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:

Matching Synchroextracting Transform for Mechanical Fault Diagnosis Under Variable-Speed Conditions
Yubo Ma, Yong Lv, Rui Yuan, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-12
Closed Access | Times Cited: 17

Showing 17 citing articles:

Self-Iterated Extracting Wavelet Transform and Its Application to Fault Diagnosis of Rotating Machinery
Bowen Li, Rui Yuan, Yong Lv, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-17
Closed Access | Times Cited: 6

Incipient Bearing Fault Diagnosis Based on the Two-State Theory for Stochastic Resonance Systems
Yajie Zhai, Yuxuan Fu, Yanmei Kang
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 14

Intelligent Diagnosis of Dual-Channel Parallel Rolling Bearings Based on Feature Fusion
Haike Guo, Xiaoqiang Zhao
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10640-10655
Closed Access | Times Cited: 4

Optimized weights Time-Frequency Analysis: A novel method for fault diagnosis in rotating Machinery under Time-Varying speeds
Bin Sun, Hongkun Li, Chaoge Wang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 226, pp. 112345-112345
Closed Access

A local transient feature extraction method via periodic low rank dynamic mode decomposition for bearing incipient fault diagnosis
Qixiang Zhang, Yong Lv, Rui Yuan, et al.
Measurement (2022) Vol. 203, pp. 111973-111973
Closed Access | Times Cited: 16

A variable-speed-condition bearing fault diagnosis methodology with recurrence plot coding and MobileNet-v3 model
Yingkui Gu, Ronghua Chen, Kuan Wu, et al.
Review of Scientific Instruments (2023) Vol. 94, Iss. 3
Closed Access | Times Cited: 9

Novel Time–Frequency Mode Decomposition and Information Fusion for Bearing Fault Diagnosis Under Varying-Speed Condition
Zhen Shan, Zhongqiu Wang, Jianhua Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 9

Frequency-Corrected Synchrosqueezing Reassigning Transform for Fault Diagnosis
Yue Xi, Zihao Lei, Guangrui Wen, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 8, pp. 13073-13084
Closed Access | Times Cited: 3

A novel time-frequency analysis method for fault diagnosis based on generalized S-transform and synchroextracting transform
Hongwei Wang, Zhiwen Fang, Hongli Wang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036101-036101
Closed Access | Times Cited: 8

Multisynchrosqueezing short-time fractional Fourier transform and its application in rolling bearing instantaneous frequency estimation
L. L. Jiang, Jianzhong Hu, Q. Zhou, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025022-025022
Closed Access | Times Cited: 6

Remaining Useful Life Prediction of Rolling Bearings Based on Segmented Relative Phase Space Warping and Particle Filter
Hengyu Liu, Rui Yuan, Yong Lv, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-15
Closed Access | Times Cited: 10

Non-stationary harmonic summation: A novel method for rolling bearing fault diagnosis under variable speed conditions
Shiqian Chen, Bo Xie, Yi Wang, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 3, pp. 1554-1580
Closed Access | Times Cited: 8

A lightweight GAN-based fault diagnosis method based on knowledge distillation and deep transfer learning
Hongyu Zhong, Samson S. Yu, Hieu Trinh, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036103-036103
Closed Access | Times Cited: 4

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