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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:

Wind speed prediction using a hybrid model of EEMD and LSTM considering seasonal features
Yi Yan, Xuerui Wang, Fei Ren, et al.
Energy Reports (2022) Vol. 8, pp. 8965-8980
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Wind speed prediction by a swarm intelligence based deep learning model via signal decomposition and parameter optimization using improved chimp optimization algorithm
Leiming Suo, Peng Tian, Shihao Song, et al.
Energy (2023) Vol. 276, pp. 127526-127526
Closed Access | Times Cited: 67
Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition
Sinvaldo Rodrigues Moreno, Laio Oriel Seman, Stéfano Frizzo Stefenon, et al.
Energy (2024) Vol. 292, pp. 130493-130493
Closed Access | Times Cited: 45
WGformer: A Weibull-Gaussian Informer based model for wind speed prediction
Ziyi Shi, Li Jia, Zheyuan Jiang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107891-107891
Closed Access | Times Cited: 10
A hybrid wind speed prediction model using improved CEEMDAN and Autoformer model with auto-correlation mechanism
Bala Saibabu Bommidi, Kiran Teeparthi
Sustainable Energy Technologies and Assessments (2024) Vol. 64, pp. 103687-103687
Closed Access | Times Cited: 10
Time series forecasting model for non-stationary series pattern extraction using deep learning and GARCH modeling
Huimin Han, Zehua Liu, Mauricio Barrios, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 9
BO-STA-LSTM: Building energy prediction based on a Bayesian Optimized Spatial-Temporal Attention enhanced LSTM method
Guannan Li, Yong Wang, Chengliang Xu, et al.
Developments in the Built Environment (2024) Vol. 18, pp. 100465-100465
Open Access | Times Cited: 8
Dynamic real-time forecasting technique for reclaimed water volumes in urban river environmental management
Lina Zhang, Chao Wang, Wenbin Hu, et al.
Environmental Research (2024) Vol. 248, pp. 118267-118267
Closed Access | Times Cited: 7
Simultaneous forecasting of wind speed for multiple stations based on attribute-augmented spatiotemporal graph convolutional network and tree-structured parzen estimator
Chu Zhang, Xiujie Qiao, Zhao Zhang, et al.
Energy (2024) Vol. 295, pp. 131058-131058
Closed Access | Times Cited: 7
Research and application of an evolutionary deep learning model based on improved grey wolf optimization algorithm and DBN-ELM for AQI prediction
Yiman Li, Peng Tian, Lei Hua, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104209-104209
Closed Access | Times Cited: 35
A Hybrid Framework Using PCA, EMD and LSTM Methods for Stock Market Price Prediction with Sentiment Analysis
Krittakom Srijiranon, Yoskorn Lertratanakham, Tanatorn Tanantong
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10823-10823
Open Access | Times Cited: 28
Stock price predictive analysis: An application of hybrid Barnacles Mating Optimizer with Artificial Neural Network
Zuriani Mustaffa, Mohd Herwan Sulaiman
International Journal of Cognitive Computing in Engineering (2023) Vol. 4, pp. 109-117
Open Access | Times Cited: 20
Wind Speed Prediction Using Chicken Swarm Optimization with Deep Learning Model
R. Surendran, Youseef Alotaibi, Ahmad F. Subahi
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 3, pp. 3371-3386
Open Access | Times Cited: 19
Hybrid GNSS time-series prediction method based on ensemble empirical mode decomposition with long short-term memory
Yu Zhou, Xiaoxing He, Shengdao Wang, et al.
Deleted Journal (2025) Vol. 7, Iss. 1
Open Access
Explainable energy consumption and speed prediction in sustainable cities using deep learning
Eman I. Abd El-Latif, M. A. El-Dosuky
Neural Computing and Applications (2025)
Open Access
WindForecastX: a dynamic approach for accurate long-term wind speed prediction in wind energy applications
Sasi Rekha Sankar, P. Madhavan
Ocean Dynamics (2025) Vol. 75, Iss. 1
Closed Access
Multi-Step Forecasting of Meteorological Time Series Using CNN-LSTM with Decomposition Methods
Eluã Ramos Coutinho, Jonni Guiller Ferreira Madeira, Dérick G. F. Borges, et al.
Water Resources Management (2025)
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
Enhancing Grid Integration of Renewable Energy Sources for Micro grid Stability using Forecasting and Optimal Dispatch Strategies
S. Senthil Kumar, C. Srinivasan, S. Balavignesh
Energy (2025), pp. 135572-135572
Closed Access
Centralized decomposition approach in LSTM for Bitcoin price prediction
Eunho Koo, Geonwoo Kim
Expert Systems with Applications (2023) Vol. 237, pp. 121401-121401
Closed Access | Times Cited: 15
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
A novel Bagged-CNN architecture for short-term wind power forecasting
Sachin Mulewa, Azan M Parmar, Ashoke De
International Journal of Green Energy (2024) Vol. 21, Iss. 12, pp. 2712-2723
Closed Access | Times Cited: 4
Ultra-short-term wind power prediction model based on fixed scale dual mode decomposition and deep learning networks
Jiuyuan Huo, Jihao Xu, Chen Chang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108501-108501
Closed Access | Times Cited: 4
Linear сombination of AR(1), MA(q) models with minimal forecast variance
Danila Musatov, D. A. Petrusevich
AIP conference proceedings (2025) Vol. 3268, pp. 020013-020013
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
Ultra-short-term wind speed hybrid forecasting model based on maximal information coefficient-optimized TVF-EMD and resTKAN
Chenglin Yang, Wenyu Zhang, Jing Ren, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 4
Closed Access
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