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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:

Time-extracting S-transform algorithm and its application in rolling bearing fault diagnosis
Yonggang Xu, Liang Wang, Aijun Hu, et al.
Science China Technological Sciences (2022) Vol. 65, Iss. 4, pp. 932-942
Closed Access | Times Cited: 15

Showing 15 citing articles:

A multi-scale convolutional neural network for bearing compound fault diagnosis under various noise conditions
Yanrui Jin, Chengjin Qin, ZhiNan Zhang, et al.
Science China Technological Sciences (2022) Vol. 65, Iss. 11, pp. 2551-2563
Closed Access | Times Cited: 44
Second-order transient-extracting S transform for fault feature extraction in rolling bearings
Yi Liu, Hang Xiang, Zhansi Jiang, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108955-108955
Closed Access | Times Cited: 19
Fault diagnosis of control moment gyroscope based on a new CNN scheme using attention-enhanced convolutional block
Haotian Zhao, Ming Liu, Yiyong Sun, et al.
Science China Technological Sciences (2022) Vol. 65, Iss. 11, pp. 2605-2616
Closed Access | Times Cited: 16
Applications of improved linear chirplet time frequency representation to Machine bearing fault analysis
Junbo Long, Haibin Wang, Hongshe Fan, et al.
Measurement (2023) Vol. 209, pp. 112460-112460
Closed Access | Times Cited: 8
Extraction and diagnosis of rolling bearing fault signals based on improved wavelet transform
Zhiqing Cheng
Journal of Measurements in Engineering (2023) Vol. 11, Iss. 4, pp. 420-436
Open Access | Times Cited: 6
Rolling Bearing Fault Diagnosis Based on Time-Frequency Transform-Assisted CNN: A Comparison Study
Baoye Song, Yiyan Liu, Peng Lu, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2023)
Closed Access | Times Cited: 5
Unsupervised construction of health indicator for rotating machinery via multi-criterion feature selection and attentive variational autoencoder
Xinyu Li, Changming Cheng, Zhike Peng
Science China Technological Sciences (2024) Vol. 67, Iss. 5, pp. 1524-1537
Closed Access | Times Cited: 1
Iterative Rounded Transient-Synchrosqueezing- Extracting Transform and its Application
Dahuan Wei, Bo Wang, Zhengjie Lu, et al.
IEEE Transactions on Industrial Electronics (2022) Vol. 70, Iss. 10, pp. 10567-10577
Closed Access | Times Cited: 3
Bearing fault diagnosis method for unbalance data based on Gramian angular field
Ping Yu, Rongbin Li, Jie Cao, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 47, Iss. 1-2, pp. 45-54
Closed Access
Fault Diagnosis of Gear Pump Based on Cyclic Impulse Characteristic Decomposition
Tao Tian, Yanfeng Peng, Yanfei Liu, et al.
IEEE Sensors Journal (2024) Vol. 25, Iss. 4, pp. 6646-6658
Closed Access
Efficient Speech Signal Accent Recognition Algorithm based on Feature Fusion
Rong Zeng
(2024), pp. 390-395
Closed Access
Fractional lower order linear chirplet transform and its application to bearing fault analysis
Junbo Long, Haibin Wang, Hongshe Fan, et al.
PLoS ONE (2022) Vol. 17, Iss. 10, pp. e0276489-e0276489
Open Access | Times Cited: 2
Fault diagnosis method for unbalance data based on Gramian angular field
Ping Yu, Rongbin Li, student Cao, et al.
Research Square (Research Square) (2023)
Open Access
A Symmetrized Dot Pattern Extraction Method Based on Frobenius and Nuclear Hybrid Norm Penalized Robust Principal Component Analysis and Decomposition and Reconstruction
Lijing Wang, Shichun Wei, Xi Tao, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8509-8509
Open Access
Shallow machine learning fault diagnosis for industrial equipment based on vibration data
Yunxia Wang, Xiaolin Sun, Yun Shi
(2023), pp. 1-8
Closed Access
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