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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:

Ultra-Short-Term Wind Power Prediction Based on Multivariate Phase Space Reconstruction and Multivariate Linear Regression
Rongsheng Liu, Minfang Peng, Xianghui Xiao
Energies (2018) Vol. 11, Iss. 10, pp. 2763-2763
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm
Lin Li, Xue Zhao, Ming‐Lang Tseng, et al.
Journal of Cleaner Production (2019) Vol. 242, pp. 118447-118447
Closed Access | Times Cited: 366
Very short-term forecasting of wind power generation using hybrid deep learning model
Md. Alamgir Hossain, Ripon K. Chakrabortty, Sondoss Elsawah, et al.
Journal of Cleaner Production (2021) Vol. 296, pp. 126564-126564
Open Access | Times Cited: 127
Bio-based hyperbranched epoxy resins: synthesis and recycling
Yu Jiang, Li Jiang, Dan Li, et al.
Chemical Society Reviews (2023) Vol. 53, Iss. 2, pp. 624-655
Closed Access | Times Cited: 66
Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend
Muhammad Shahzad Nazir, Fahad Alturise, Sami Alshmrany, et al.
Sustainability (2020) Vol. 12, Iss. 9, pp. 3778-3778
Open Access | Times Cited: 86
Short-term Load Forecasting of Multi-Energy in Integrated Energy System Based on Multivariate Phase Space Reconstruction and Support Vector Regression Mode
Haoming Liu, Yu Tang, Yue Pu, et al.
Electric Power Systems Research (2022) Vol. 210, pp. 108066-108066
Closed Access | Times Cited: 49
A novel wind power prediction approach using multivariate variational mode decomposition and multi-objective crisscross optimization based deep extreme learning machine
Anbo Meng, Zibin Zhu, Weisi Deng, et al.
Energy (2022) Vol. 260, pp. 124957-124957
Closed Access | Times Cited: 44
Wind power forecasting based on hybrid CEEMDAN-EWT deep learning method
Irene Karijadi, Shuo‐Yan Chou, Anindhita Dewabharata
Renewable Energy (2023) Vol. 218, pp. 119357-119357
Closed Access | Times Cited: 39
Short-Term Fault Prediction of Wind Turbines Based on Integrated RNN-LSTM
V Siva Brahmaiah Rama, Sung‐ho Hur, Jung‐Min Yang
IEEE Access (2024) Vol. 12, pp. 22465-22478
Open Access | Times Cited: 9
Chaotic characteristic analysis of network traffic time series at different time scales
Zhongda Tian
Chaos Solitons & Fractals (2019) Vol. 130, pp. 109412-109412
Closed Access | Times Cited: 61
A review of ultra-short-term forecasting of wind power based on data decomposition-forecasting technology combination model
Yulong Chen, Xue Hu, Lixin Zhang
Energy Reports (2022) Vol. 8, pp. 14200-14219
Open Access | Times Cited: 31
A two-step machine learning approach for dynamic model selection: A case study on a micro milling process
Yarens J. Cruz, Marcelino Rivas, Ramón Quiza, et al.
Computers in Industry (2022) Vol. 143, pp. 103764-103764
Closed Access | Times Cited: 28
Natural joint effect on mechanical characteristics and fracture evolution of In-Site rocks under uniaxial compression
M. Liu, Ruiyang Bi, Xinyao Luo, et al.
Engineering Failure Analysis (2023) Vol. 157, pp. 107880-107880
Closed Access | Times Cited: 16
Adaptive Nonparametric Kernel Density Estimation Approach for Joint Probability Density Function Modeling of Multiple Wind Farms
Nan Yang, Yu Huang, Dengxu Hou, et al.
Energies (2019) Vol. 12, Iss. 7, pp. 1356-1356
Open Access | Times Cited: 42
Preliminary Research of Chaotic Characteristics and Prediction of Short-Term Wind Speed Time Series
Zhongda Tian
International Journal of Bifurcation and Chaos (2020) Vol. 30, Iss. 12, pp. 2050176-2050176
Closed Access | Times Cited: 36
An Ensemble Neural Network Based on Variational Mode Decomposition and an Improved Sparrow Search Algorithm for Wind and Solar Power Forecasting
Zhiqiang Wu, Bo Wang
IEEE Access (2021) Vol. 9, pp. 166709-166719
Open Access | Times Cited: 27
Cluster-based ensemble learning for wind power modeling from meteorological wind data
Hao Chen
Renewable and Sustainable Energy Reviews (2022) Vol. 167, pp. 112652-112652
Open Access | Times Cited: 21
A review on proliferation of artificial intelligence in wind energy forecasting and instrumentation management
Lijun Zhao, Muhammad Shahzad Nazir, Hafiz Muhammad Jamsheed Nazir, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 29, pp. 43690-43709
Closed Access | Times Cited: 19
Wind Field-Based Short-Term Turbine Response Forecasting by Stacked Dilated Convolutional LSTMs
Seongcheol Woo, Junyoung Park, Jinkyoo Park, et al.
IEEE Transactions on Sustainable Energy (2019) Vol. 11, Iss. 4, pp. 2294-2304
Closed Access | Times Cited: 32
A survey of long short term memory and its associated models in sustainable wind energy predictive analytics
Sherry Garg, Rajalakshmi Krishnamurthi
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1149-1198
Closed Access | Times Cited: 9
Power electronics for renewable energy systems

(2014), pp. 1-1
Open Access | Times Cited: 30
A Selective Review on Recent Advancements in Long, Short and Ultra-Short-Term Wind Power Prediction
Manisha Sawant, Rupali B. Patil, Tanmay Shikhare, et al.
Energies (2022) Vol. 15, Iss. 21, pp. 8107-8107
Open Access | Times Cited: 13
Power Electronics in Renewable Energy Systems
Teuvo Suntio, Tuomas Messo
Energies (2019) Vol. 12, Iss. 10, pp. 1852-1852
Open Access | Times Cited: 15
Online prediction of noisy time series: Dynamic adaptive sparse kernel recursive least squares from sparse and adaptive tracking perspective
Kai Zhong, Junzhu Ma, Min Han
Engineering Applications of Artificial Intelligence (2020) Vol. 91, pp. 103547-103547
Closed Access | Times Cited: 14
Very short-term wind power forecasting for real-time operation using hybrid deep learning model with optimization algorithm
Md. Omer Faruque, Md. Alamgir Hossain, Md. Rashidul Islam, et al.
Cleaner Energy Systems (2024) Vol. 9, pp. 100129-100129
Open Access | Times Cited: 1
Machine Learning and Statistical Techniques for Daily Wind Energy Prediction
Lasini Wickramasinghe, Piyal Ekanayake, Jeevani Jayasinghe
GAZI UNIVERSITY JOURNAL OF SCIENCE (2022) Vol. 35, Iss. 4, pp. 1359-1370
Open Access | Times Cited: 7
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