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:

Dissolved Gas Analysis of Insulating Oil in Electric Power Transformers: A Case Study Using SDAE-LSTM
Zhao Luo, Zhiyuan Zhang, Xu Yan, et al.
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 16

Showing 16 citing articles:

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
A Novel Ensemble Fault Diagnosis Model for Main Circulation Pumps of Converter Valves in VSC-HVDC Transmission Systems
Sihan Zhou, Liang Qin, Yong Yang, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5082-5082
Open Access | Times Cited: 5
Grid Distribution Fault Occurrence and Remedial Measures Prediction/Forecasting through Different Deep Learning Neural Networks by Using Real Time Data from Tabuk City Power Grid
Fahad M. Almasoudi
Energies (2023) Vol. 16, Iss. 3, pp. 1026-1026
Open Access | Times Cited: 4
Analysis of interference methods on transformers based on the results of dissolved gas analysis tests
Yulianta Siregar, Timothy Juan Hartanto Lumbanraja
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 13, Iss. 4, pp. 3672-3672
Open Access | Times Cited: 4
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
Workload Prediction based on GRU-CNN in Cloud Environment
Zhihao Gan, Peng Chen, Chun Yu, et al.
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) (2022), pp. 472-476
Closed Access | Times Cited: 6
A PSO-LSTM Model of Offshore Wind Power Forecast considering the Variation of Wind Speed in Second-Level Time Scale
Chao Yuan, Yiming Tang, Rui Mei, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 7
Artificial Intelligence for Diagnosing Power Transformer Faults
Safae Bazi, Hasna Nhaila, Mohamed El Khaïli
(2024) Vol. 1, pp. 1-8
Closed Access
Transformer fault diagnosis method based on the three-stage lightweight residual neural network
Hang Liu, Ben Niu, Zhijian Liu, et al.
Electric Power Systems Research (2024) Vol. 238, pp. 111142-111142
Closed Access
Adsorptive Removal of Impurities from Transformer oil using Activated carbon
S. Tamil Selvi, N. Rama Krishna, G. Jeevanantham, et al.
(2024), pp. 1-8
Closed Access
A long short-term memory based prediction model for transformer fault diagnosis using dissolved gas analysis with digital twin technology
Gadepalli Srirama Sarma, B. Ravindranath Reddy, Pradeep M. Nirgude, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 13, Iss. 2, pp. 1266-1266
Open Access | Times Cited: 2
A long short-term memory based prediction model for transformer fault diagnosis using dissolved gas analysis with digital twin technology
Gadepalli Srirama Sarma, B. Ravindranath Reddy, Pradeep M. Nirgude, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 13, Iss. 2, pp. 2166-2166
Open Access | Times Cited: 2
Root Cause Analysis in Power Transformer Failure with Improved Intelligent Methods
Sreelakshmi S Baiju, S. Adarsh
2021 IEEE International Power and Renewable Energy Conference (IPRECON) (2022)
Closed Access | Times Cited: 1
Convolutional Bi-directional Long Short Term Memory Network based Dynamic Fault Diagnosis for Transformer DGA
Lin Luo, Xiaodeng Pei, Shuai Chen
Journal of Physics Conference Series (2021) Vol. 1914, Iss. 1, pp. 012045-012045
Open Access | Times Cited: 1
Research on Machine Learning Based Fault Diagnosis Methods for Power Transformers
Xiaoyu Sun
2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT) (2023), pp. 1309-1315
Closed Access
Load Regulation Margin Analysis for Aluminum Electrolysis Based on Operational State Identification
Haoxiong Wang, Shun Tao, Yonghai Xu, et al.
(2023), pp. 767-774
Closed Access
Page 1

Scroll to top