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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:

Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models
Jianzhou Wang, Yiliao Song, Feng Liu, et al.
Renewable and Sustainable Energy Reviews (2016) Vol. 60, pp. 960-981
Closed Access | Times Cited: 235

Showing 1-25 of 235 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: 545
A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids
Sheraz Aslam, Herodotos Herodotou, Syed Muhammad Mohsin, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 144, pp. 110992-110992
Closed Access | Times Cited: 397
A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
Tanveer Ahmad, Hongcai Zhang, Biao Yan
Sustainable Cities and Society (2020) Vol. 55, pp. 102052-102052
Closed Access | Times Cited: 368
Data processing strategies in wind energy forecasting models and applications: A comprehensive review
Hui Liu, Chao Chen
Applied Energy (2019) Vol. 249, pp. 392-408
Closed Access | Times Cited: 295
Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods
Wai Lip Theo, Jeng Shiun Lim, Wai Shin Ho, et al.
Renewable and Sustainable Energy Reviews (2016) Vol. 67, pp. 531-573
Closed Access | Times Cited: 267
Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction
Ming-De Liu, Lin Ding, Yulong Bai
Energy Conversion and Management (2021) Vol. 233, pp. 113917-113917
Closed Access | Times Cited: 263
Wind power forecasting using attention-based gated recurrent unit network
Zhewen Niu, Zeyuan Yu, Wenhu Tang, et al.
Energy (2020) Vol. 196, pp. 117081-117081
Closed Access | Times Cited: 252
Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods
Hui Liu, Chao Chen, Xinwei Lv, et al.
Energy Conversion and Management (2019) Vol. 195, pp. 328-345
Closed Access | Times Cited: 250
Approaches to wind power curve modeling: A review and discussion
Yun Wang, Qinghua Hu, Linhao Li, et al.
Renewable and Sustainable Energy Reviews (2019) Vol. 116, pp. 109422-109422
Closed Access | Times Cited: 205
Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage
Daniel Rangel-Martinez, K.D.P. Nigam, Luis Ricardez‐Sandoval
Process Safety and Environmental Protection (2021) Vol. 174, pp. 414-441
Closed Access | Times Cited: 172
Prediction interval of wind power using parameter optimized Beta distribution based LSTM model
Xiaohui Yuan, Chen Chen, Min Jiang, et al.
Applied Soft Computing (2019) Vol. 82, pp. 105550-105550
Closed Access | Times Cited: 168
Multi-step wind speed prediction by combining a WRF simulation and an error correction strategy
Weifeng Xu, Pan Liu, Lei Cheng, et al.
Renewable Energy (2020) Vol. 163, pp. 772-782
Closed Access | Times Cited: 161
Short-term wind speed prediction based on LMD and improved FA optimized combined kernel function LSSVM
Zhongda Tian
Engineering Applications of Artificial Intelligence (2020) Vol. 91, pp. 103573-103573
Closed Access | Times Cited: 159
Network topology optimisation based on dynamic thermal rating and battery storage systems for improved wind penetration and reliability
Ching‐Ming Lai, Jiashen Teh
Applied Energy (2021) Vol. 305, pp. 117837-117837
Closed Access | Times Cited: 158
A review on multi-objective optimization framework in wind energy forecasting techniques and applications
Hui Liu, Ye Li, Zhu Duan, et al.
Energy Conversion and Management (2020) Vol. 224, pp. 113324-113324
Closed Access | Times Cited: 156
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: 133
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: 131
A comprehensive review on deep learning approaches in wind forecasting applications
Zhou Wu, Gan Luo, Zhile Yang, et al.
CAAI Transactions on Intelligence Technology (2022) Vol. 7, Iss. 2, pp. 129-143
Open Access | Times Cited: 93
Novel wind speed forecasting model based on a deep learning combined strategy in urban energy systems
Hao Yan, Wendong Yang, Kedong Yin
Expert Systems with Applications (2023) Vol. 219, pp. 119636-119636
Closed Access | Times Cited: 42
The univariate model for long-term wind speed forecasting based on wavelet soft threshold denoising and improved Autoformer
Guihua Ban, Yan Chen, Zhenhua Xiong, et al.
Energy (2024) Vol. 290, pp. 130225-130225
Closed Access | Times Cited: 17
An overview of performance evaluation metrics for short-term statistical wind power forecasting
Juan Manuel González Sopeña, Vikram Pakrashi, Bidisha Ghosh
Renewable and Sustainable Energy Reviews (2020) Vol. 138, pp. 110515-110515
Open Access | Times Cited: 123
Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm
Hui Liu, Zhu Duan, Feng-ze Han, et al.
Energy Conversion and Management (2017) Vol. 156, pp. 525-541
Closed Access | Times Cited: 119
Research and application of a hybrid model based on multi-objective optimization for electrical load forecasting
Li‐Ye Xiao, Wei Shao, Chen Wang, et al.
Applied Energy (2016) Vol. 180, pp. 213-233
Closed Access | Times Cited: 112
Smart wind speed forecasting approach using various boosting algorithms, big multi-step forecasting strategy
Yanfei Li, Huipeng Shi, Feng-ze Han, et al.
Renewable Energy (2018) Vol. 135, pp. 540-553
Closed Access | Times Cited: 106
Day-ahead wind power forecasting based on the clustering of equivalent power curves
Mao Yang, Chaoyu Shi, Huiyu Liu
Energy (2020) Vol. 218, pp. 119515-119515
Closed Access | Times Cited: 105
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