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 Power Prediction Based on LightGBM and Meteorological Reanalysis
Shengli Liao, Xudong Tian, Benxi Liu, et al.
Energies (2022) Vol. 15, Iss. 17, pp. 6287-6287
Open Access | Times Cited: 15

Showing 15 citing articles:

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

Ultra-short-term wind power prediction method based on FTI-VACA-XGB model
Shijie Guan, Yongsheng Wang, Limin Liu, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121185-121185
Open Access | Times Cited: 18

Wind Power Forecasting Using Optimized Dendritic Neural Model Based on Seagull Optimization Algorithm and Aquila Optimizer
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Mohamed Abd Elaziz, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9261-9261
Open Access | Times Cited: 22

Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 4

Multi-temporal Scale Wind Power Forecasting Based on Lasso-CNN-LSTM-LightGBM
Qingzhong Gao
EAI Endorsed Transactions on Energy Web (2024) Vol. 11
Open Access | Times Cited: 1

Aerodynamic optimization of aircraft wings using machine learning
Md Mahmudul Hasan, Stéphane Redonnet, D. Zhongmin
Advances in Engineering Software (2024) Vol. 200, pp. 103801-103801
Closed Access | Times Cited: 1

A comprehensive evaluation of machine learning and deep learning algorithms for wind speed and power prediction
Haytham H. Elmousalami, Hadi Hesham Elmesalami, Mina Maxi, et al.
Decision Analytics Journal (2024), pp. 100527-100527
Open Access | Times Cited: 1

Advancing Smart Zero-Carbon Cities: High-Resolution Wind Energy Forecasting to 36 Hours Ahead
Haytham H. Elmousalami, Aljawharah A. Alnaser, Felix Kin Peng Hui
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11918-11918
Open Access | Times Cited: 1

Multi-modal transformer-based wind power prediction by utilizing heterogeneous sources
Han Hong-xing, Xinyu Liang, Kailin Zhu
(2024), pp. 302-302
Closed Access

A Review of Short-Term Wind Power Forecasting Based on Artificial Intelligence Methods
Yangtian Zhang, Yunfei Ding, Youren Zhang, et al.
Mechanisms and machine science (2024), pp. 48-59
Closed Access

Short-Term Wind Power Forecasting Based on OMNIC and Adaptive Fractional Order Generalized Pareto Motion Model
Fan Cai, Dongdong Chen, Yuesong Jiang, et al.
Energies (2024) Vol. 17, Iss. 23, pp. 5848-5848
Open Access

An optimization framework for hot-rolled strip crown control based on model-driven digital twin
F Wang, Chao Liu, An Ping He, et al.
Journal of Iron and Steel Research International (2024)
Closed Access

Wind power regression prediction based on stacked LSTMs with attention mechanisms for evaluating technological improvement effects of wind turbines
Lingxing Kong, Kailong Liu, Deyi Fu, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 1, pp. 51-62
Closed Access

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