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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:

Mixed Kernel Function Support Vector Regression with Genetic Algorithm for Forecasting Dissolved Gas Content in Power Transformers
Tusongjiang Kari, Wensheng Gao, Ayiguzhali Tuluhong, et al.
Energies (2018) Vol. 11, Iss. 9, pp. 2437-2437
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Efficient Wind Power Prediction Using Machine Learning Methods: A Comparative Study
Abdulelah Alkesaiberi, Fouzi Harrou, Ying Sun
Energies (2022) Vol. 15, Iss. 7, pp. 2327-2327
Open Access | Times Cited: 84
Machine learning-driven web-post buckling resistance prediction for high-strength steel beams with elliptically-based web openings
Musab Rabi, Yazeed S. Jweihan, Ikram Abarkan, et al.
Results in Engineering (2024) Vol. 21, pp. 101749-101749
Open Access | Times Cited: 17
State-of-the-art review on asset management methodologies for oil-immersed power transformers
Lan Jin, Dowon Kim, Ahmed Abu‐Siada
Electric Power Systems Research (2023) Vol. 218, pp. 109194-109194
Closed Access | Times Cited: 31
Machine learning for optimal design of circular hollow section stainless steel stub columns: A comparative analysis with Eurocode 3 predictions
Ikram Abarkan, Musab Rabi, Felipe Piana Vendramell Ferreira, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107952-107952
Open Access | Times Cited: 12
Analyzing Transformer Insulation Paper Prognostics and Health Management: A Modeling Framework Perspective
Andrew Adewunmi Adekunle, I. Fofana, Patrick Picher, et al.
IEEE Access (2024) Vol. 12, pp. 58349-58377
Open Access | Times Cited: 6
Dissolved gas in transformer oil forecasting for transformer fault evaluation based on HATT-RLSTM
Mingwei Zhong, Yunfei Cao, Guanglin He, et al.
Electric Power Systems Research (2023) Vol. 221, pp. 109431-109431
Closed Access | Times Cited: 14
A comprehensive overview of the applications of kernel functions and data-driven models in regression and classification tasks in the context of software sensors
Joyce Chen Yen Ngu, Wan Sieng Yeo, Teck Fu Thien, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111975-111975
Open Access | Times Cited: 4
Predicting the remaining useful life of a tool material using acoustic emission signals
Selma Tchoketch-Kebir, Redouane Drai
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
Power Transformer Prognostics and Health Management Using Machine Learning: A Review and Future Directions
Ryad Zemouri
Machines (2025) Vol. 13, Iss. 2, pp. 125-125
Open Access
Computational intelligence for preventive maintenance of power transformers
Shen Yuong Wong, Xiaofeng Ye, Fengkai Guo, et al.
Applied Soft Computing (2021) Vol. 114, pp. 108129-108129
Closed Access | Times Cited: 29
Intelligent Fault Classification and Location Identification Method for Microgrids Using Discrete Orthonormal Stockwell Transform-Based Optimized Multi-Kernel Extreme Learning Machine
Teke Gush, Syed Basit Ali Bukhari, Khawaja Khalid Mehmood, et al.
Energies (2019) Vol. 12, Iss. 23, pp. 4504-4504
Open Access | Times Cited: 32
Enhancing Predictive Capabilities: Machine Learning Approaches for Predicting Mechanical Behavior in Friction Stir Welded Aluminum Alloys
Abdelhakim Dorbane, Fouzi Harrou, Bekir Dursun, et al.
Journal of Materials Engineering and Performance (2024)
Closed Access | Times Cited: 3
A Semi-Supervised Autoencoder With an Auxiliary Task (SAAT) for Power Transformer Fault Diagnosis Using Dissolved Gas Analysis
Sunuwe Kim, Soo-Ho Jo, Wongon Kim, et al.
IEEE Access (2020) Vol. 8, pp. 178295-178310
Open Access | Times Cited: 26
Parameter Optimization of Support Vector Regression Using Harris Hawks Optimization
I Nyoman Setiawan, Robert Kurniawan, Budi Yuniarto, et al.
Procedia Computer Science (2021) Vol. 179, pp. 17-24
Open Access | Times Cited: 20
Enhancing sustainability in sewage treatment: A least squares support vector regression-based modeling approach for optimizing regeneration conditions of iFeCu
Mieow Kee Chan, Wan Sieng Yeo, Joyce Chen Yen Ngu, et al.
Journal of Water Process Engineering (2024) Vol. 64, pp. 105694-105694
Open Access | Times Cited: 2
Benchmark value determination of energy efficiency indexes for coal-fired power units based on data mining methods
Dongchao Chen, Lihua Cao, Heyong Si
Advanced Engineering Informatics (2019) Vol. 43, pp. 101029-101029
Closed Access | Times Cited: 15
A Holistic Integration of Conventional and Machine Learning Techniques to Enhance the Analysis of Power Transformer Health Index Considering Data Unavailability
Nanda Redha Arsya, Suwarno Suwarno, Rahman Azis Prasojo, et al.
IEEE Access (2024) Vol. 12, pp. 124549-124561
Open Access | Times Cited: 1
Calculation of Distance Protection Settings in Mutually Coupled Transmission Lines: A Comparative Analysis
José de Jesús Jaramillo Serna, Jesús M. López-Lezama
Energies (2019) Vol. 12, Iss. 7, pp. 1290-1290
Open Access | Times Cited: 11
Improved Winding Mechanical Fault Type Classification Methods Based on Polar Plots and Multiple Support Vector Machines
Jiangnan Liu, Zhongyong Zhao, Kai Pang, et al.
IEEE Access (2020) Vol. 8, pp. 216271-216282
Open Access | Times Cited: 11
Diagnosing Faults in Power Transformers With Variational Autoencoder, Genetic Programming, and Neural Network
Juan Ferreira Vidal, Adriana Castro
IEEE Access (2023) Vol. 11, pp. 30529-30545
Open Access | Times Cited: 3
Fault Diagnosis of Power Transformer Based on Improved ACGAN Under Imbalanced Data
Tusongjiang Kari, Lin Du, Aisikaer. Rouzi, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 2, pp. 4573-4592
Open Access | Times Cited: 2
Calorific Value Forecasting of Coal Gangue with Hybrid Kernel Function–Support Vector Regression and Genetic Algorithm
Xiangbing Gao, Bo Jia, Gen Li, et al.
Energies (2022) Vol. 15, Iss. 18, pp. 6718-6718
Open Access | Times Cited: 3
MFO Tunned SVR Models for Analyzing Dimensional Characteristics of Cracks Developed on Steam Generator Tubes
Mathias Vijay Albert William, S. Ramesh, Róbert Čep, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12375-12375
Open Access | Times Cited: 3
Fault Prediction using a Grey-Markov Model from the Dissolved Gases Contents in Transformer Oils
Yang Liu, Yu Du, Zhiwu Wang, et al.
E3S Web of Conferences (2021) Vol. 256, pp. 01038-01038
Open Access | Times Cited: 1
Model Support Vector Regression (SVR) Berdimensi Tinggi dengan Pendekatan Fungsi Kernel Berbeda untuk Peramalan Harga Saham TLKM: Sebuah Pemodelan Deret Waktu Selama Masa Pandemi Covid-19
Fahmi Fahmi
Jurnal Infomedia (2021) Vol. 5, Iss. 2, pp. 44-44
Open Access | Times Cited: 1
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