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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 fault diagnosis method for nuclear power plant rotating machinery based on adaptive deep feature extraction and multiple support vector machines
Wenzhe Yin, Hong Xia, Xueying Huang, et al.
Progress in Nuclear Energy (2023) Vol. 164, pp. 104862-104862
Closed Access | Times Cited: 16

Showing 16 citing articles:

Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
Cross-operating-condition fault diagnosis of a small module reactor based on CNN-LSTM transfer learning with limited data
Run Luo, Yadong Li, Huiyu Guo, et al.
Energy (2024), pp. 133901-133901
Closed Access | Times Cited: 6
An adaptive fault diagnosis method for rotating machinery based on GCN deep feature extraction and OptGBM
Linjun Wang, Zhenxiong Wu, Haihua Wu, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2025) Vol. 47, Iss. 2
Closed Access
A deep residual neural network model for synchronous motor fault diagnostics
S. Ida Evangeline, S. Darwin, E. Fantin Irudaya Raj
Applied Soft Computing (2024) Vol. 160, pp. 111683-111683
Closed Access | Times Cited: 4
Milling Machine Fault Diagnosis Using Acoustic Emission and Hybrid Deep Learning with Feature Optimization
Muhammad Umar, Muhammad Siddique, N. Ullah, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10404-10404
Open Access | Times Cited: 4
Intelligent bearing faults diagnosis in non-stationary conditions based on angular resampling and support vector machine
Fatma Bouali, Semchedine Fedala, Hugo André, et al.
Comptes Rendus Mécanique (2025) Vol. 353, Iss. G1, pp. 499-518
Open Access
Fault diagnosis in reactor coolant pump with an automatic CNN-based mixed model
Jianping Zhang, Jingyu Liang, Jie Liu
Progress in Nuclear Energy (2024) Vol. 175, pp. 105294-105294
Closed Access | Times Cited: 3
Research on Power Equipment Fault Diagnosis Based on Improved SVM Algorithm
Ningyuan Yu Renjie Wang
Deleted Journal (2024) Vol. 20, Iss. 5s, pp. 112-125
Open Access | Times Cited: 1
Unsupervised quantitative judgment of furnace combustion state with CBAM-SCAE-based flame feature extraction
You Lv, Xinyu Qi, Xi Zheng, et al.
Journal of the Energy Institute (2024) Vol. 116, pp. 101733-101733
Closed Access | Times Cited: 1
Fault Diagnosis in Reactor Coolant Pump with an Automatic Cnn-Based Mixed Model
Jianping Zhang, Jingyu Liang, Jie Liu
(2024)
Closed Access
Interpretable machine learning boosting the discovery of targeted organometallic compounds with optimal bandgap
Taehyun Park, Junho Song, Jinyoung Jeong, et al.
Materials Today Advances (2024) Vol. 23, pp. 100520-100520
Open Access
Influence of Temperature on Brushless Synchronous Machine Field Winding Interturn Fault Severity Estimation
Rubén Pascual Jimenez, Eduardo Rivero, José M. Guerrero, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 8061-8061
Open Access
In-depth research on fault diagnosis of turbine rotor utilizing NGSABO-Optimized VMD and CNN-BiLSTM
Hao Wen, H. Wang, Ronglin Wang, et al.
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045205-045205
Closed Access
An adaptive fault diagnosis method for rotating machinery based on GCN deep feature extraction and OptGB
Linjun Wang, Zhenxiong Wu, Haihua Wu, et al.
Research Square (Research Square) (2024)
Open Access
A fault diagnosis method for rotating machinery in nuclear power plants based on long short-term memory and temporal convolutional networks
Pengfei Wang, Yide Liu, Zheng Liu
Annals of Nuclear Energy (2024) Vol. 213, pp. 111092-111092
Closed Access
Research on an intelligent fault diagnosis method for nuclear power plants based on ETCN-SSA combined algorithm
Jiayan Fang, Siwei Li, Yichun Wu, et al.
Annals of Nuclear Energy (2024) Vol. 213, pp. 111138-111138
Closed Access
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