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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:

Near real-time wind speed forecast model with bidirectional LSTM networks
Lionel Joseph, Ravinesh C. Deo, Ramendra Prasad, et al.
Renewable Energy (2023) Vol. 204, pp. 39-58
Closed Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Short-term wind power prediction based on two-layer decomposition and BiTCN-BiLSTM-attention model
Dongdong Zhang, Baian Chen, Hongyu Zhu, et al.
Energy (2023) Vol. 285, pp. 128762-128762
Closed Access | Times Cited: 71
A dual-optimization wind speed forecasting model based on deep learning and improved dung beetle optimization algorithm
Yanhui Li, Kaixuan Sun, Qi Yao, et al.
Energy (2023) Vol. 286, pp. 129604-129604
Closed Access | Times Cited: 66
High and low frequency wind power prediction based on Transformer and BiGRU-Attention
Shuangxin Wang, Jiarong Shi, Wei Yang, et al.
Energy (2023) Vol. 288, pp. 129753-129753
Closed Access | Times Cited: 42
Enhancing short-term wind speed prediction based on an outlier-robust ensemble deep random vector functional link network with AOA-optimized VMD
Chu Zhang, Zhengbo Li, Yida Ge, et al.
Energy (2024) Vol. 296, pp. 131173-131173
Closed Access | Times Cited: 20
Interpretable wind speed forecasting with meteorological feature exploring and two-stage decomposition
Binrong Wu, Sihao Yu, Lu Peng, et al.
Energy (2024) Vol. 294, pp. 130782-130782
Closed Access | Times Cited: 17
A novel model for ultra-short term wind power prediction based on Vision Transformer
Ling Xiang, Xiaomengting Fu, Qingtao Yao, et al.
Energy (2024) Vol. 294, pp. 130854-130854
Closed Access | Times Cited: 16
Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables
Wenjun Jiang, Bo Liu, Yang Liang, et al.
Applied Energy (2023) Vol. 353, pp. 122155-122155
Closed Access | Times Cited: 37
Multistep short-term wind power forecasting model based on secondary decomposition, the kernel principal component analysis, an enhanced arithmetic optimization algorithm, and error correction
Guolian Hou, Junjie Wang, Yuzhen Fan
Energy (2023) Vol. 286, pp. 129640-129640
Closed Access | Times Cited: 37
Towards smart energy management for community microgrids: Leveraging deep learning in probabilistic forecasting of renewable energy sources
Jhon J. Quiñones, Luis R. Pineda, Jason K. Ostanek, et al.
Energy Conversion and Management (2023) Vol. 293, pp. 117440-117440
Open Access | Times Cited: 27
Two-stage decomposition and temporal fusion transformers for interpretable wind speed forecasting
Binrong Wu, Lin Wang
Energy (2023) Vol. 288, pp. 129728-129728
Closed Access | Times Cited: 26
Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model
Lionel Joseph, Ravinesh C. Deo, David Casillas-Pérez, et al.
Applied Energy (2024) Vol. 359, pp. 122624-122624
Open Access | Times Cited: 15
Estimating reference crop evapotranspiration using improved convolutional bidirectional long short-term memory network by multi-head attention mechanism in the four climatic zones of China
Juan Dong, Liwen Xing, Ningbo Cui, et al.
Agricultural Water Management (2024) Vol. 292, pp. 108665-108665
Open Access | Times Cited: 14
A comprehensive review on the development of data-driven methods for wind power prediction and AGC performance evaluation in wind–thermal bundled power systems
Shuai Wang, Bin Li, Guanzheng Li, et al.
Energy and AI (2024) Vol. 16, pp. 100336-100336
Open Access | Times Cited: 10
Towards a Data-Driven Predictive Framework
Doha Haidar, Salma Mouatassim, Rajaa Benabbou, et al.
Practice, progress, and proficiency in sustainability (2025), pp. 219-296
Closed Access | Times Cited: 1
Improving Short-Term Photovoltaic Power Generation Forecasting with a Bidirectional Temporal Convolutional Network Enhanced by Temporal Bottlenecks and Attention Mechanisms
Jianhong Gan, Xi Lin, Tinghui Chen, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 214-214
Open Access | Times Cited: 1
A new perspective of wind speed forecasting: Multi-objective and model selection-based ensemble interval-valued wind speed forecasting system
Hao Yan, Xiaodi Wang, Jianzhou Wang, et al.
Energy Conversion and Management (2023) Vol. 299, pp. 117868-117868
Closed Access | Times Cited: 22
Ultra-short-term wind power prediction method combining financial technology feature engineering and XGBoost algorithm
Shijie Guan, Yongsheng Wang, Limin Liu, et al.
Heliyon (2023) Vol. 9, Iss. 6, pp. e16938-e16938
Open Access | Times Cited: 20
A new intelligent hybrid forecasting method for power load considering uncertainty
Guo‐Feng Fan, Ying-Ying Han, Jingjing Wang, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 111034-111034
Closed Access | Times Cited: 20
Robust multi-step wind speed forecasting based on a graph-based data reconstruction deep learning method
Ke Wang, Xiaoyu Tang, Shumian Zhao
Expert Systems with Applications (2023) Vol. 238, pp. 121886-121886
Closed Access | Times Cited: 18
A novel selective ensemble system for wind speed forecasting: From a new perspective of multiple predictors for subseries
Sibo Yang, Wendong Yang, Xiaodi Wang, et al.
Energy Conversion and Management (2023) Vol. 294, pp. 117590-117590
Closed Access | Times Cited: 17
Advancing air quality prediction models in urban India: a deep learning approach integrating DCNN and LSTM architectures for AQI time-series classification
Anurag Barthwal, Amit Kumar Goel
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 2, pp. 2935-2955
Closed Access | Times Cited: 8
Ensemble optimization approach based on hybrid mode decomposition and intelligent technology for wind power prediction system
Yagang Zhang, Hui Wang, Jingchao Wang, et al.
Energy (2024) Vol. 292, pp. 130492-130492
Closed Access | Times Cited: 7
A parallel differential learning ensemble framework based on enhanced feature extraction and anti-information leakage mechanism for ultra-short-term wind speed forecast
Jujie Wang, Yafen Liu, Yaning Li
Applied Energy (2024) Vol. 361, pp. 122909-122909
Closed Access | Times Cited: 7
A novel dynamic spatio-temporal graph convolutional network for wind speed interval prediction
Zhengganzhe Chen, Bin Zhang, Chenglong Du, et al.
Energy (2024) Vol. 294, pp. 130930-130930
Closed Access | Times Cited: 7
Construction Project Cost Prediction Method Based on Improved BiLSTM
Chaoxue Wang, Jiale Qiao
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 978-978
Open Access | Times Cited: 6
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