamb wave modes recognition and acoustic emission source localization for steel plate based on golden jackal optimization VMD parameters and CWT
Shishang Dong, Jun You, MOHAMED EL-ATTAOUY, et al.
Measurement (2024), pp. 116103-116103
Closed Access | Times Cited: 4
A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning
Yan Chen, Miaolin Yu, Haochong Wei, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 580-580
Open Access
The CEEMDAN-EWT-CNN-GRU-SVM Model: A Robust Framework for Decomposing Non-Stationary Time Series, Extracting Data features, and Predicting Solar Radiation
Sharareh Pourebrahim, Akram Seifi, Mohammad Ehteram, et al.
Results in Engineering (2025), pp. 104267-104267
Open Access
Optimization of deterministic and probabilistic forecasting for wind power based on ensemble learning
Sen Wang, Yonghui Sun, Wenjie Zhang, et al.
Energy (2025), pp. 134884-134884
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
Medium-term offshore wind speed multi-step forecasting based on VMD and GRU-MATNet model
Shibao Li, Liang Guo, Jun Zhu, et al.
Ocean Engineering (2025) Vol. 325, pp. 120737-120737
Closed Access
LSTM Model Combined with Rolling Empirical Mode Decomposition and Sample Entropy Reconstruction for Short-Term Wind Speed Forecasting
Sen Yao, Hong Zhu, Xin Zhou, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 819-819
Open Access
State identification of floating reactor control Rod drive mechanism based on similar state signal reconstruction and multiple convolutional neural networks
Zhilong Liu, Qinchao Wang, Tongxi Li, et al.
Measurement (2025), pp. 117359-117359
Closed Access
A novel wind speed prediction model based on neural networks, wavelet transformation, mutual information, and coot optimization algorithm
Faezeh Amirteimoury, Farshid Keynia, Elaheh Amirteimoury, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Integrating signal pairing evaluation metrics with deep learning for wind power forecasting through coupled multiple modal decomposition and aggregation
Yunbing Liu, Jie Dai, Guici Chen, et al.
Knowledge-Based Systems (2025), pp. 113394-113394
Closed Access
Multivariate short-term wind speed prediction based on CNN-LSTM-SA models
Ke Ding, Weiqing Wang
Journal of Physics Conference Series (2025) Vol. 2993, Iss. 1, pp. 012033-012033
Open Access
A physics-constrained deep learning framework enhanced with signal decomposition for accurate short-term photovoltaic power generation forecasting
Xifeng Gao, Yining Zang, Qian Ma, et al.
Energy (2025), pp. 136220-136220
Closed Access
A hybrid wind speed forecasting model with rolling mapping decomposition and temporal convolutional networks
Xiangjun Cai, Dagang Li, Yunfeng Zou, et al.
Energy (2025) Vol. 324, pp. 135673-135673
Closed Access
Rime-Optimized Ceemdan-Lstm Framework for Semg Prediction: Cross Subjects, Tasks and Ages Study
Q. L. Xiu, Ying Wang, Xiaoling Chen, et al.
(2025)
Closed Access
A Novel Hybrid Ensemble Wind Speed Forecasting Model Employing Wavelet Transform and Deep Learning
Vishnu Namboodiri, Rahul Goyal
Computers & Electrical Engineering (2024) Vol. 121, pp. 109820-109820
Closed Access | Times Cited: 3
Decomposition prediction fractional-order active disturbance rejection control deep Q network for generation control of integrated energy systems
Quan Lü, Wenxuan Huang, Linfei Yin
Applied Energy (2024) Vol. 377, pp. 124773-124773
Closed Access | Times Cited: 2
Decomposition based deep projection-encoding echo state network for multi-scale and multi-step wind speed prediction
Tao Li, Zhijun Guo, Qian Li
Expert Systems with Applications (2024), pp. 126074-126074
Closed Access | Times Cited: 1
Multidimensional dynamic attention for multivariate time series forecasting
Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, et al.
Applied Soft Computing (2024), pp. 112350-112350
Open Access
Multi-step ahead wind speed forecasting approach coupling PSR, NNCT-based multi-model fusion and a new optimization algorithm
Zhihao Shang, Yanhua Chen, Quan Wen, et al.
Renewable Energy (2024), pp. 121992-121992
Closed Access
Predicting photovoltaic greenhouse irradiance at low-latitudes of plateau based on ultra-short-term time series
Yinlong Zhu, Guoliang Li, Yonglei Jiang, et al.
Renewable Energy (2024), pp. 122053-122053
Closed Access
Advancements in evaporation prediction: introducing the Gated Recurrent Unit–Multi-Kernel Extreme Learning Machine (MKELM)–Gaussian Process Regression (GPR) model
Sharareh Pourebrahim, Mohammad Ehteram, Mehrdad Hadipour, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access
Research on Low-Voltage Ride-Through and Intelligent Optimization Control of Wind Turbines Based on Hybrid Power Prediction Models
Xianlong Su, Jinming Gao
Electronics (2024) Vol. 13, Iss. 24, pp. 4886-4886
Open Access
Wind speed prediction model based on multiscale temporal‐preserving embedding broad learning system
Jiayi Qiu, Yatao Shen, Ziwen Gu, et al.
IET Energy Systems Integration (2024)
Closed Access
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