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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 using a hybrid model of EEMD and LSTM considering seasonal features
Yi Yan, Xuerui Wang, Fei Ren, et al.
Energy Reports (2022) Vol. 8, pp. 8965-8980
Open Access | Times Cited: 75

Showing 26-50 of 75 citing articles:

An Improved VMD-LSTM Model for Time-Varying GNSS Time Series Prediction with Temporally Correlated Noise
Hongkang Chen, Tieding Lu, Jiahui Huang, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3694-3694
Open Access | Times Cited: 12
Short-term wind speed forecasting based on a hybrid model of ICEEMDAN, MFE, LSTM and informer
Xinxin Wang, Shen Xiaopan, AI Xue-yi, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0289161-e0289161
Open Access | Times Cited: 11
Informer learning framework based on secondary decomposition for multi-step forecast of ultra-short term wind speed
Zihao Jin, Xiaomengting Fu, Ling Xiang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109702-109702
Closed Access | Times Cited: 3
Decomposition and Harris hawks optimized multivariate wind speed forecasting utilizing sequence2sequence-based spatiotemporal attention
Hassan Bashir, Muhammad Sibtain, Özge Hanay, et al.
Energy (2023) Vol. 278, pp. 127933-127933
Closed Access | Times Cited: 10
Stochastic optimisation of district integrated energy systems based on a hybrid probability forecasting model
Yi Yan, Xuerui Wang, Ke Li, et al.
Energy (2024) Vol. 306, pp. 132486-132486
Closed Access | Times Cited: 3
Short-Term Power Prediction of Wind Turbine Applying Machine Learning and Digital Filter
Shujun Liu, Yaocong Zhang, Xiaoze Du, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1751-1751
Open Access | Times Cited: 8
Predicting Multidimensional Environmental Factor Trends in Greenhouse Microclimates Using a Hybrid Ensemble Approach
Dayu Xu, Lei Ren, Xuyao Zhang
Journal of Sensors (2023) Vol. 2023, pp. 1-21
Open Access | Times Cited: 8
An Improved VMD–EEMD–LSTM Time Series Hybrid Prediction Model for Sea Surface Height Derived from Satellite Altimetry Data
Hongkang Chen, Tieding Lu, Jiahui Huang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 12, pp. 2386-2386
Open Access | Times Cited: 8
Enhanced machine learning model via twin support vector regression for streamflow time series forecasting of hydropower reservoir
Xinyue Fu, Zhong-kai Feng, Hui Cao, et al.
Energy Reports (2023) Vol. 10, pp. 2623-2639
Open Access | Times Cited: 7
Strategy of Flywheel–Battery Hybrid Energy Storage Based on Optimized Variational Mode Decomposition for Wind Power Suppression
Enguang Hou, Yanliang Xu, Jiarui Tang, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1362-1362
Open Access | Times Cited: 2
ICEEMDAN-Informer-GWO: a hybrid model for accurate wind speed prediction
Bala Saibabu Bommidi, Kiran Teeparthi, Vinod Kumar Dulla Mallesham
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 23, pp. 34056-34081
Closed Access | Times Cited: 2
Seasonal ARIMA and LSTM Models for Wind Speed Prediction at El-Oued Region, Algeria
Brahim Taoussi, Mohamed Abderaouf Damani, Sidi Mohammed Boudia
(2024) Vol. 15, pp. 1-8
Closed Access | Times Cited: 2
Dynamic non-constraint ensemble model for probabilistic wind power and wind speed forecasting
Yun Wang, Houhua Xu, Runmin Zou, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 204, pp. 114781-114781
Closed Access | Times Cited: 2
A Novel Hybrid Method for Multi-Step Short-Term 70 m Wind Speed Prediction Based on Modal Reconstruction and STL-VMD-BiLSTM
Xuanfang Da, Dong Ye, Yanbo Shen, et al.
Atmosphere (2024) Vol. 15, Iss. 8, pp. 1014-1014
Open Access | Times Cited: 2
A CNN-LSTM model for predicting wind speed in non-stationary wind fields in mountainous areas based on wavelet transform and adaptive programming
Cheng Pei, Yuxuan Bao, Xiaomin Zhang, et al.
AIP Advances (2024) Vol. 14, Iss. 11
Open Access | Times Cited: 2
Study on runoff forecasting and error correction driven by atmosphere–ocean-land dataset
Xinyu Chang, Jun Guo, Yi Liu, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125744-125744
Closed Access | Times Cited: 2
Urban Area Characterization and Structure Analysis: A Combined Data-Driven Approach by Remote Sensing Information and Spatial–Temporal Wireless Data
Xiangyu Chen, Kaisa Zhang, Gang Chuai, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1041-1041
Open Access | Times Cited: 6
Multi-step short-term wind speed predictions employing multi-resolution feature fusion and frequency information mining
Qian Chen, Peng He, Chuanjin Yu, et al.
Renewable Energy (2023) Vol. 215, pp. 118942-118942
Closed Access | Times Cited: 6
Enhancing rock and soil hazard monitoring in open-pit mining operations through ultra-short-term wind speed prediction
Pengxiang Sun, Juan Wang, Zhenguo Yan
Frontiers in Earth Science (2024) Vol. 11
Open Access | Times Cited: 1
Short-Term Load Forecasting of Microgrid Based on TVFEMD-LSTM-ARMAX Model
Yufeng Yin, Wenbo Wang, Min Yu
Transactions on Electrical and Electronic Materials (2024) Vol. 25, Iss. 3, pp. 265-279
Closed Access | Times Cited: 1
Predictive digital twin for wind energy systems: a literature review
Ege Kandemir, Agus Hasan, Trond Kvamsdal, et al.
Energy Informatics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Demand-Side Electricity Load Forecasting Based on Time-Series Decomposition Combined with Kernel Extreme Learning Machine Improved by Sparrow Algorithm
Liyuan Sun, Yuang Lin, Nan Pan, et al.
Energies (2023) Vol. 16, Iss. 23, pp. 7714-7714
Open Access | Times Cited: 4
Automatic prediction modeling for Time-Series degradation data via Genetic algorithm with applications in nuclear energy
Shuwen Zheng, Yang Xiao, Jie Liu
Annals of Nuclear Energy (2023) Vol. 186, pp. 109781-109781
Closed Access | Times Cited: 3
An Improved VMD–EEMD–LSTM Time Series Hybrid Prediction Model for Sea Surface Height
Hongkang Chen, Xiaoxing He, Tieding Lu, et al.
(2023)
Open Access | Times Cited: 3
Prediction Model of Hydropower Generation and Its Economic Benefits Based on EEMD-ADAM-GRU Fusion Model
Jiechen Wang, Zhimei Gao, Yan Ma
Water (2022) Vol. 14, Iss. 23, pp. 3896-3896
Open Access | Times Cited: 5

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