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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 combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting
Ping Jiang, Zhenkun Liu, Xinsong Niu, et al.
Energy (2020) Vol. 217, pp. 119361-119361
Closed Access | Times Cited: 195

Showing 1-25 of 195 citing articles:

A review of wind speed and wind power forecasting with deep neural networks
Yun Wang, Runmin Zou, Fang Liu, et al.
Applied Energy (2021) Vol. 304, pp. 117766-117766
Closed Access | Times Cited: 560
Interpretable wind speed prediction with multivariate time series and temporal fusion transformers
Binrong Wu, Lin Wang, Yu‐Rong Zeng
Energy (2022) Vol. 252, pp. 123990-123990
Closed Access | Times Cited: 154
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm
Zhenkun Liu, Ping Jiang, Jianzhou Wang, et al.
Expert Systems with Applications (2021) Vol. 177, pp. 114974-114974
Closed Access | Times Cited: 144
Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks
Dan Li, Fuxin Jiang, Min Chen, et al.
Energy (2021) Vol. 238, pp. 121981-121981
Closed Access | Times Cited: 140
Load Forecasting Techniques for Power System: Research Challenges and Survey
Naqash Ahmad, Yazeed Yasin Ghadi, Muhammad Adnan, et al.
IEEE Access (2022) Vol. 10, pp. 71054-71090
Open Access | Times Cited: 138
Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges
Peng Lu, Lin Ye, Yongning Zhao, et al.
Applied Energy (2021) Vol. 301, pp. 117446-117446
Closed Access | Times Cited: 136
New developments in wind energy forecasting with artificial intelligence and big data: a scientometric insight
Erlong Zhao, Shaolong Sun, Shouyang Wang
Data Science and Management (2022) Vol. 5, Iss. 2, pp. 84-95
Open Access | Times Cited: 122
Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model
Dongxiao Niu, Lijie Sun, Min Yu, et al.
Energy (2022) Vol. 254, pp. 124384-124384
Closed Access | Times Cited: 113
Boosted ANFIS model using augmented marine predator algorithm with mutation operators for wind power forecasting
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Hong Fan, et al.
Applied Energy (2022) Vol. 314, pp. 118851-118851
Closed Access | Times Cited: 103
Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization
Sheng-Xiang Lv, Lin Wang
Applied Energy (2022) Vol. 311, pp. 118674-118674
Closed Access | Times Cited: 87
Deep learning for renewable energy forecasting: A taxonomy, and systematic literature review
Changtian Ying, Weiqing Wang, Jiong Yu, et al.
Journal of Cleaner Production (2022) Vol. 384, pp. 135414-135414
Closed Access | Times Cited: 76
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: 69
Short-term wind power forecasting model based on temporal convolutional network and Informer
Mingju Gong, Changcheng Yan, Wei Xu, et al.
Energy (2023) Vol. 283, pp. 129171-129171
Closed Access | Times Cited: 57
Learning based short term wind speed forecasting models for smart grid applications: An extensive review and case study
Vikash Kumar Saini, Rajesh Kumar, Ameena Saad Al‐Sumaiti, et al.
Electric Power Systems Research (2023) Vol. 222, pp. 109502-109502
Closed Access | Times Cited: 51
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: 51
Decomposition-based wind speed forecasting model using causal convolutional network and attention mechanism
Zhihao Shang, Yao Chen, Yanhua Chen, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119878-119878
Closed Access | Times Cited: 43
Extreme weather events on energy systems: a comprehensive review on impacts, mitigation, and adaptation measures
Ana Gonçalves, X. Costoya, Raquel Nieto, et al.
Sustainable Energy Research (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 34
A novel ensemble system for short-term wind speed forecasting based on hybrid decomposition approach and artificial intelligence models optimized by self-attention mechanism
Junheng Pang, Sheng Dong
Energy Conversion and Management (2024) Vol. 307, pp. 118343-118343
Closed Access | Times Cited: 25
An innovative interpretable combined learning model for wind speed forecasting
Pei Du, Dongchuan Yang, Yanzhao Li, et al.
Applied Energy (2024) Vol. 358, pp. 122553-122553
Closed Access | Times Cited: 21
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: 18
A short-term power prediction method based on numerical weather prediction correction and the fusion of adaptive spatiotemporal graph feature information for wind farm cluster
Mao Yang, Chao Han, Wei Zhang, et al.
Expert Systems with Applications (2025) Vol. 274, pp. 126979-126979
Closed Access | Times Cited: 2
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy
Wendong Yang, Shaolong Sun, Hao Yan, et al.
Energy (2021) Vol. 238, pp. 121989-121989
Closed Access | Times Cited: 102
Artificial intelligence application for the performance prediction of a clean energy community
Domenico Mazzeo, Münür Sacit Herdem, Nicoletta Matera, et al.
Energy (2021) Vol. 232, pp. 120999-120999
Closed Access | Times Cited: 94
A novel combined model for wind speed prediction – Combination of linear model, shallow neural networks, and deep learning approaches
Shuai Wang, Jianzhou Wang, Haiyan Lu, et al.
Energy (2021) Vol. 234, pp. 121275-121275
Closed Access | Times Cited: 94
Ensemble wind speed forecasting with multi-objective Archimedes optimization algorithm and sub-model selection
Lifang Zhang, Jianzhou Wang, Xinsong Niu, et al.
Applied Energy (2021) Vol. 301, pp. 117449-117449
Closed Access | Times Cited: 92
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