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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:

Wind speed prediction method using Shared Weight Long Short-Term Memory Network and Gaussian Process Regression
Zhendong Zhang, Lei Ye, Hui Qin, et al.
Applied Energy (2019) Vol. 247, pp. 270-284
Closed Access | Times Cited: 260

Showing 1-25 of 260 citing articles:

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
A review of very short-term wind and solar power forecasting
Rosemary Tawn, Jethro Browell
Renewable and Sustainable Energy Reviews (2021) Vol. 153, pp. 111758-111758
Open Access | Times Cited: 176
Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model
Yongqi Liu, Hui Qin, Zhendong Zhang, et al.
Applied Energy (2019) Vol. 260, pp. 114259-114259
Closed Access | Times Cited: 169
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
A Survey of Machine Learning Models in Renewable Energy Predictions
Jung-Pin Lai, Yu-Ming Chang, Chieh-Huang Chen, et al.
Applied Sciences (2020) Vol. 10, Iss. 17, pp. 5975-5975
Open Access | Times Cited: 155
2-D regional short-term wind speed forecast based on CNN-LSTM deep learning model
Yaoran Chen, Yan Wang, Zhikun Dong, et al.
Energy Conversion and Management (2021) Vol. 244, pp. 114451-114451
Closed Access | Times Cited: 152
Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction
Ruoheng Wang, Chaoshun Li, Wenlong Fu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 31, Iss. 10, pp. 3814-3827
Closed Access | Times Cited: 144
Short-term wind speed predicting framework based on EEMD-GA-LSTM method under large scaled wind history
Yaoran Chen, Zhikun Dong, Yan Wang, et al.
Energy Conversion and Management (2020) Vol. 227, pp. 113559-113559
Closed Access | Times Cited: 142
A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches
Md Galal Uddin, Stephen Nash, Azizur Rahman, et al.
Water Research (2022) Vol. 229, pp. 119422-119422
Open Access | Times Cited: 140
A hybrid attention-based deep learning approach for wind power prediction
Zhengjing Ma, Gang Mei
Applied Energy (2022) Vol. 323, pp. 119608-119608
Closed Access | Times Cited: 96
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
A Novel Reconstruction Method for Temperature Distribution Measurement Based on Ultrasonic Tomography
Bo Zhu, Qishui Zhong, Yinsheng Chen, et al.
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (2022) Vol. 69, Iss. 7, pp. 2352-2370
Closed Access | Times Cited: 84
Hybrid wind speed forecasting using ICEEMDAN and transformer model with novel loss function
Bala Saibabu Bommidi, Kiran Teeparthi, Vishalteja Kosana
Energy (2022) Vol. 265, pp. 126383-126383
Closed Access | Times Cited: 83
Evaluation of water quality indexes with novel machine learning and SHapley Additive ExPlanation (SHAP) approaches
Ali Aldrees, Majid Khan, Abubakr Taha Bakheit Taha, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104789-104789
Closed Access | Times Cited: 59
A spatio-temporal forecasting model using optimally weighted graph convolutional network and gated recurrent unit for wind speed of different sites distributed in an offshore wind farm
Xuefang Xu, Shiting Hu, Huaishuang Shao, et al.
Energy (2023) Vol. 284, pp. 128565-128565
Closed Access | Times Cited: 48
RNN-LSTM: From applications to modeling techniques and beyond—Systematic review
Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 5, pp. 102068-102068
Open Access | Times Cited: 45
Palladium Price Predictions via Machine Learning
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 42
Predictions of steel price indices through machine learning for the regional northeast Chinese market
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 33, pp. 20863-20882
Closed Access | Times Cited: 42
Forecasts of thermal coal prices through Gaussian process regressions
Bingzi Jin, Xiaojie Xu
Ironmaking & Steelmaking Processes Products and Applications (2024) Vol. 51, Iss. 8, pp. 819-834
Closed Access | Times Cited: 31
Machine learning solutions for renewable energy systems: Applications, challenges, limitations, and future directions
Zaid Allal, Hassan Noura, Ola Salman, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120392-120392
Closed Access | Times Cited: 28
Forecasts of China Mainland New Energy Index Prices through Gaussian Process Regressions
Bingzi Jin, Xiaojie Xu
Deleted Journal (2024) Vol. 01
Closed Access | Times Cited: 20
Forecasts of coking coal futures price indices through Gaussian process regressions
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 20
Machine learning price index forecasts of flat steel products
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 15
Predicting Scrap Steel Prices Through Machine Learning for South China
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2025) Vol. 7, Iss. 1
Closed Access | Times Cited: 2
Multivariate machine learning algorithms for energy demand forecasting and load behavior analysis
Farhan Hussain, M. Hasanuzzaman, Nasrudin Abd Rahim
Energy Conversion and Management X (2025), pp. 100903-100903
Open Access | Times Cited: 1
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