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 forecasting using multi-scale feature adaptive extraction ensemble model with error regression correction
Jun Chen, Hui Liu, Chao Chen, et al.
Expert Systems with Applications (2022) Vol. 207, pp. 117358-117358
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Wind power forecasting system with data enhancement and algorithm improvement
Yagang Zhang, Xue Kong, Jingchao Wang, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 196, pp. 114349-114349
Closed Access | Times Cited: 16

A hybrid wind speed forecasting model with two-stage data processing based on adaptive neuro-fuzzy inference systems and deep learning algorithms
Zhongda Tian, D. H. Wei
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 2

Better wind forecasting using Evolutionary Neural Architecture search driven Green Deep Learning
Keerthi NagaSree Pujari, Srinivas Soumitri Miriyala, Prateek Mittal, et al.
Expert Systems with Applications (2022) Vol. 214, pp. 119063-119063
Open Access | Times Cited: 39

Combined forecasting tool for renewable energy management in sustainable supply chains
Yuhuan Sun, Jiao Ding, Zhenkun Liu, et al.
Computers & Industrial Engineering (2023) Vol. 179, pp. 109237-109237
Closed Access | Times Cited: 34

Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model
Lionel Joseph, Ravinesh C. Deo, David Casillas-Pérez, et al.
Applied Energy (2024) Vol. 359, pp. 122624-122624
Open Access | Times Cited: 13

Wind speed prediction and reconstruction based on improved grey wolf optimization algorithm and deep learning networks
Anfeng Zhu, Qiancheng Zhao, Tianlong Yang, et al.
Computers & Electrical Engineering (2024) Vol. 114, pp. 109074-109074
Closed Access | Times Cited: 11

Short-term wind speed forecasting based on recurrent neural networks and Levy crystal structure algorithm
Jingwei Zheng, Jianzhou Wang
Energy (2024) Vol. 293, pp. 130580-130580
Closed Access | Times Cited: 10

A novel multivariate combined power load forecasting system based on feature selection and multi-objective intelligent optimization
Qianyi Xing, Xiaojia Huang, Jianzhou Wang, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122970-122970
Closed Access | Times Cited: 18

Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 5

Simulation of infrared thermal radiation images and sensors based on Machine vision for badminton sports image detection data
Tian Zhiquan, D.-Z. Feng, Dong Ning, et al.
Thermal Science and Engineering Progress (2025), pp. 103253-103253
Closed Access

Short-term extreme wind speed forecasting using dual-output LSTM-based regression and classification model
Paraskevi Modé, Cristoforo Demartino, Christos Τ. Georgakis, et al.
Journal of Wind Engineering and Industrial Aerodynamics (2025) Vol. 259, pp. 106035-106035
Open Access

A hybrid intelligent framework for forecasting short-term hourly wind speed based on machine learning
Yelin Wang, Ping Yang, Shunyu Zhao, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119223-119223
Closed Access | Times Cited: 19

A Comprehensive Review on Machine Learning Techniques for Forecasting Wind Flow Pattern
K. R. Sri Preethaa, Akila Muthuramalingam, Yuvaraj Natarajan, et al.
Sustainability (2023) Vol. 15, Iss. 17, pp. 12914-12914
Open Access | Times Cited: 11

A novel spatio-temporal wind speed forecasting method based on the microscale meteorological model and a hybrid deep learning model
Dongqin Zhang, Gang Hu, Jie Song, et al.
Energy (2023) Vol. 288, pp. 129823-129823
Closed Access | Times Cited: 11

Two-stage correction prediction of wind power based on numerical weather prediction wind speed superposition correction and improved clustering
Mao Yang, Yunfeng Guo, Fulin Fan, et al.
Energy (2024) Vol. 302, pp. 131797-131797
Closed Access | Times Cited: 3

A new multi-objective ensemble wind speed forecasting system: Mixed-frequency interval-valued modeling paradigm
Wendong Yang, Xinyi Zang, C.L. Wu, et al.
Energy (2024) Vol. 304, pp. 131963-131963
Closed Access | Times Cited: 3

Day-ahead wind power prediction using an ensemble model considering multiple indicators combined with error correction
Siyi Zhang, Mingbo Liu, Mingde Liu, et al.
Applied Soft Computing (2023) Vol. 148, pp. 110873-110873
Closed Access | Times Cited: 8

GAN-Based Abrupt Weather Data Augmentation for Wind Turbine Power Day-Ahead Predictions
Renfeng Liu, Yinbo Song, Yuan Chen, et al.
Energies (2023) Vol. 16, Iss. 21, pp. 7250-7250
Open Access | Times Cited: 7

A Time Series Decomposition and Reinforcement Learning Ensemble Method for Short-Term Passenger Flow Prediction in Urban Rail Transit
Jinxin Wu, Deqiang He, Xianwang Li, et al.
Urban Rail Transit (2023) Vol. 9, Iss. 4, pp. 323-351
Open Access | Times Cited: 5

Short-Term Subway Passenger Flow Prediction Based on Time Series Adaptive Decomposition and Multi-Model Combination (IVMD-SE-MSSA)
Xianwang Li, Zhongxiang Huang, Saihu Liu, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 7949-7949
Open Access | Times Cited: 4

MSTL-NNAR: a new hybrid model of machine learning and time series decomposition for wind speed forecasting
Mohammed Elseidi
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 7, pp. 2613-2632
Closed Access | Times Cited: 1

Benchmarking of Various Flexible Soft-Computing Strategies for the Accurate Estimation of Wind Turbine Output Power
Boudy Bilal, Kaan Yetilmezsoy, Mohammed Ouassaid
Energies (2024) Vol. 17, Iss. 3, pp. 697-697
Open Access

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