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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:

States prediction for solar power and wind speed using BBA‐SVM
Zhenlong Li, Jing Xia, An Liu, et al.
IET Renewable Power Generation (2019) Vol. 13, Iss. 7, pp. 1115-1122
Open Access | Times Cited: 22

Showing 22 citing articles:

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: 48
Wind power prediction using a novel model on wavelet decomposition-support vector machines-improved atomic search algorithm
Lingling Li, Yun-Biao Chang, Ming‐Lang Tseng, et al.
Journal of Cleaner Production (2020) Vol. 270, pp. 121817-121817
Closed Access | Times Cited: 109
A review of applications of artificial intelligent algorithms in wind farms
Yirui Wang, Yang Yu, Shuyang Cao, et al.
Artificial Intelligence Review (2019) Vol. 53, Iss. 5, pp. 3447-3500
Closed Access | Times Cited: 106
Towards Short Term Electricity Load Forecasting Using Improved Support Vector Machine and Extreme Learning Machine
Waqas Ahmad, Nasir Ayub, Tariq Ali, et al.
Energies (2020) Vol. 13, Iss. 11, pp. 2907-2907
Open Access | Times Cited: 86
A combination forecasting model of wind speed based on decomposition
Zhongda Tian, Hao Li, Feihong Li
Energy Reports (2021) Vol. 7, pp. 1217-1233
Open Access | Times Cited: 78
Modes decomposition forecasting approach for ultra-short-term wind speed
Zhongda Tian
Applied Soft Computing (2021) Vol. 105, pp. 107303-107303
Closed Access | Times Cited: 77
Artificial Intelligence and Machine Learning in Grid Connected Wind Turbine Control Systems: A Comprehensive Review
Nathan Oaks Farrar, Mohd. Hasan Ali, Dipankar Dasgupta
Energies (2023) Vol. 16, Iss. 3, pp. 1530-1530
Open Access | Times Cited: 29
Prediction of solar irradiance using convolutional neural network and attention mechanism-based long short-term memory network based on similar day analysis and an attention mechanism
Xinxing Hou, Chao Ju, Bo Wang
Heliyon (2023) Vol. 9, Iss. 11, pp. e21484-e21484
Open Access | Times Cited: 22
Short-term photovoltaic power intelligent forecasting based on XGBoost-GRU-Informer-SVR model
Xiaomin Xu, Lin Guan, Zhiyi Wang, et al.
Applied Soft Computing (2025), pp. 112768-112768
Closed Access | Times Cited: 1
An empirical analysis of applications of artificial intelligence algorithms in wind power technology innovation during 1980–2017
Mekyung Lee, Gang He
Journal of Cleaner Production (2021) Vol. 297, pp. 126536-126536
Closed Access | Times Cited: 36
Towards Electric Price and Load Forecasting Using CNN-Based Ensembler in Smart Grid
Shahzad Aslam, Nasir Ayub, Umer Farooq, et al.
Sustainability (2021) Vol. 13, Iss. 22, pp. 12653-12653
Open Access | Times Cited: 36
Ensemble approach for short term load forecasting in wind energy system using hybrid algorithm
Shweta Sengar, Xiaodong Liu
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 11, Iss. 11, pp. 5297-5314
Closed Access | Times Cited: 36
A combined wind speed prediction model based on data processing, multi-objective optimization and machine learning
He Wang, Yan Li, Min Xiong, et al.
Energy Reports (2023) Vol. 9, pp. 413-421
Open Access | Times Cited: 8
Deep learning approach for wind speed forecasts at turbine locations in a wind farm
Peng Kou, Chen Wang, Deliang Liang, et al.
IET Renewable Power Generation (2020) Vol. 14, Iss. 13, pp. 2416-2428
Open Access | Times Cited: 15
Medium-term wind power prediction based on LSTM classification aided Pelt-Neuralprophet HHO-SVM
Kaining Jia, Jing Xia, Chengyu Sun, et al.
Journal of Renewable and Sustainable Energy (2024) Vol. 16, Iss. 5
Closed Access | Times Cited: 1
Wind power prediction based on wavelet denoising and improved slime mold algorithm optimized support vector machine
Lian Lian, Kan He
Wind Engineering (2021) Vol. 46, Iss. 3, pp. 866-885
Closed Access | Times Cited: 10
An innovative forecasting model to predict wind energy
Yagang Zhang, Siqi Wang
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 49, pp. 74602-74618
Closed Access | Times Cited: 6
Substation Equipment Spare Parts’ Inventory Prediction Model Based on Remaining Useful Life
Bing Tang, Zhenguo Ma, Keqi Zhang, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 3
Imputation based wind speed forecasting technique during abrupt changes in short term scenario
Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, et al.
IET Renewable Power Generation (2024) Vol. 18, Iss. 14, pp. 2751-2772
Open Access
Short-term Wind Speed Prediction Based on Improved CEEMD-FOA-LSSVM
Minjie Li, Guige Gao
2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) (2020), pp. 974-977
Closed Access | Times Cited: 2
Forecasting Chinese Wind Power Installed Capacity Using a Novel Grey Model with Parameters Combination Optimization
Xiaoshuang Luo, Bo Zeng, Hui Li, et al.
Journal of Mathematics (2021) Vol. 2021, pp. 1-14
Open Access | Times Cited: 2
An enhancement of transformer-based architecture with randomized regularization for wind speed prediction
Tham Vo
Journal of Intelligent & Fuzzy Systems (2022) Vol. 44, Iss. 2, pp. 2525-2541
Closed Access
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