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:

An improved envelope spectrum via candidate fault frequency optimization-gram for bearing fault diagnosis
Yao Cheng, Shengbo Wang, Bingyan Chen, et al.
Journal of Sound and Vibration (2022) Vol. 523, pp. 116746-116746
Closed Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

A time-frequency spectral amplitude modulation method and its applications in rolling bearing fault diagnosis
Zuhua Jiang, Kun Zhang, Ling Xiang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 185, pp. 109832-109832
Closed Access | Times Cited: 86

Product envelope spectrum optimization-gram: An enhanced envelope analysis for rolling bearing fault diagnosis
Bingyan Chen, Weihua Zhang, James Xi Gu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110270-110270
Open Access | Times Cited: 79

Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network
Xiaoan Yan, Wang‐Ji Yan, Yadong Xu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110664-110664
Closed Access | Times Cited: 47

Feature identification based on cepstrum-assisted frequency slice function for bearing fault diagnosis
C. Ma, Wenxu Zhang, Mengdi Shi, et al.
Measurement (2025), pp. 116753-116753
Closed Access | Times Cited: 1

Bearing fault diagnosis via a parameter-optimized feature mode decomposition
Xiaoan Yan, Minping Jia
Measurement (2022) Vol. 203, pp. 112016-112016
Closed Access | Times Cited: 43

An effective fault diagnosis approach for bearing using stacked de-noising auto-encoder with structure adaptive adjustment
Lerui Chen, Yidan Ma, Heyu Hu, et al.
Measurement (2023) Vol. 214, pp. 112774-112774
Closed Access | Times Cited: 36

CFFsBD: A Candidate Fault Frequencies-Based Blind Deconvolution for Rolling Element Bearings Fault Feature Enhancement
Yao Cheng, Ning Zhou, Zhiwei Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 24

Theoretical analysis and potential engineering application of an energy harvester
Haitao Xu, Shengxi Zhou
International Journal of Mechanical Sciences (2024) Vol. 275, pp. 109284-109284
Closed Access | Times Cited: 13

Noise-robust adaptive feature mode decomposition method for accurate feature extraction in rotating machinery fault diagnosis
Yuyang Chen, Zhiwei Mao, Xiuqun Hou, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111213-111213
Closed Access | Times Cited: 11

A personalized federated meta-learning method for intelligent and privacy-preserving fault diagnosis
Xiangjie Zhang, Chuanjiang Li, Changkun Han, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102781-102781
Closed Access | Times Cited: 10

Adaptive minimum noise amplitude deconvolution and its application for early fault diagnosis of rolling bearings
Xuyang Xie, Lei Zhang, Jintao Wang, et al.
Applied Acoustics (2024) Vol. 220, pp. 109962-109962
Closed Access | Times Cited: 8

Unbalanced Bearing Fault Diagnosis Under Various Speeds Based on Spectrum Alignment and Deep Transfer Convolution Neural Network
Feiyu Lu, Qingbin Tong, Ziwei Feng, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 7, pp. 8295-8306
Closed Access | Times Cited: 35

Global optimal Ramanujan spectrum: A feature extraction method without pseudo-monotonicity
Jian Cheng, Haiyang Pan, Jinde Zheng, et al.
Expert Systems with Applications (2024), pp. 125425-125425
Closed Access | Times Cited: 7

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

Detecting unexpected faults of high-speed train axlebox bearings using multi-node network structure
Yanlong Pan, Cai Yi, Xiaokang Liao, et al.
Measurement (2025), pp. 116641-116641
Closed Access

Axle bearing fault diagnosis for high-speed trains: A comprehensive review of methodologies, technologies, challenges and emerging trends
Meryem Abtane, Khalid Dahi, Hervé Martinez, et al.
Measurement (2025) Vol. 251, pp. 117098-117098
Closed Access

A time-varying instantaneous frequency fault features extraction method of rolling bearing under variable speed
Baojia Chen, Zhichao Hai, Xueliang Chen, et al.
Journal of Sound and Vibration (2023) Vol. 560, pp. 117785-117785
Closed Access | Times Cited: 15

Sensible multiscale symbol dynamic entropy for fault diagnosis of bearing
Hongchuang Tan, Suchao Xie, Hui Zhou, et al.
International Journal of Mechanical Sciences (2023) Vol. 256, pp. 108509-108509
Closed Access | Times Cited: 15

Envelope spectrum neural network with adaptive domain weight harmonization for intelligent bearing fault diagnosis under cross-machine scenarios
Feiyu Lu, Qingbin Tong, Xuedong Jiang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102787-102787
Closed Access | Times Cited: 5

DARTS-based morphological neural network design and application in bearing fault diagnosis
Sitian Peng, Jingwen Jiang, Qiaofeng Ou, et al.
Measurement (2024) Vol. 234, pp. 114805-114805
Closed Access | Times Cited: 4

Synchronous averaging with sliding narrowband filtering for low-speed bearing fault diagnosis
Yukun Huang, Kun Wang, Zhenhong Deng, et al.
Journal of Sound and Vibration (2024) Vol. 586, pp. 118503-118503
Closed Access | Times Cited: 4

The SAMgram: a novel local enhancement and targeted extraction strategy for weak bearing fault characteristics
Zuhua Jiang, Zuhua Jiang, Xiangfeng Zhang, et al.
Structural Health Monitoring (2025)
Closed Access

Fault diagnosis of rolling bearings based on ICFFsgram and ratio correction method
Baoyu Huang, weiqiang yu, Xiaoming Zhao, et al.
Measurement (2025), pp. 116723-116723
Closed Access

Multi-period impulse cyclic spectrum based on optimized RSSD for bearing compound fault diagnosis
Xiaofeng Liu, Qiushi Xu, Daiping Wei, et al.
Applied Acoustics (2025) Vol. 231, pp. 110525-110525
Closed Access

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