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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.

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Showing 1-25 of 33 citing articles:

Improvement of power transformer fault diagnosis by using sequential Kalman filter sensor fusion
Merve Demirci, Haluk Gözde, M. Cengiz Taplamacıoğlu
International Journal of Electrical Power & Energy Systems (2023) Vol. 149, pp. 109038-109038
Closed Access | Times Cited: 39
Machine learning based multi-method interpretation to enhance dissolved gas analysis for power transformer fault diagnosis
Suwarno Suwarno, Heri Sutikno, Rahman Azis Prasojo, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25975-e25975
Open Access | Times Cited: 10
Review of Fiber Optic Diagnostic Techniques for Power Transformers
Janvier Sylvestre N'Cho, I. Fofana
Energies (2020) Vol. 13, Iss. 7, pp. 1789-1789
Open Access | Times Cited: 53
Investigation on machine learning algorithms to support transformer dissolved gas analysis fault identification
Ekojono, Rahman Azis Prasojo, Meyti Eka Apriyani, et al.
Electrical Engineering (2022) Vol. 104, Iss. 5, pp. 3037-3047
Closed Access | Times Cited: 27
A dissolved Gases Analysis Method for Power Transformer Faults Diagnosis Based on the Observation of Subsets of Labelled Fault Data
Arnaud Nanfak, Samuel Sunday Eke, Charles Hubert Kom, et al.
Journal of Electrical Engineering and Technology (2025)
Closed Access
A Fuzzy Logic Model for Power Transformer Faults’ Severity Determination Based on Gas Level, Gas Rate, and Dissolved Gas Analysis Interpretation
Rahman Azis Prasojo, Harry Gumilang, Suwarno Suwarno, et al.
Energies (2020) Vol. 13, Iss. 4, pp. 1009-1009
Open Access | Times Cited: 40
Complementary Analysis for DGA Based on Duval Methods and Furan Compounds Using Artificial Neural Networks
Ancuţa-Mihaela Aciu, Claudiu-Ionel Nicola, Marcel Nicola, et al.
Energies (2021) Vol. 14, Iss. 3, pp. 588-588
Open Access | Times Cited: 33
Fault diagnosis of transformer using artificial intelligence: A review
Yan Zhang, Yufeng Tang, Yongqiang Liu, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 23
Hybrid DGA Method for Power Transformer Faults Diagnosis Based on Evolutionary k-Means Clustering and Dissolved Gas Subsets Analysis
Arnaud Nanfak, Samuel Eke, F. Meghnefi, et al.
IEEE Transactions on Dielectrics and Electrical Insulation (2023) Vol. 30, Iss. 5, pp. 2421-2428
Open Access | Times Cited: 13
A Method for Identifying External Short-Circuit Faults in Power Transformers Based on Support Vector Machines
Hao Du, Linglong Cai, Zhiqin Ma, et al.
Electronics (2024) Vol. 13, Iss. 9, pp. 1716-1716
Open Access | Times Cited: 4
Fault Classification in Power Transformers via Dissolved Gas Analysis and Machine Learning Algorithms: A Systematic Literature Review
Vuyani M.N. Dladla, Bonginkosi Thango
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2395-2395
Open Access
Improved Genetic Algorithm and XGBoost Classifier for Power Transformer Fault Diagnosis
Zhanhong Wu, Mingbiao Zhou, Zhenheng Lin, et al.
Frontiers in Energy Research (2021) Vol. 9
Open Access | Times Cited: 27
A combined technique for power transformer fault diagnosis based on k‐means clustering and support vector machine
Arnaud Nanfak, Abdelmoumene Hechifa, Samuel Eke, et al.
IET Nanodielectrics (2024) Vol. 7, Iss. 3, pp. 175-187
Open Access | Times Cited: 3
A novel method for transformer fault diagnosis based on refined deep residual shrinkage network
Hao Hu, Xin Ma, Yizi Shang
IET Electric Power Applications (2021) Vol. 16, Iss. 2, pp. 206-223
Closed Access | Times Cited: 24
Missing data imputation using an iterative denoising autoencoder (IDAE) for dissolved gas analysis
Boseong Seo, Jaekyung Shin, Taejin Kim, et al.
Electric Power Systems Research (2022) Vol. 212, pp. 108642-108642
Closed Access | Times Cited: 16
Fire Risk Assessment of Urban Utility Tunnels Based on Improved Cloud Model and Evidence Theory
Qunfeng Niu, Qiang Yuan, Yunpo Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2204-2204
Open Access | Times Cited: 9
Nonlinear spectrum feature fusion diagnosis method for RV reducer of industrial robots
Yuting Qiao, Hongbo Wang, Junyi Cao, et al.
Mechanical Systems and Signal Processing (2023) Vol. 204, pp. 110750-110750
Closed Access | Times Cited: 9
An Inspired Machine-Learning Algorithm with a Hybrid Whale Optimization for Power Transformer PHM
Wei Zhang, Xiaohui Yang, Yeheng Deng, et al.
Energies (2020) Vol. 13, Iss. 12, pp. 3143-3143
Open Access | Times Cited: 22
Investigation of Partial Discharges within Power Oil Transformers by Acoustic Emission
F. Witos, A. Olszewska
Energies (2023) Vol. 16, Iss. 9, pp. 3779-3779
Open Access | Times Cited: 6
An Intelligent Fault Analysis and Diagnosis System for Electromagnet Manufacturing Process Based on Fuzzy Fault Tree and Evidence Theory
Jihong Pang, Jinkun Dai, Yong Li
Mathematics (2022) Vol. 10, Iss. 9, pp. 1437-1437
Open Access | Times Cited: 9
An Integrated Model for Transformer Fault Diagnosis to Improve Sample Classification near Decision Boundary of Support Vector Machine
Yiyi Zhang, Yuxuan Wang, Xianhao Fan, et al.
Energies (2020) Vol. 13, Iss. 24, pp. 6678-6678
Open Access | Times Cited: 14
A Molecular Dynamics Study of the Generation of Ethanol for Insulating Paper Pyrolysis
Yiyi Zhang, Yi Li, LI Shi-zuo, et al.
Energies (2020) Vol. 13, Iss. 1, pp. 265-265
Open Access | Times Cited: 12
A Review on Fault Diagnosis Technology of Key Components in Cold Ironing System
Kai Ding, Chen Yao, Yifan Li, et al.
Sustainability (2022) Vol. 14, Iss. 10, pp. 6197-6197
Open Access | Times Cited: 6
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
Transformer Incipient Fault Detection Technique Based on Neural Network
Gideon Dadzie, Emmanuel Asuming Frimpong, Caleb Myers Allotey, et al.
2022 IEEE PES/IAS PowerAfrica (2020), pp. 1-4
Closed Access | Times Cited: 5
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