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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:

Pre-Processing Method to Improve Cross-Domain Fault Diagnosis for Bearing
Tae-Yun Kim, Jangbom Chai
Sensors (2021) Vol. 21, Iss. 15, pp. 4970-4970
Open Access | Times Cited: 12

Showing 12 citing articles:

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
Interpretable physics-informed domain adaptation paradigm for cross-machine transfer diagnosis
Chao He, Hongmei Shi, Xiaorong Liu, et al.
Knowledge-Based Systems (2024) Vol. 288, pp. 111499-111499
Closed Access | Times Cited: 20
Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities
Ruqiang Yan, Weihua Li, Siliang Lu, et al.
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 5
Cross domain fault diagnosis based on generative adversarial networks
Mohammed Alabsi, Larry Pearlstein, Michael Franco-Garcia
Journal of Vibration and Control (2023) Vol. 30, Iss. 13-14, pp. 3184-3194
Closed Access | Times Cited: 6
Robust deep learning-based fault detection of planetary gearbox using enhanced health data map under domain shift problem
Taewan Hwang, Jong Moon Ha, Byeng D. Youn
Journal of Computational Design and Engineering (2023) Vol. 10, Iss. 4, pp. 1677-1693
Open Access | Times Cited: 4
Weighted Domain Adaptation Using the Graph-Structured Dataset Representation for Machinery Fault Diagnosis under Varying Operating Conditions
Junhyuk Choi, D.I. Kong, Hyunbo Cho
Sensors (2023) Vol. 24, Iss. 1, pp. 188-188
Open Access | Times Cited: 3
Improving cross-domain generalizability of medical image segmentation using uncertainty and shape-aware continual test-time domain adaptation
Jiayi Zhu, Bart Bolsterlee, Yang Song, et al.
Medical Image Analysis (2024) Vol. 101, pp. 103422-103422
Closed Access
Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images
Jiayi Zhu, Bart Bolsterlee, Brian V. Y. Chow, et al.
Lecture notes in computer science (2023), pp. 659-669
Closed Access | Times Cited: 1
Fault Diagnosis of Bearings With the Common-Domain Data
Tae-Yun Kim, Jangbom Chai
IEEE Access (2022) Vol. 10, pp. 45457-45470
Open Access | Times Cited: 2
Cross-Component Transferable Transformer Pipeline Obeying Dynamic Seesaw for Rotating Machinery with Imbalanced Data
Binbin Xu, Boquan Ma, Zheng Rong Yang, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7431-7431
Open Access
Fault Detection and Diagnosis of Rotating Machinery Based on Universal Feature Extraction and Selection
Min Ki Kim
Asia-pacific Journal of Convergent Research Interchange (2023) Vol. 9, Iss. 12, pp. 115-125
Open Access
Cross-Domain Fault Diagnosis of Bearings Using Simple Structure Model Combining with Signal Processing Method
Tae-Yun Kim, Jangbom Chai
2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) (2021) Vol. 3, pp. 1-6
Closed Access
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