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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:

Artificial Intelligence Based Hybrid Forecasting Approaches for Wind Power Generation: Progress, Challenges and Prospects
Molla Shahadat Hossain Lipu, Md. Sazal Miah, M. A. Hannan, et al.
IEEE Access (2021) Vol. 9, pp. 102460-102489
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Deep learning for renewable energy forecasting: A taxonomy, and systematic literature review
Changtian Ying, Weiqing Wang, Jiong Yu, et al.
Journal of Cleaner Production (2022) Vol. 384, pp. 135414-135414
Closed Access | Times Cited: 72
A short-term wind power forecasting method based on multivariate signal decomposition and variable selection
Ting Yang, Zhenning Yang, Fei Li, et al.
Applied Energy (2024) Vol. 360, pp. 122759-122759
Closed Access | Times Cited: 25
A review of controllers and optimizations based scheduling operation for battery energy storage system towards decarbonization in microgrid: Challenges and future directions
Molla Shahadat Hossain Lipu, Shaheer Ansari, Md. Sazal Miah, et al.
Journal of Cleaner Production (2022) Vol. 360, pp. 132188-132188
Closed Access | Times Cited: 63
A wind power forecasting method based on optimized decomposition prediction and error correction
Jun Li, Shuqing Zhang, Zhenning Yang
Electric Power Systems Research (2022) Vol. 208, pp. 107886-107886
Closed Access | Times Cited: 50
A novel wind power prediction approach using multivariate variational mode decomposition and multi-objective crisscross optimization based deep extreme learning machine
Anbo Meng, Zibin Zhu, Weisi Deng, et al.
Energy (2022) Vol. 260, pp. 124957-124957
Closed Access | Times Cited: 42
Artificial Intelligence and Machine Learning in Grid Connected Wind Turbine Control Systems: A Comprehensive Review
Nathan Oaks Farrar, Mohd. Hasan Ali, Dipankar Dasgupta
Energies (2023) Vol. 16, Iss. 3, pp. 1530-1530
Open Access | Times Cited: 27
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Chia‐Sheng Tu, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10757-10757
Open Access | Times Cited: 23
Hybrid LSTM-Based Fractional-Order Neural Network for Jeju Island’s Wind Farm Power Forecasting
Bhukya Ramadevi, Venkata Ramana Kasi, Kishore Bingi
Fractal and Fractional (2024) Vol. 8, Iss. 3, pp. 149-149
Open Access | Times Cited: 8
Data-augmented sequential deep learning for wind power forecasting
Hao Chen, Yngve Birkelund, Qixia Zhang
Energy Conversion and Management (2021) Vol. 248, pp. 114790-114790
Open Access | Times Cited: 45
Wind Power Prediction Based on Machine Learning and Deep Learning Models
Zahraa Tarek, Mahmoud Y. Shams, Ahmed M. Elshewey, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 1, pp. 715-732
Open Access | Times Cited: 35
A physics-inspired neural network model for short-term wind power prediction considering wake effects
Naizhi Guo, Ke-Zhong Shi, Bo Li, et al.
Energy (2022) Vol. 261, pp. 125208-125208
Closed Access | Times Cited: 29
Design data decomposition-based reference evapotranspiration forecasting model: A soft feature filter based deep learning driven approach
Zihao Zheng, Mumtaz Ali, Mehdi Jamei, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105984-105984
Closed Access | Times Cited: 19
Machine Learning and Game-Theoretic Model for Advanced Wind Energy Management Protocol (AWEMP)
Imed Khabbouchi, Dhaou Said, Aziz Oukaira, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2179-2179
Open Access | Times Cited: 16
Research on the short-term wind power prediction with dual branch multi-source fusion strategy
Ling Tan, Yihe Chen, Jingming Xia, et al.
Energy (2024) Vol. 291, pp. 130402-130402
Closed Access | Times Cited: 6
Advancements in wind power forecasting: A comprehensive review of artificial intelligence-based approaches
Krishan Kumar, Priti Prabhakar, Avnesh Verma, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 5
Short-term wind power prediction based on improved variational modal decomposition, least absolute shrinkage and selection operator, and BiGRU networks
Miaosen Hu, Guoqiang Zheng, Zhonge Su, et al.
Energy (2024) Vol. 303, pp. 131951-131951
Closed Access | Times Cited: 5
Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources
Adam Krechowicz, Maria Krechowicz, Katarzyna Poczęta
Energies (2022) Vol. 15, Iss. 23, pp. 9146-9146
Open Access | Times Cited: 26
Enhancing wind power forecast accuracy using the weather research and forecasting numerical model-based features and artificial neuronal networks
António Couto, Ana Estanqueiro
Renewable Energy (2022) Vol. 201, pp. 1076-1085
Open Access | Times Cited: 25
A Comprehensive Review on Development and Applications of Cross-Flow Wind Turbines
Zahra Sefidgar, Amir Ahmadi Joneidi, Ahmad Arabkoohsar
Sustainability (2023) Vol. 15, Iss. 5, pp. 4679-4679
Open Access | Times Cited: 15
Tracking and predicting technological knowledge interactions between artificial intelligence and wind power: Multimethod patent analysis
Jinfeng Wang, Lu Cheng, Lijie Feng, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102177-102177
Closed Access | Times Cited: 15
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Whei-Min Lin, et al.
(2023)
Open Access | Times Cited: 13
Improving multi-month hydrological drought forecasting in a tropical region using hybridized extreme learning machine model with Beluga Whale Optimization algorithm
Mohammed Majeed Hameed, Siti Fatin Mohd Razali, Wan Hanna Melini Wan Mohtar, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 12, pp. 4963-4989
Closed Access | Times Cited: 13
Application of Artificial Intelligence in Wind Power Systems
Mladen Bošnjaković, Marko Martinović, Kristian Đokić
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2443-2443
Open Access
An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks
Tacjana Niksa-Rynkiewicz, Piotr Stomma, Anna Witkowska, et al.
Journal of Artificial Intelligence and Soft Computing Research (2023) Vol. 13, Iss. 3, pp. 197-210
Open Access | Times Cited: 10
Short-Term Power Forecasting and Uncertainty Analysis of Wind Farm at Multiple Time Scales
Tianren Zhang, Yuping Huang, Hui Liao, et al.
IEEE Access (2024) Vol. 12, pp. 25129-25145
Open Access | Times Cited: 3
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