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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:

Short-term wind farm cluster power prediction based on dual feature extraction and quadratic decomposition aggregation
Zhijian Qu, Xinxing Hou, Jian Li, et al.
Energy (2023) Vol. 290, pp. 130155-130155
Closed Access | Times Cited: 13

Showing 13 citing articles:

Improved informer PV power short-term prediction model based on weather typing and AHA-VMD-MPE
Shuhui Cui, Shouping Lyu, Yongzhi Ma, et al.
Energy (2024) Vol. 307, pp. 132766-132766
Closed Access | Times Cited: 39
A reconstruction-based secondary decomposition-ensemble framework for wind power forecasting
Runkun Cheng, Di Yang, Da Liu, et al.
Energy (2024) Vol. 308, pp. 132895-132895
Closed Access | Times Cited: 5
Overview of Data-Driven Models for Wind Turbine Wake Flows
Maokun Ye, Min Li, Mingqiu Liu, et al.
Journal of Marine Science and Application (2025)
Open Access
Day-ahead wind farm cluster power prediction based on trend categorization and spatial information integration model
Mao Yang, Yang Jiang, Chuanyu Xu, et al.
Applied Energy (2025) Vol. 388, pp. 125580-125580
Closed Access
Uncertainty analysis of photovoltaic power generation system and intelligent coupling prediction
Guo‐Feng Fan, Yi-Wen Feng, Li‐Ling Peng, et al.
Renewable Energy (2024) Vol. 234, pp. 121174-121174
Closed Access | Times Cited: 3
Improved Informer Pv Power Short-Term Prediction Model Based on Weather Typing and Aha-Vmd-Mpe
Shuhui Cui, Kai Wang
(2024)
Closed Access | Times Cited: 2
Short-term prediction of wind power using an improved kernel based optimized deep belief network
Snigdha Sarangi, P.K. Dash, Ranjeeta Bisoi
Energy Conversion and Management (2024) Vol. 316, pp. 118821-118821
Closed Access | Times Cited: 2
Enhancing Wind Energy Predictions: A Deep Neural Network Approach to Optimizing Production and Maintenance
Carlos Quiterio Gómez Muñoz, Javier Sanchez Soriano, Pedro Jose Paniagua Falo
(2024)
Closed Access
Improving wind power forecast accuracy for optimal hybrid system energy management
Ben Ammar Rim, Ben Ammar Mohsen, Abdelmajid Oualha
Journal of Energy Resources Technology (2024) Vol. 146, Iss. 9
Closed Access
A Comprehensive Framework of the Decomposition-Based Hybrid Method for Ultra-Short-Term Wind Power Forecasting with On-Site Applicationon
Shixi Yang, Jiaxuan Zhou, Xiwen Gu, et al.
(2024)
Closed Access
A Comprehensive Framework of the Decomposition-Based Hybrid Method for Ultra-Short-Term Wind Power Forecasting with On-Site Application
Shixi Yang, Jiaxuan Zhou, Xiwen Gu, et al.
(2024)
Closed Access
Probability density function based adaptive ensemble learning with global convergence for wind power prediction
Jianfang Li, Jia Li, Chengyu Zhou
Energy (2024) Vol. 312, pp. 133573-133573
Closed Access
A comprehensive framework of the decomposition-based hybrid method for ultra-short-term wind power forecasting with on-site application
Shixi Yang, Jiaxuan Zhou, Xiwen Gu, et al.
Energy (2024), pp. 133911-133911
Closed Access
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