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:

A blended approach incorporating TVFEMD, PSR, NNCT-based multi-model fusion and hierarchy-based merged optimization algorithm for multi-step wind speed prediction
Dongzhen Xiong, Wenlong Fu, Kai Wang, et al.
Energy Conversion and Management (2021) Vol. 230, pp. 113680-113680
Closed Access | Times Cited: 52

Showing 26-50 of 52 citing articles:

Innovative multi-setup modal analysis using random decrement technique: a novel approach for enhanced structural characterization
Ardalan Sabamehr, Nima Amani, Ashutosh Bagchi
International Journal of Structural Integrity (2024) Vol. 15, Iss. 5, pp. 902-930
Closed Access | Times Cited: 4

Monthly wind distribution prediction based on nonparametric estimation and modified differential evolution optimization algorithm
Ling Liu, Jujie Wang, Jianping Li, et al.
Renewable Energy (2023) Vol. 217, pp. 119099-119099
Closed Access | Times Cited: 8

Hybrid short-term runoff prediction model based on optimal variational mode decomposition, improved Harris hawks algorithm and long short-term memory network
Wei Sun, Peng Tian, Yuanlin Luo, et al.
Environmental Research Communications (2022) Vol. 4, Iss. 4, pp. 045001-045001
Open Access | Times Cited: 13

A Deep Learning Approach Based on Novel Multi-Feature Fusion for Power Load Prediction
Ling Xiao, Ruofan An, Xue Zhang
Processes (2024) Vol. 12, Iss. 4, pp. 793-793
Open Access | Times Cited: 2

Deep convolution IT2 fuzzy system with adaptive variable selection method for ultra-short-term wind speed prediction
Yaxue Ren, Yintang Wen, Fucai Liu, et al.
Energy Conversion and Management (2024) Vol. 309, pp. 118420-118420
Closed Access | Times Cited: 2

Wind Speed Prediction for Offshore Sites Using a Clockwork Recurrent Network
Yuxuan Shi, Yanyu Wang, Haoran Zheng
Energies (2022) Vol. 15, Iss. 3, pp. 751-751
Open Access | Times Cited: 10

Quality of Service Generalization using Parallel Turing Integration Paradigm to Support Machine Learning
Abdul Razaque, Mohamed Ben Haj Frej, Gulnara Bektemyssova, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1129-1129
Open Access | Times Cited: 5

A universal stability quantification method for grid-connected hydropower plant considering FOPI controller and complex nonlinear characteristics based on improved GWO
Nan Zhang, Chen Feng, Yahui Shan, et al.
Renewable Energy (2023) Vol. 211, pp. 874-894
Closed Access | Times Cited: 5

Measurement of aero-engine feature-hierarchy fusion degradation trend based on parameter-adaptive VMD method and improved transformer model
Junze Lu, Wei Jiang, Yanhe Xu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 075005-075005
Closed Access | Times Cited: 1

A hybrid forecasting architecture for air passenger demand considering search engine data and spatial effect
Xiaozhen Liang, Chenxi Hong, Jiaqi Chen, et al.
Journal of Air Transport Management (2024) Vol. 118, pp. 102611-102611
Closed Access | Times Cited: 1

Wind Speed Forecasting Based on Phase Space Reconstruction and a Novel Optimization Algorithm
Zhaoshuang He, Yanhua Chen, Y. D. Zang
Sustainability (2024) Vol. 16, Iss. 16, pp. 6945-6945
Open Access | Times Cited: 1

In-situ ammonia escape measurement sensor integrating a multi-factor spectral signal processing model
Guolin Li, Fuli Zhao, Haoran Yuan, et al.
Sensors and Actuators B Chemical (2024), pp. 136857-136857
Closed Access | Times Cited: 1

Intelligent Neural Learning Models for Multi-step Wind Speed Forecasting in Renewable Energy Applications
S. N. Deepa, Abhik Banerjee
Journal of Control Automation and Electrical Systems (2022) Vol. 33, Iss. 3, pp. 881-900
Closed Access | Times Cited: 6

An intelligent feature recognition method of natural gas pipelines based on shapelet and blending fusion model
Tingxia Ma, Hu Cheng, Lin Wang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015004-015004
Closed Access | Times Cited: 2

Decomposition spectral graph convolutional network based on multi-channel adaptive adjacency matrix for renewable energy prediction
Jiarui Liu, Yuchen Fu
Energy (2023) Vol. 284, pp. 129242-129242
Closed Access | Times Cited: 2

Local-global feature-based spatio-temporal wind speed forecasting with a sparse and dynamic graph
Yun Wang, Mengmeng Song, Dazhi Yang
Energy (2023) Vol. 289, pp. 130078-130078
Closed Access | Times Cited: 2

Generation hybrid forecasting for frequency-modulation hydropower station based on improved EEMD and ANN adaptive switching
Shuai Zhang, Shijun Chen, Guangwen Ma, et al.
Electrical Engineering (2022) Vol. 104, Iss. 5, pp. 2949-2966
Closed Access | Times Cited: 4

A ML-Based Wind Speed Prediction Model with Truncated Real-Time Decomposition and Multi-Resolution Data
Hui Feng, Yao Jin, Shujin Laima, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9610-9610
Open Access | Times Cited: 3

Short-term Wind Speed Prediction Based on Time-varying Filtered Empirical Modal Decomposition with Spatio-temporal Correlation Error Correction
Xuxin Li, Dui Li, Yongling Li, et al.
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 1034-1040
Closed Access

Multi-step ahead wind speed forecasting approach coupling PSR, NNCT-based multi-model fusion and a new optimization algorithm
Zhihao Shang, Yanhua Chen, Quan Wen, et al.
Renewable Energy (2024), pp. 121992-121992
Closed Access

A Novel Series-Concatenation Hybrid Prediction Model of Energy Consumption in Hot Strip Roughing Process With Multi-Step Rolling
Yanjiu Zhong, Jingcheng Wang, Jun Rao, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 3, pp. 4585-4598
Closed Access | Times Cited: 1

Multi‐step wind speed and wind power forecasting using variational momentum factor and deep learning based intelligent neural network models
Deepa Subramaniam Nachimuthu, Abhik Banerjee, Jayakumar Karuppaiah
Concurrency and Computation Practice and Experience (2021) Vol. 34, Iss. 6
Closed Access | Times Cited: 3

Seasonal-trend and multiobjective ensemble learning model for water consumption forecasting
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, José Henrique Kleinübing Larcher, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-8
Closed Access | Times Cited: 2

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