Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

An Integrated Decision-Making Model for Condition Assessment of Power Transformers Using Fuzzy Approach and Evidential Reasoning
Ruijin Liao, Hanbo Zheng, S. Grzybowski, et al.
IEEE Transactions on Power Delivery (2011) Vol. 26, Iss. 2, pp. 1111-1118
Closed Access | Times Cited: 148

Showing 1-25 of 148 citing articles:

An overview of state-of-the-art partial discharge analysis techniques for condition monitoring
Min Wu, Hong Cao, Jianneng Cao, et al.
IEEE Electrical Insulation Magazine (2015) Vol. 31, Iss. 6, pp. 22-35
Closed Access | Times Cited: 255
Evidential Supplier Selection Based on DEMATEL and Game Theory
Tianyu Liu, Yong Deng, Felix T.S. Chan
International Journal of Fuzzy Systems (2017) Vol. 20, Iss. 4, pp. 1321-1333
Closed Access | Times Cited: 209
Dissolved gas analysis of insulating oil for power transformer fault diagnosis with deep belief network
Jiejie Dai, Hui Song, Gehao Sheng, et al.
IEEE Transactions on Dielectrics and Electrical Insulation (2017) Vol. 24, Iss. 5, pp. 2828-2835
Closed Access | Times Cited: 206
A comprehensive comparative study of DGA based transformer fault diagnosis using fuzzy logic and ANFIS models
Shakeb A. Khan, Md. Danish Equbal, Tarikul Islam
IEEE Transactions on Dielectrics and Electrical Insulation (2015) Vol. 22, Iss. 1, pp. 590-596
Closed Access | Times Cited: 173
A novel model based on wavelet LS-SVM integrated improved PSO algorithm for forecasting of dissolved gas contents in power transformers
Hanbo Zheng, Yiyi Zhang, Jiefeng Liu, et al.
Electric Power Systems Research (2017) Vol. 155, pp. 196-205
Closed Access | Times Cited: 119
An integrated method of ANFIS and Dempster-Shafer theory for fault diagnosis of power transformer
Tusongjiang Kari, Wensheng Gao, Dongbo Zhao, et al.
IEEE Transactions on Dielectrics and Electrical Insulation (2018) Vol. 25, Iss. 1, pp. 360-371
Closed Access | Times Cited: 112
Dissolved gas analysis of mineral oil for power transformer fault diagnosis using fuzzy logic
Yann‐Chang Huang, Huo‐Ching Sun
IEEE Transactions on Dielectrics and Electrical Insulation (2013) Vol. 20, Iss. 3, pp. 974-981
Closed Access | Times Cited: 111
Advances in DGA based condition monitoring of transformers: A review
Shufali Ashraf Wani, Ankur Singh Rana, Shiraz Sohail, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 149, pp. 111347-111347
Closed Access | Times Cited: 75
Accurate Sensing of Power Transformer Faults From Dissolved Gas Data Using Random Forest Classifier Aided by Data Clustering Method
Nasirul Haque, Aadil Jamshed, Kingshuk Chatterjee, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 6, pp. 5902-5910
Closed Access | Times Cited: 45
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
Pristine and Ni-doped WTe2 monolayer for adsorption and sensing of C2H2 and C2H4 in oil-immersed transformers: A DFT study
Fu Li, Feng Chen, Hao Cui, et al.
Computational and Theoretical Chemistry (2023) Vol. 1226, pp. 114187-114187
Closed Access | Times Cited: 22
Hydrothermal Synthesis of Various Hierarchical ZnO Nanostructures and Their Methane Sensing Properties
Qu Zhou, Weigen Chen, Lingna Xu, et al.
Sensors (2013) Vol. 13, Iss. 5, pp. 6171-6182
Open Access | Times Cited: 84
Adsorption Mechanism of Cu-Doped SnO2 (110) Surface toward H2 Dissolved in Power Transformer
Feng Wang, Jingmin Fan, Qiuqin Sun, et al.
Journal of Nanomaterials (2016) Vol. 2016, pp. 1-9
Open Access | Times Cited: 70
Adsorption characteristic of Rh-doped MoSe2 monolayer towards H2 and C2H2 for DGA in transformer oil based on DFT method
Yongze Zhang, Xiao Cui Sun, Shi Tan, et al.
Applied Surface Science (2019) Vol. 487, pp. 930-937
Closed Access | Times Cited: 70
Dissolved Gas Analysis Principle-Based Intelligent Approaches to Fault Diagnosis and Decision Making for Large Oil-Immersed Power Transformers: A Survey
Lefeng Cheng, Tao Yu
Energies (2018) Vol. 11, Iss. 4, pp. 913-913
Open Access | Times Cited: 65
Integrating Nanomaterial and High‐Performance Fuzzy‐Based Machine Learning Approach for Green Energy Conversion
A. V. L. N. Sujith, Rotti Srinivasamurthy Swathi, R. Venkatasubramanian, et al.
Journal of Nanomaterials (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 27
Ni-Dispersed PdS2 Monolayer as a Potential Sensing Material for Dissolved Gas Analysis in Electrical Transformers: A First-Principles Study
Jiaying Yu, Xiu Zhou, Hao Cui, et al.
ACS Omega (2024) Vol. 9, Iss. 5, pp. 5829-5837
Open Access | Times Cited: 7
DFT Study of Pd-doped ZrCl2: A Promising Solution for Dissolved Gas Molecules Analysis in Transformer Oil
Yashasvi Naik, Disha Mehta, H.R. Mahida, et al.
Physical Chemistry Chemical Physics (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
Pd-Doped SnO2-Based Sensor Detecting Characteristic Fault Hydrocarbon Gases in Transformer Oil
Weigen Chen, Qu Zhou, Tuoyu Gao, et al.
Journal of Nanomaterials (2013) Vol. 2013, pp. 1-9
Open Access | Times Cited: 68
Fault diagnosis of wind turbine based on multi‐sensors information fusion technology
Jun Hang, Jianzhong Zhang, Ming Cheng
IET Renewable Power Generation (2014) Vol. 8, Iss. 3, pp. 289-298
Open Access | Times Cited: 64
Fault Diagnosis of Power Transformers Using Computational Intelligence: A Review
Huo‐Ching Sun, Yann-Chang Huang, Chao‐Ming Huang
Energy Procedia (2012) Vol. 14, pp. 1226-1231
Open Access | Times Cited: 64
Research on multi‐attribute decision‐making in condition evaluation for power transformer using fuzzy AHP and modified weighted averaging combination
Lingjie Sun, Zhao Ma, Yuwei Shang, et al.
IET Generation Transmission & Distribution (2016) Vol. 10, Iss. 15, pp. 3855-3864
Closed Access | Times Cited: 56
Hybrid RVM–ANFIS algorithm for transformer fault diagnosis
Jingmin Fan, Feng Wang, Qiuqin Sun, et al.
IET Generation Transmission & Distribution (2017) Vol. 11, Iss. 14, pp. 3637-3643
Closed Access | Times Cited: 53
An Integrated Decision-Making Model for Transformer Condition Assessment Using Game Theory and Modified Evidence Combination Extended by D Numbers
Lingjie Sun, Yingyi Liu, Boyang Zhang, et al.
Energies (2016) Vol. 9, Iss. 9, pp. 697-697
Open Access | Times Cited: 52
Page 1 - Next Page

Scroll to top