Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A group sparse representation method in frequency domain with adaptive parameters optimization of detecting incipient rolling bearing fault
Kai Zheng, Dewei Yang, Bin Zhang, et al.
Journal of Sound and Vibration (2019) Vol. 462, pp. 114931-114931
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Multi-source fidelity sparse representation via convex optimization for gearbox compound fault diagnosis
Weiguo Huang, Zeshu Song, Cheng Zhang, et al.
Journal of Sound and Vibration (2020) Vol. 496, pp. 115879-115879
Closed Access | Times Cited: 70
A novel time-frequency slice extraction method for target recognition and local enhancement of non-stationary signal features
Chaoyong Ma, Liang Chen, Zuhua Jiang, et al.
ISA Transactions (2024) Vol. 146, pp. 319-335
Closed Access | Times Cited: 13
Bearing incipient fault feature extraction using adaptive period matching enhanced sparse representation
Renhe Yao, Hongkai Jiang, Xingqiu Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 166, pp. 108467-108467
Closed Access | Times Cited: 51
Condition monitoring and fault detection in roller bearing used in rolling mill by acoustic emission and vibration analysis
Nilesh Nirwan, Hardik B. Ramani
Materials Today Proceedings (2021) Vol. 51, pp. 344-354
Closed Access | Times Cited: 50
Stochastic resonance of a high-order-degradation bistable system and its application in fault diagnosis with variable speed condition
Haitao Xu, Shengxi Zhou, Tao Yang
Mechanical Systems and Signal Processing (2022) Vol. 186, pp. 109852-109852
Closed Access | Times Cited: 27
Periodicity-enhanced sparse representation for rolling bearing incipient fault detection
Renhe Yao, Hongkai Jiang, Zhenghong Wu, et al.
ISA Transactions (2021) Vol. 118, pp. 219-237
Closed Access | Times Cited: 32
Interpretable sparse learned weights and their entropy based quantification for online machine health monitoring
Tongtong Yan, Dong Wang, Meimei Zheng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 199, pp. 110493-110493
Closed Access | Times Cited: 11
An enhanced K-SVD denoising algorithm based on adaptive soft-threshold shrinkage for fault detection of wind turbine rolling bearing
Jimeng Li, Ze Wang, Qiang Li, et al.
ISA Transactions (2023) Vol. 142, pp. 454-464
Closed Access | Times Cited: 11
Application of ICEEMDAN Energy Entropy and AFSA-SVM for Fault Diagnosis of Hoist Sheave Bearing
Ziming Kou, Fen Yang, Juan Wu, et al.
Entropy (2020) Vol. 22, Iss. 12, pp. 1347-1347
Open Access | Times Cited: 29
Death mechanism-based moth–flame optimization with improved flame generation mechanism for global optimization tasks
Zhifu Li, Junhai Zeng, YangQuan Chen, et al.
Expert Systems with Applications (2021) Vol. 183, pp. 115436-115436
Closed Access | Times Cited: 25
A Fault Feature Extraction Method for DC–DC Converters Based on Automatic Hyperparameter-Optimized 1-D Convolution and Long Short-Term Memory Neural Networks
Yuanyuan Jiang, Ling Xia, Jie Zhang
IEEE Journal of Emerging and Selected Topics in Power Electronics (2021) Vol. 10, Iss. 4, pp. 4703-4714
Closed Access | Times Cited: 19
A sparsity-enhanced periodic OGS model for weak feature extraction of rolling bearing faults
Zhixin Li, Jimeng Li, Wanmeng Ding, et al.
Mechanical Systems and Signal Processing (2021) Vol. 169, pp. 108733-108733
Closed Access | Times Cited: 18
Vibrational resonance mechanism in the high-order-degradation bistable system and its application in fault diagnosis
Haitao Xu, Shengxi Zhou
Structural Health Monitoring (2024)
Closed Access | Times Cited: 2
Robust sparse representation model for blade tip timing
Zengkun Wang, Zhibo Yang, Haoqi Li, et al.
Journal of Sound and Vibration (2021) Vol. 500, pp. 116028-116028
Closed Access | Times Cited: 17
Sparse enhancement based on the total variational denoising for fault feature extraction of rolling element bearings
Zhang Wan, Xiaoan Yan, Minping Jia
Measurement (2022) Vol. 195, pp. 111163-111163
Closed Access | Times Cited: 12
Multiband weights-induced periodic sparse representation for bearing incipient fault diagnosis
Renhe Yao, Hongkai Jiang, Chunxia Yang, et al.
ISA Transactions (2022) Vol. 136, pp. 483-502
Closed Access | Times Cited: 11
A novel compound fault diagnosis method for rolling bearings based on graph label manifold metric transfer
Guangbin Wang, Shubiao Zhao, Jinhua Chen, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 6, pp. 065010-065010
Closed Access | Times Cited: 6
Optimal periodicity-enhanced group sparse for bearing incipient fault feature extraction
Sicheng Zhang, Hongkai Jiang, Renhe Yao, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 8, pp. 085101-085101
Closed Access | Times Cited: 6
Clustering-based regularized orthogonal matching pursuit algorithm for rolling element bearing fault diagnosis
Yicong Hui, Yanchao Zhang, Jie Tang, et al.
Transactions of the Institute of Measurement and Control (2024)
Closed Access | Times Cited: 2
Adaptive sparse denoising and periodicity weighted spectrum separation for compound bearing fault diagnosis
Jing Meng, Hui Wang, Liye Zhao, et al.
Measurement Science and Technology (2021) Vol. 32, Iss. 8, pp. 085011-085011
Closed Access | Times Cited: 13
A hybrid denoising model using deep learning and sparse representation with application in bearing weak fault diagnosis
Xin Zhou, Haoxuan Zhou, Guangrui Wen, et al.
Measurement (2021) Vol. 189, pp. 110633-110633
Closed Access | Times Cited: 13
Large margin-learning methodology from time-frequency maps and its physically interpretable weights for simultaneous machine health monitoring and fault diagnosis
Tongtong Yan, Dong Wang, Jinzhen Kong, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110615-110615
Closed Access | Times Cited: 5
Low-rank and periodic group sparse based signal denoising method for rolling bearing fault feature extraction
Qian Zhang, Xinxin Li, Weili Tang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115012-115012
Closed Access | Times Cited: 5
Spectral structure inducing efficient variational model for enhancing bearing fault feature
Xin Wang, Xingxing Jiang, Qiuyu Song, et al.
Signal Processing (2023) Vol. 216, pp. 109304-109304
Closed Access | Times Cited: 5
Intelligent Online Monitoring of Rolling Bearing: Diagnosis and Prognosis
Hassane Hotait, Xavier Chiementin, Lanto Rasolofondraibe
Entropy (2021) Vol. 23, Iss. 7, pp. 791-791
Open Access | Times Cited: 11
Page 1 - Next Page

Scroll to top