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:

Novel Method for Vibration Sensor-Based Instantaneous Defect Frequency Estimation for Rolling Bearings Under Non-Stationary Conditions
Dezun Zhao, Len Gelman, Fulei Chu, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5201-5201
Open Access | Times Cited: 14

Showing 14 citing articles:

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research
Shreyas Gawde, Shruti Patil, Satish Kumar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106139-106139
Open Access | Times Cited: 123

Multi-Scale Convolutional Recurrent Neural Network for Bearing Fault Detection in Noisy Manufacturing Environments
Seokju Oh, Seugmin Han, Jongpil Jeong
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 3963-3963
Open Access | Times Cited: 20

Vibration health monitoring of rolling bearings under variable speed conditions by novel demodulation technique
Dezun Zhao, Len Gelman, Fulei Chu, et al.
Structural Control and Health Monitoring (2020) Vol. 28, Iss. 2
Open Access | Times Cited: 22

Efficient vibration analysis system using empirical mode decomposition residual signal and multi-axis data
Swapnil Ninawe, R. B. Deshmukh
Journal of Vibration and Control (2024)
Closed Access | Times Cited: 2

Separation of overlapping non-stationary signals and compressive sensing-based reconstruction using instantaneous frequency estimation
Shaik Mohammed Shareef, M. Venu Gopala Rao
Digital Signal Processing (2024) Vol. 155, pp. 104737-104737
Closed Access | Times Cited: 2

Research on Acoustic Methods for Buried PE Pipeline Detection Based on LSTM Neural Networks
Yongsheng Qi, Xinhua Wang, Xuyun Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096001-096001
Closed Access | Times Cited: 1

Fault identification of rolling bearings under linear varying speed based on the slope features of time–frequency ridges
Xiaohan Cheng, Yuan Long, Yuxin Lu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110834-110834
Closed Access | Times Cited: 4

Novel Fault Diagnosis of Bearings and Gearboxes Based on Simultaneous Processing of Spectral Kurtoses
Len Gelman, Gabrijel Peršin
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9970-9970
Open Access | Times Cited: 7

Estimation and interpreting instantaneous frequency of signals in non-stationary measurement sensor systems: An overview
Shaik Mohammed Shareef, M. Venu Gopala Rao
Measurement Sensors (2023) Vol. 27, pp. 100758-100758
Open Access | Times Cited: 3

Laplacian Split-BREAK Process with Application in Dynamic Analysis of the World Oil and Gas Market
Vladica Stojanović, Hassan S. Bakouch, Еуген Љајко, et al.
Axioms (2023) Vol. 12, Iss. 7, pp. 622-622
Open Access | Times Cited: 3

Asymptotic Properties and Application of GSB Process: A Case Study of the COVID-19 Dynamics in Serbia
Mihailo R. Jovanović, Vladica Stojanović, Kristijan Kuk, et al.
Mathematics (2022) Vol. 10, Iss. 20, pp. 3849-3849
Open Access | Times Cited: 5

Investigation of time-varying natural frequencies of high-rise buildings under harsh excitations using a high-resolution combined scheme
Mengmeng Sun, Q.S. Li, Yi Li
Journal of Building Engineering (2022) Vol. 57, pp. 104859-104859
Closed Access | Times Cited: 4

Procedure Proposal for Minimising the Dynamic Error of Second-Order Sensors
Krzysztof Tomczyk, Małgorzata Kowalczyk, Ksenia Ostrowska
Sensors (2022) Vol. 22, Iss. 5, pp. 1901-1901
Open Access | Times Cited: 3

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