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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:

One-fault-shot learning for fault severity estimation of gears that addresses differences between simulation and experimental signals and transfer function effects
Omri Matania, Lior Bachar, Varun Khemani, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101945-101945
Closed Access | Times Cited: 16

Showing 16 citing articles:

A systematic literature review of deep learning for vibration-based fault diagnosis of critical rotating machinery: Limitations and challenges
Omri Matania, Itai Dattner, Jacob Bortman, et al.
Journal of Sound and Vibration (2024) Vol. 590, pp. 118562-118562
Closed Access | Times Cited: 15
Fault diagnosis of gearbox driven by vibration response mechanism and enhanced unsupervised domain adaptation
Fei Jiang, Weiqi Lin, Zhaoqian Wu, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102460-102460
Closed Access | Times Cited: 13
Signal Processing for the Condition-Based Maintenance of Rotating Machines via Vibration Analysis: A Tutorial
Omri Matania, Lior Bachar, Eric Bechhoefer, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 454-454
Open Access | Times Cited: 8
A novel empirical random feature decomposition method and its application to gear fault diagnosis
Feng Liu, Junsheng Cheng, Niaoqing Hu, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102394-102394
Closed Access | Times Cited: 6
Anomaly detection of gear wear: introducing a novel health indicator through experimentation and physical investigation
Lior Bachar, Omri Matania, Roee Cohen, et al.
Structural Health Monitoring (2025)
Closed Access
Few-shot learning for estimating gear wear severity towards digital twinning
Roee Cohen, Lior Bachar, Jacob Bortman
Engineering Failure Analysis (2025), pp. 109330-109330
Open Access
Dynamic Modeling and Numerical Analysis of Gear Transmission System with Localized Defects
Yixuan Zeng, Junhui Zhu, Yaoyao Han, et al.
Machines (2025) Vol. 13, Iss. 4, pp. 272-272
Open Access
Differgram: A convex optimization-based method for extracting optimal frequency band for fault diagnosis of rotating machinery
Jianchun Guo, Yi Liu, Ronggang Yang, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123051-123051
Closed Access | Times Cited: 10
Development of an Operational Digital Twin of a Freight Car Braking System for Fault Diagnosis
Gabriel Davidyan, Jacob Bortman, Ron S. Kenett
Advanced Theory and Simulations (2024) Vol. 7, Iss. 6
Open Access | Times Cited: 3
A novel hybrid physical AI-based strategy for fault severity estimation in spur gears with zero-shot learning
Lior Bachar, Omri Matania, Roee Cohen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 204, pp. 110748-110748
Closed Access | Times Cited: 7
Development of an Operational Digital Twin of a Locomotive Parking Brake for Fault Diagnosis
Gabriel Davidyan, Jacob Bortman, Ron S. Kenett
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Digital Twin of a Gear Root Crack Prognosis
Omri Matania, Eric Bechhoefer, Jacob Bortman
Sensors (2023) Vol. 23, Iss. 24, pp. 9883-9883
Open Access | Times Cited: 5
Anomaly Detection and Remaining Useful Life Estimation for the Health and Usage Monitoring Systems 2023 Data Challenge
Omri Matania, Eric Bechhoefer, David Blunt, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4258-4258
Open Access | Times Cited: 1
Digital twin-enabled entropy regularized wavelet attention domain adaptation network for gearboxes fault diagnosis without fault data
Peng Zhu, Lei Deng, Baoping Tang, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103055-103055
Closed Access | Times Cited: 1
Machinery fault diagnosis using multi-scale feature focused network and adaptive cost-sensitive loss towards imbalanced dataset
J. N. Yang, Zhishan Min, Song-Yu Han, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125012-125012
Closed Access | Times Cited: 3
Prognostic fault prevention by segmented digital transformation of manufacturing process signals
Feng Shi, John P.T. Mo
Advanced Engineering Informatics (2023) Vol. 57, pp. 102125-102125
Open Access | Times Cited: 2
Zero-fault-shot learning for bearing spall type classification by hybrid approach
Omri Matania, Roee Cohen, Eric Bechhoefer, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112117-112117
Closed Access
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