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 novel combined forecasting system based on advanced optimization algorithm - A study on optimal interval prediction of wind speed
Jingrui Li, Jiyang Wang, Zhiwu Li
Energy (2022) Vol. 264, pp. 126179-126179
Closed Access | Times Cited: 18

Showing 18 citing articles:

High and low frequency wind power prediction based on Transformer and BiGRU-Attention
Shuangxin Wang, Jiarong Shi, Wei Yang, et al.
Energy (2023) Vol. 288, pp. 129753-129753
Closed Access | Times Cited: 43

An innovative interpretable combined learning model for wind speed forecasting
Pei Du, Dongchuan Yang, Yanzhao Li, et al.
Applied Energy (2024) Vol. 358, pp. 122553-122553
Closed Access | Times Cited: 21

A new perspective of wind speed forecasting: Multi-objective and model selection-based ensemble interval-valued wind speed forecasting system
Hao Yan, Xiaodi Wang, Jianzhou Wang, et al.
Energy Conversion and Management (2023) Vol. 299, pp. 117868-117868
Closed Access | Times Cited: 25

A novel selective ensemble system for wind speed forecasting: From a new perspective of multiple predictors for subseries
Sibo Yang, Wendong Yang, Xiaodi Wang, et al.
Energy Conversion and Management (2023) Vol. 294, pp. 117590-117590
Closed Access | Times Cited: 18

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

Assessing the engineering, environmental and economic aspects of repowering onshore wind energy
Faraedoon Waly Ahmed, Aoife Foley, Carole Dowds, et al.
Energy (2024) Vol. 301, pp. 131759-131759
Closed Access | Times Cited: 6

A robust De-Noising Autoencoder imputation and VMD algorithm based deep learning technique for short-term wind speed prediction ensuring cyber resilience
Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, et al.
Energy (2023) Vol. 283, pp. 129080-129080
Closed Access | Times Cited: 16

DTTM: A deep temporal transfer model for ultra-short-term online wind power forecasting
Mingwei Zhong, Cancheng Xu, Zikang Xian, et al.
Energy (2023) Vol. 286, pp. 129588-129588
Closed Access | Times Cited: 14

Environmental policy-driven electricity consumption prediction: A novel buffer-corrected Hausdorff fractional grey model informed by two-stage enhanced multi-objective optimization
Yuansheng Qian, Zhijie Zhu, Xinsong Niu, et al.
Journal of Environmental Management (2025) Vol. 377, pp. 124540-124540
Closed Access

An interpretable interval-valued wind power prediction system based on multi-objective feature extraction and base model selection with dynamic ensemble
Jujie Wang, Yuxuan Lu, Qian Li
Swarm and Evolutionary Computation (2025) Vol. 96, pp. 101977-101977
Closed Access

A Comprehensive Multivariate Wind Speed Forecasting Model Utilizing Deep Learning Neural Networks
Donglai Wei, Zhongda Tian
Research Square (Research Square) (2024)
Open 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

A novel model for wind speed point prediction and quantifying uncertainty in wind farms
Chunsheng Yu, Yutao Ma
Electrical Engineering (2024)
Closed Access | Times Cited: 1

A Point-Interval Forecasting Method for Wind Speed Using Improved Wild Horse Optimization Algorithm and Ensemble Learning
Xiuting Guo, Changsheng Zhu, Jie Hao, et al.
Sustainability (2023) Vol. 16, Iss. 1, pp. 94-94
Open Access | Times Cited: 1

An interval forecast model for infectious diseases using fuzzy information granulation and spatial-temporal graph neural network
Junhua Hu, Yingling Zhou, Huiyu Li, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 47, Iss. 1-2, pp. 83-97
Closed Access

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