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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:

Adaptive forecasting of wind power based on selective ensemble of offline global and online local learning
Huaiping Jin, Yu Li, Bin Wang, et al.
Energy Conversion and Management (2022) Vol. 271, pp. 116296-116296
Closed Access | Times Cited: 19

Showing 19 citing articles:

Short-term multi-step wind power forecasting based on spatio-temporal correlations and transformer neural networks
Shilin Sun, Yuekai Liu, Qi Li, et al.
Energy Conversion and Management (2023) Vol. 283, pp. 116916-116916
Closed Access | Times Cited: 95
Imbalanced data based fault diagnosis of the chiller via integrating a new resampling technique with an improved ensemble extreme learning machine
Hanyuan Zhang, Wenxin Yang, Weilin Yi, et al.
Journal of Building Engineering (2023) Vol. 70, pp. 106338-106338
Closed Access | Times Cited: 43
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
Novel wind power ensemble forecasting system based on mixed-frequency modeling and interpretable base model selection strategy
Xiaodi Wang, Hao Yan, Wendong Yang
Energy (2024) Vol. 297, pp. 131142-131142
Closed Access | Times Cited: 11
Preparation of biochar-based photothermal superhydrophobic coating based on corn straw biogas residue and blade anti-icing performance by wind tunnel test
Zhiyuan Liu, Yan Li, Yong Sun, et al.
Renewable Energy (2023) Vol. 210, pp. 618-626
Closed Access | Times Cited: 15
Wind power prediction through acoustic data-driven online modeling and active wake control
Bingchuan Sun, Mingxu Su, Jié He
Energy Conversion and Management (2024) Vol. 319, pp. 118920-118920
Closed Access | Times Cited: 5
Energy Consumption Prediction for Office Buildings: Performance Evaluation and Application of Ensemble Machine Learning Techniques
Chao Ma, Song Pan, Tong Cui, et al.
Journal of Building Engineering (2025) Vol. 102, pp. 112021-112021
Closed Access
A quality-relevant deep rule-based system with complementary lifelong learning for adaptive quality prediction in industrial semi-supervised process data streams
Yu Gao, Huaiping Jin, Zhiqiang Wang, et al.
Information Sciences (2025), pp. 122036-122036
Closed Access
Hybrid forecasting models for wind-PV systems in diverse geographical locations: Performance and power potential analysis
Majad Mansoor, Adeel Feroz Mirza, Muhammad Usman, et al.
Energy Conversion and Management (2023) Vol. 287, pp. 117080-117080
Closed Access | Times Cited: 14
An Adaptive Hybrid Model for Wind Power Prediction Based on the IVMD-FE-Ad-Informer
Yuqian Tian, Dazhi Wang, Guolin Zhou, et al.
Entropy (2023) Vol. 25, Iss. 4, pp. 647-647
Open Access | Times Cited: 13
Interpretable multi-graph convolution network integrating spatial-temporal attention and dynamic combination for wind power forecasting
Yongning Zhao, Haohan Liao, Shiji Pan, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124766-124766
Closed Access | Times Cited: 3
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
Forecasting power generation of wind turbine with real-time data using machine learning algorithms
Asiye Bilgili, Kerem Gül
Clean Technologies and Recycling (2024) Vol. 4, Iss. 2, pp. 108-124
Open Access | Times Cited: 1
Adaptive expert fusion model for online wind power prediction
Renfang Wang, Jingtong Wu, Xu Cheng, et al.
Neural Networks (2024) Vol. 184, pp. 107022-107022
Open Access | Times Cited: 1
A novel few-sample wind power prediction model based on generative adversarial network and quadratic mode decomposition
Hang He, Manman Yuan
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 4
Predicting alfalfa leaf area index by non-linear models and deep learning models
Songtao Yang, Yongqi Ge, Jing Wang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access
An improved hybrid model for wind power forecasting through fusion of deep learning and adaptive online learning
Xinwei Zhao, Hai Peng Liu, Huaiping Jin, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109768-109768
Closed Access
Gated Recurrent Unit Neural Networks for Wind Power Forecasting based on Surrogate-Assisted Evolutionary Neural Architecture Search
Kehao Zhang, Huaiping Jin, Huaikang Jin, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2023) Vol. 20, pp. 1774-1779
Closed Access | Times Cited: 1
Dynamic Linear Prediction Model Based on Energy Storage System Compensating Prediction Error for Wind Power
Wei Yang, Li Jia, Yong Chen, et al.
(2022), pp. 59-66
Closed Access
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