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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:

Approaches to wind power curve modeling: A review and discussion
Yun Wang, Qinghua Hu, Linhao Li, et al.
Renewable and Sustainable Energy Reviews (2019) Vol. 116, pp. 109422-109422
Closed Access | Times Cited: 205

Showing 1-25 of 205 citing articles:

A review of wind speed and wind power forecasting with deep neural networks
Yun Wang, Runmin Zou, Fang Liu, et al.
Applied Energy (2021) Vol. 304, pp. 117766-117766
Closed Access | Times Cited: 545
Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System
Prabhakar Sharma, Zafar Said, Anurag Kumar, et al.
Energy & Fuels (2022) Vol. 36, Iss. 13, pp. 6626-6658
Closed Access | Times Cited: 242
Extreme gradient boosting and deep neural network based ensemble learning approach to forecast hourly solar irradiance
Pratima Kumari, Durga Toshniwal
Journal of Cleaner Production (2020) Vol. 279, pp. 123285-123285
Closed Access | Times Cited: 205
A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality
Dazhi Yang, Meng Wan, Christian A. Gueymard, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 161, pp. 112348-112348
Closed Access | Times Cited: 176
Flexible operation strategy of an integrated renewable multi-generation system for electricity, hydrogen, ammonia, and heating
Du Wen, Muhammad Aziz
Energy Conversion and Management (2022) Vol. 253, pp. 115166-115166
Open Access | Times Cited: 77
Recent trends on nanofluid heat transfer machine learning research applied to renewable energy
Ting Ma, Zhixiong Guo, Mei Lin, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 138, pp. 110494-110494
Open Access | Times Cited: 127
Day-ahead wind power forecasting based on the clustering of equivalent power curves
Mao Yang, Chaoyu Shi, Huiyu Liu
Energy (2020) Vol. 218, pp. 119515-119515
Closed Access | Times Cited: 105
State-of-the-art one-stop handbook on wind forecasting technologies: An overview of classifications, methodologies, and analysis
Bo Yang, Linen Zhong, Jingbo Wang, et al.
Journal of Cleaner Production (2020) Vol. 283, pp. 124628-124628
Closed Access | Times Cited: 88
A historical weather forecast dataset from the European Centre for Medium-Range Weather Forecasts (ECMWF) for energy forecasting
Dazhi Yang, Meng Wan, Tao Hong
Solar Energy (2022) Vol. 232, pp. 263-274
Closed Access | Times Cited: 58
Review on Deep Learning Research and Applications in Wind and Wave Energy
Chengcheng Gu, Hua Li
Energies (2022) Vol. 15, Iss. 4, pp. 1510-1510
Open Access | Times Cited: 50
Design and analysis of biomass-to-ammonia-to-power as an energy storage method in a renewable multi-generation system
Du Wen, Muhammad Aziz
Energy Conversion and Management (2022) Vol. 261, pp. 115611-115611
Open Access | Times Cited: 48
Optimization of carbon emission reduction paths in the low-carbon power dispatching process
Jingliang Jin, Qinglan Wen, Cheng Siqi, et al.
Renewable Energy (2022) Vol. 188, pp. 425-436
Closed Access | Times Cited: 42
A short-term wind speed interval prediction method based on WRF simulation and multivariate line regression for deep learning algorithms
Yan Han, Lihua Mi, Lian Shen, et al.
Energy Conversion and Management (2022) Vol. 258, pp. 115540-115540
Closed Access | Times Cited: 40
Applications and Modeling Techniques of Wind Turbine Power Curve for Wind Farms—A Review
Francisco Bilendo, Angela Meyer, Hamed Badihi, et al.
Energies (2022) Vol. 16, Iss. 1, pp. 180-180
Open Access | Times Cited: 38
A novel data-driven deep learning approach for wind turbine power curve modeling
Yun Wang, Xiaocong Duan, Runmin Zou, et al.
Energy (2023) Vol. 270, pp. 126908-126908
Closed Access | Times Cited: 23
Inception-embedded attention memory fully-connected network for short-term wind power prediction
Linfei Yin, Mingshan Zhao
Applied Soft Computing (2023) Vol. 141, pp. 110279-110279
Closed Access | Times Cited: 22
A Tutorial Review of the Solar Power Curve: Regressions, Model Chains, and Their Hybridization and Probabilistic Extensions
Dazhi Yang, Xiangao Xia, Martin János Mayer
Advances in Atmospheric Sciences (2024) Vol. 41, Iss. 6, pp. 1023-1067
Open Access | Times Cited: 14
Wind power curve modeling: A probabilistic Beta regression approach
Marco Capelletti, Davide M. Raimondo, Giuseppe De Nicolao
Renewable Energy (2024) Vol. 223, pp. 119970-119970
Closed Access | Times Cited: 9
Wind turbine blade icing risk assessment considering power output predictions based on SCSO-IFCM clustering algorithm
Lei Wang, Yigang He, Yinglong He, et al.
Renewable Energy (2024) Vol. 223, pp. 119969-119969
Closed Access | Times Cited: 8
Critical evaluation of Wind Turbines’ analytical wake models
J.K. Kaldellis, Panagiotis Triantafyllou, Panagiotis Stinis
Renewable and Sustainable Energy Reviews (2021) Vol. 144, pp. 110991-110991
Closed Access | Times Cited: 54
Wind Power Curve Modeling With Hybrid Copula and Grey Wolf Optimization
Danxiang Wei, Jianzhou Wang, Zhiwu Li, et al.
IEEE Transactions on Sustainable Energy (2021) Vol. 13, Iss. 1, pp. 265-276
Closed Access | Times Cited: 41
Comparing classical and metaheuristic methods to optimize multi-objective operation planning of district energy systems considering uncertainties
Zahra Ghaemi, Thomas Tran, Amanda D. Smith
Applied Energy (2022) Vol. 321, pp. 119400-119400
Closed Access | Times Cited: 28
Condition Monitoring of Wind Turbine Systems by Explainable Artificial Intelligence Techniques
Davide Astolfi, Fabrizio De, Alfredo Vaccaro
Sensors (2023) Vol. 23, Iss. 12, pp. 5376-5376
Open Access | Times Cited: 19
Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment
Edoardo Pasta, Nicolás Faedo, Giuliana Mattiazzo, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 188, pp. 113877-113877
Open Access | Times Cited: 16
An adaptive distribution-matched recurrent network for wind power prediction using time-series distribution period division
Anbo Meng, Haitao Zhang, Zhongfu Dai, et al.
Energy (2024) Vol. 299, pp. 131383-131383
Closed Access | Times Cited: 7
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