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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:

Research on a Rolling Bearing Fault Detection Method With Wavelet Convolution Deep Transfer Learning
Mengliang Liao, Chang Liu, Cong Wang, et al.
IEEE Access (2021) Vol. 9, pp. 45175-45188
Open Access | Times Cited: 19

Showing 19 citing articles:

Wavelet transform for rotary machine fault diagnosis:10 years revisited
Ruqiang Yan, Zuogang Shang, Hong Xu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110545-110545
Closed Access | Times Cited: 100
Physics-informed interpretable wavelet weight initialization and balanced dynamic adaptive threshold for intelligent fault diagnosis of rolling bearings
Chao He, Hongmei Shi, Jin Si, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 579-592
Closed Access | Times Cited: 59
A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
Mehdi Saman Azari, Francesco Flammini, Stefania Santini, et al.
IEEE Access (2023) Vol. 11, pp. 12887-12910
Open Access | Times Cited: 42
A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay
Sulaiman Aburakhia, Ryan Myers, Abdallah Shami
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-13
Open Access | Times Cited: 33
Optimizing machine learning algorithms for fault classification in rolling bearings: A Bayesian Optimization approach
Muhammad Zain Yousaf, Josep M. Guerrero, Muhammad Tariq Sadiq
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110597-110597
Closed Access
An Interpretable Multiplication-Convolution Network for Equipment Intelligent Edge Diagnosis
Rui Liu, Xiaoxi Ding, Qihang Wu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 6, pp. 3284-3295
Closed Access | Times Cited: 4
An Open Set Diagnosis Method for Rolling Bearing Faults Based on Prototype and Reconstructed Integrated Network
Hongchun Sun, Boshi Yang, Senmiao Lin
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-10
Closed Access | Times Cited: 14
On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
Sulaiman Aburakhia, Abdallah Shami, George K. Karagiannidis
(2024)
Open Access | Times Cited: 2
Wind Turbine Bearing Incipient Fault Diagnosis Based on Adaptive Exponential Wavelet Threshold Function With Improved CPSO
Xiaojia Kong, Tongle Xu, Junqing Ji, et al.
IEEE Access (2021) Vol. 9, pp. 122457-122473
Open Access | Times Cited: 16
A comprehensive review of mechanical fault diagnosis methods based on convolutional neural network
Junjian Hou, Xikang Lu, Yudong Zhong, et al.
Journal of Vibroengineering (2023) Vol. 26, Iss. 1, pp. 44-65
Open Access | Times Cited: 5
Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment
Yifei Ding, Minping Jia, Yudong Cao, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1313-1323
Closed Access | Times Cited: 4
A Double Interpolation and Mutation Interval Reconstruction LMD and Its Application in Fault Diagnosis of Reciprocating Compressor
Haiyang Zhao, Xue Li, Zujian Liu, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7543-7543
Open Access | Times Cited: 4
Failure acceleration and condition diagnosis of ball bearings by an excitation mechanism using piezo actuators
Akira Heya, Y. Inoue, Tsuyoshi INOUE
Mechanical Systems and Signal Processing (2024) Vol. 213, pp. 111319-111319
Closed Access | Times Cited: 1
Bearing-Fault Diagnosis with Signal-to-RGB Image Mapping and Multichannel Multiscale Convolutional Neural Network
Ming Xu, Jinfeng Gao, Zhong Zhang, et al.
Entropy (2022) Vol. 24, Iss. 11, pp. 1569-1569
Open Access | Times Cited: 7
Bearing fault diagnosis based on wavelet sparse convolutional network and acoustic emission compression signals
Jinyi Tai, Chang Liu, Xing Wu, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 8, pp. 8057-8080
Open Access | Times Cited: 6
Ball Screw Fault Diagnosis Based on Wavelet Convolution Transfer Learning
Yifan Xie, Chang Liu, L. J. Huang, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 6270-6270
Open Access | Times Cited: 5
Knowledge and Data Dual-Driven Fault Diagnosis in Industrial Scenarios: A Survey
Yimeng Wang, Jie Shen, Shusen Yang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 19256-19277
Closed Access
Performance analysis of pre-trained transfer learning models for the classification of the rolling bearing faults
Pavan Sharma, Hemant Amhia, Sunil Datt Sharma
Journal of Physics Conference Series (2021) Vol. 2070, Iss. 1, pp. 012141-012141
Open Access | Times Cited: 3
A Novel Fault Diagnosis Method Based on MADCNN for Rolling Bearings
Yangde Gao, Farzin Piltan, Zahoor Ahmad, et al.
Frontiers in artificial intelligence and applications (2022)
Open Access
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