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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 hybrid methodology using VMD and disentangled features for wind speed forecasting
Srihari Parri, Kiran Teeparthi, Vishalteja Kosana
Energy (2023) Vol. 288, pp. 129824-129824
Closed Access | Times Cited: 20

Showing 20 citing articles:

Football team training algorithm: A novel sport-inspired meta-heuristic optimization algorithm for global optimization
Zhirui Tian, Gai Mei
Expert Systems with Applications (2024) Vol. 245, pp. 123088-123088
Closed Access | Times Cited: 38
LSTM Short-Term Wind Power Prediction Method Based on Data Preprocessing and Variational Modal Decomposition for Soft Sensors
Peng Lei, Fanglan Ma, Changsheng Zhu, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2521-2521
Open Access | Times Cited: 9
Composite denoising-based LSTM prediction method of supercapacitor performance degradation law and remaining useful life
Yanming Zhao, Jinhao Wu, Yongbo Zhu, et al.
Circuit World (2025)
Closed Access
A hybrid system with optimized decomposition on random deep learning model for crude oil futures forecasting
Jie Wang, Ying Zhang
Expert Systems with Applications (2025), pp. 126706-126706
Closed Access
A hybrid ultra-short-term wind speed prediction model using adaptive VMD and Time-Series Mixer
Xiaoxia Wang, Pu Liu, Qingyi Liu, et al.
International Journal of Green Energy (2025), pp. 1-19
Closed Access
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
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
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
Data denoising and deep learning prediction for the wind speed based on NOA optimization
Xinyi Xu, Shaojuan Ma, Cheng Huang
Research Square (Research Square) (2024)
Closed Access | Times Cited: 1
A VMD-LSTNet-Attention model for concentration prediction of mixed gases
W. S. Gan, Ruilong Ma, Wenlong Zhao, et al.
Sensors and Actuators B Chemical (2024) Vol. 422, pp. 136641-136641
Closed Access | Times Cited: 1
A spatial transfer-based hybrid model for wind speed forecasting
Xin Chen, Xiaoling Ye, Jian Shi, et al.
Energy (2024), pp. 133920-133920
Closed Access | Times Cited: 1
Adaptive temporal transformer method for short-term wind power forecasting considering shift in time series distribution
Dan Li, Yue Hu, Shuwei Miao, et al.
AIP Advances (2024) Vol. 14, Iss. 2
Open Access
Using Stacking Ensemble Learning to Predict Multi-Step Wind Speed Based on Wavelet Transformation, a Two-Steps Feature Selection Method, and Neural Networks
Faezeh Amirteimoury, Gholamreza Memarzadeh, Farshid Keynia
(2024)
Closed Access
Ultra-high-accuracy state-of-charge fusion estimation of lithium-ion batteries using variational mode decomposition
Zhihui Zhao, Farong Kou, Zhengniu Pan, et al.
Energy (2024) Vol. 309, pp. 133094-133094
Closed Access
Enhancing multi-step short-term solar radiation forecasting based on optimized generalized regularized extreme learning machine and multi-scale Gaussian data augmentation technique
Zheng Wang, Peng Tian, Xuedong Zhang, et al.
Applied Energy (2024) Vol. 377, pp. 124708-124708
Closed Access
A novel hybrid model for multi-step-ahead forecasting of wind speed based on univariate data feature enhancement
Yaqi Wang, Xiaomeng Zhao, Zheng Li, et al.
Energy (2024), pp. 133515-133515
Closed Access
A state-of-the-art analysis on decomposition method for short-term wind speed forecasting using LSTM and a novel hybrid deep learning model
Yang Liang, Dongqin Zhang, Jize Zhang, et al.
Energy (2024) Vol. 313, pp. 133826-133826
Closed Access
Photovoltaic output prediction based on VMD disturbance feature extraction and WaveNet
ShouSheng Zhao, Xiaofeng Yang, Kangyi Li, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Using stacking ensemble learning to predict multi-step wind speed based on wavelet transformation, two-steps feature selection method, and neural networks
Faezeh Amirteimoury, Gholamreza Memarzadeh, Farshid Keynia
Measurement (2024) Vol. 244, pp. 116500-116500
Closed Access
Development of a Hybrid AI Model for Fault Prediction in Rod Pumping System for Petroleum Well Production
A. Zhang, Yan-Long Zhao, LI Xuan-xuan, et al.
Energies (2024) Vol. 17, Iss. 21, pp. 5422-5422
Open Access
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