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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:

A Short-Term Forecasting of Wind Power Outputs Based on Gradient Boosting Regression Tree Algorithms
Soyoung Park, Solyoung Jung, Jaegul Lee, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1132-1132
Open Access | Times Cited: 25

Showing 25 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: 26
Predicting the Productivity of Municipality Workers: A Comparison of Six Machine Learning Algorithms
Priya Bijalwan, Ashulekha Gupta, Anubhav Mendiratta, et al.
Economies (2024) Vol. 12, Iss. 1, pp. 16-16
Open Access | Times Cited: 8
Forecasting the power generation at renewable power plants in Sri Lanka using regression trees
Jeevani Jayasinghe, Piyal Ekanayake, Oshadi Panahatipola, et al.
Results in Engineering (2024) Vol. 22, pp. 102111-102111
Open Access | Times Cited: 7
Integrating Machine Learning and MLOps for Wind Energy Forecasting: A Comparative Analysis and Optimization Study on Türkiye’s Wind Data
Saadin Oyucu, Ahmet Aksöz
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3725-3725
Open Access | Times Cited: 6
Machine Learning Approaches for Predicting the Ablation Performance of Ceramic Matrix Composites
Jayanta Bhusan Deb, Jihua Gou, Haonan Song, et al.
Journal of Composites Science (2024) Vol. 8, Iss. 3, pp. 96-96
Open Access | Times Cited: 5
An investigation of the ensemble machine learning techniques for predicting mechanical properties of printed parts in additive manufacturing
Jayanta Bhusan Deb, Shilpa Chowdhury, Nur Mohammad Ali
Decision Analytics Journal (2024) Vol. 12, pp. 100492-100492
Open Access | Times Cited: 5
Review of Machine Learning Methods for River Flood Routing
Li Li, Kyung Soo Jun
Water (2024) Vol. 16, Iss. 2, pp. 364-364
Open Access | Times Cited: 4
Prediction of wind load power spectrum on high-rise buildings by various machine learning algorithms
Yi Li, Peng-Kun Yin, Fubin Chen
Structures (2024) Vol. 67, pp. 107015-107015
Closed Access | Times Cited: 4
A Novel Wind Power Probabilistic Forecasting System Based on Transformer Networks and Multi-Objective Optimization
Q.S. Shu, Yao Dong, Mengyuan Tong, et al.
(2025)
Closed Access
A Novel Hybrid Machine Learning Framework for Wind Speed Prediction
Mohamed Yassine Rhafes, Omar Moussaoui, Maria Simona Răboacă, et al.
E3S Web of Conferences (2025) Vol. 601, pp. 00067-00067
Open Access
Artificial intelligence-enabled predictive system for Escherichia coli colony counting using patch-based supervised cytometry regression: A technical framework
Wesley Wei‐Wen Hsiao, Shahzad Ahmad Qureshi, Haroon Aman, et al.
Microchemical Journal (2025), pp. 113206-113206
Closed Access
A Review of Wind Power Prediction Methods Based on Multi-Time Scales
Fan Li, Hongzhen Wang, Dan Wang, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1713-1713
Open Access
One-Day-Ahead Hourly Wind Power Forecasting Using Optimized Ensemble Prediction Methods
Chao‐Ming Huang, Shin‐Ju Chen, Sung‐Pei Yang, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2688-2688
Open Access | Times Cited: 9
Unlocking the potential: A review of artificial intelligence applications in wind energy
Safa Dörterler, Seyfullah Arslan, Durmuş Özdemir
Expert Systems (2024) Vol. 41, Iss. 12
Open Access | Times Cited: 3
A new approach to optimizing aeration using XGB-Bi-LSTM via the online monitoring of oxygen transfer efficiency and oxygen uptake rate
Ziding Ao, Hao Li, Jiabo Chen, et al.
Environmental Research (2023) Vol. 238, pp. 117142-117142
Closed Access | Times Cited: 6
Hybrid LSTM-Graph Convolutional Neural Network with Wavelet Transform and Correlation Analysis for Electrical Demand Forecasting
Keerti Rawal, Aijaz Ahmad
SN Computer Science (2024) Vol. 5, Iss. 4
Closed Access | Times Cited: 1
A novel analysis of random forest regression model for wind speed forecasting
J Sathyaraj, V. Sankardoss
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Regression Models and Shape Descriptors for Building Energy Demand and Comfort Estimation
Tamás Storcz, Géza Várady, István Kistelegdi, et al.
Energies (2023) Vol. 16, Iss. 16, pp. 5896-5896
Open Access | Times Cited: 3
Enhancing Solar Power Forecasting in Multi-Weather Conditions Using Deep Neural Networks
Malhar Khan, Muhammad Amir Raza, Adil Hussain, et al.
(2023)
Closed Access | Times Cited: 2
Multi-Reservoir Fully Connected Echo State Network for Wind Power Prediction
Kangshuai Guo, Xianshuang Yao, Zhanjun Huang, et al.
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 5686-5690
Closed Access
Machine Learning-Based Prediction and Benefit Analysis of Photovoltaic Power Generation
Ziyi Qing, Jiangshan Li, Man Wang, et al.
Highlights in Science Engineering and Technology (2024) Vol. 108, pp. 114-122
Open Access
Improving the forecast accuracy of wind power by leveraging multiple hierarchical structure
Lucas English, Mahdi Abolghasemi
Sustainable Energy Grids and Networks (2024) Vol. 40, pp. 101517-101517
Open Access
Dynamic Time-Based Wind Speed ​​Estimation with Decision Tree for Efficiency Analysis in Wind Turbines
İrfan Kılıç, Aslı Güneş, Beytullah Erdoğan, et al.
(2024)
Closed Access
Short-Term Wind Power Forecasting Based on Gaussian Process Regression
Denis Snegirev, Andrey Pazderin, Vladislav O. Samoylenko, et al.
(2023), pp. 1-13
Closed Access
Birth Rate Prediction System Based on Grey Prediction and Gradient Boosting Regression Tree Ensemble Model
Weibo Huang, Lin Fei, Yijia Qin, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access
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