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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:

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: 76

Showing 26-50 of 76 citing articles:

Multi-step ahead wind speed prediction based on a two-step decomposition technique and prediction model parameter optimization
He Wang, Min Xiong, Hongfeng Chen, et al.
Energy Reports (2022) Vol. 8, pp. 6086-6100
Open Access | Times Cited: 20
Ensemble forecaster based on the combination of time-frequency analysis and machine learning strategies for very short-term wind speed prediction
Fermín Rodríguez, Sandra Alonso-Pérez, Ignacio Sánchez-Guardamino, et al.
Electric Power Systems Research (2022) Vol. 214, pp. 108863-108863
Open Access | Times Cited: 20
Research on smooth path planning method based on improved ant colony algorithm optimized by Floyd algorithm
Lina Wang, Hejing Wang, Xin Yang, et al.
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 19
Wind power prediction based on PSO-Kalman
Daoqing Li, Xiaodong Yu, Shulin Liu, et al.
Energy Reports (2022) Vol. 8, pp. 958-968
Open Access | Times Cited: 18
Synchronization for multiweighted and directly coupled reaction-diffusion neural networks with hybrid coupling via boundary control
Shanrong Lin, Xiwei Liu
Information Sciences (2022) Vol. 607, pp. 620-637
Closed Access | Times Cited: 18
Recovery of missing field measured wind pressures on a supertall building based on correlation analysis and machine learning
Jiaxing Huang, Q.S. Li, Xu‐Liang Han
Journal of Wind Engineering and Industrial Aerodynamics (2022) Vol. 231, pp. 105237-105237
Closed Access | Times Cited: 16
Daily Weather Forecasting Based on Deep Learning Model: A Case Study of Shenzhen City, China
Guici Chen, Sijia Liu, Feng Jiang
Atmosphere (2022) Vol. 13, Iss. 8, pp. 1208-1208
Open Access | Times Cited: 14
Short-term wind power forecasting based on dual attention mechanism and gated recurrent unit neural network
Xu Wu, Yang Liu, Xinhao Fan, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 2
Innovative hybrid NARX-RNN model for predicting wind speed to harness wind power in Pakistan
Abdul Wahab Khan, Jiandong Duan, Fahad Nawaz, et al.
Energy Reports (2024) Vol. 12, pp. 2373-2387
Open Access | Times Cited: 2
Secondary factor induced wind speed time-series prediction using self-adaptive interval type-2 fuzzy sets with error correction
Yani Lu, Yulong Bai, Lihong Tang, et al.
Energy Reports (2021) Vol. 7, pp. 7030-7047
Open Access | Times Cited: 17
A novel network traffic combination prediction model
Zhongda Tian, Pengfei Song
International Journal of Communication Systems (2022) Vol. 35, Iss. 7
Closed Access | Times Cited: 11
Wind power prediction based on periodic characteristic decomposition and multi-layer attention network
Xuechao Liao, Zhenxing Liu, Xiujuan Zheng, et al.
Neurocomputing (2023) Vol. 534, pp. 119-132
Closed Access | Times Cited: 6
Dynamic spiral updating whale optimization algorithm for solving optimal power flow problem
Fengxian Wang, Shaozhi Feng, Youmei Pan, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 17, pp. 19959-20000
Closed Access | Times Cited: 6
A hybrid Aquila optimizer and its K-means clustering optimization
Cheng Huang, Jinglin Huang, Youquan Jia, et al.
Transactions of the Institute of Measurement and Control (2022) Vol. 45, Iss. 3, pp. 557-572
Closed Access | Times Cited: 10
Runoff forecasting model based on CEEMD and combination model: a case study in the Manasi River, China
Lian Lian
Water Science & Technology Water Supply (2022) Vol. 22, Iss. 4, pp. 3921-3940
Open Access | Times Cited: 9
Revolutionizing Wind Power Prediction—The Future of Energy Forecasting with Advanced Deep Learning and Strategic Feature Engineering
Md. Ahasan Habib, M. J. Hossain
Energies (2024) Vol. 17, Iss. 5, pp. 1215-1215
Open Access | Times Cited: 1
Optimization of fractional-order PI-PID controllers for MIMO systems using artificial bee colony algorithm
Chouaib Ben Djaballah, Wahid Nouibat, Redouane Ayad
Soft Computing (2024) Vol. 28, Iss. 17-18, pp. 10281-10299
Closed Access | Times Cited: 1
A Hybrid Multivariate Multistep Wind-Speed Forecasting Model Based on a Deep-Learning Neural Network
D. H. Wei, Zhongda Tian
Journal of Energy Engineering (2024) Vol. 150, Iss. 6
Closed Access | Times Cited: 1
Machine Intelligent Hybrid Methods Based on Kalman Filter and Wavelet Transform for Short-Term Wind Speed Prediction
Yug Patel, Dipankar Deb
Wind (2022) Vol. 2, Iss. 1, pp. 37-50
Open Access | Times Cited: 8
Aircraft Failure Rate Prediction Method Based on CEEMD and Combined Model
Wenqiang Li, Ning Hou
Scientific Programming (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 8
Cost and Energy Efficiency Study of an ARIMA Forecast Model Using HOMER Pro
Manish Kumar Babu, Papia Ray, A. K. Sahoo
Lecture notes in electrical engineering (2023), pp. 137-151
Closed Access | Times Cited: 4
Intelligent Optimization Algorithm for Support Vector Machine: Research and Analysis of Prediction Ability
Lian Lian
International Journal of Artificial Intelligence Tools (2023) Vol. 33, Iss. 01
Closed Access | Times Cited: 4
A widely applicable and robust LightGBM - Artificial neural network forecasting model for short-term wind power density
Xiangrui Zeng, Nibras Abdullah, Baixue Liang
Heliyon (2023) Vol. 9, Iss. 12, pp. e23071-e23071
Open Access | Times Cited: 4
Short-Term Marine Wind Speed Forecasting Based on Dynamic Graph Embedding and Spatiotemporal Information
Dibo Dong, Shangwei Wang, Qiaoying Guo, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 3, pp. 502-502
Open Access | Times Cited: 1
Wind power forecasting based on improved variational mode decomposition and permutation entropy
Zhijian Qu, Xinxing Hou, Wenbo Hu, et al.
Clean Energy (2023) Vol. 7, Iss. 5, pp. 1032-1045
Open Access | Times Cited: 3

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