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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:

Nonconvex Sparse Regularization and Convex Optimization for Bearing Fault Diagnosis
Shibin Wang, Ivan Selesnick, Gaigai Cai, et al.
IEEE Transactions on Industrial Electronics (2018) Vol. 65, Iss. 9, pp. 7332-7342
Closed Access | Times Cited: 214

Showing 26-50 of 214 citing articles:

High-fidelity fault signature extraction of rolling bearings via nonconvex regularized sparse representation enhanced by flexible analytical wavelet transform
Chunlin Zhang, Yudong Qiang, Wenbo Hou, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 5, pp. 2869-2891
Closed Access | Times Cited: 10
Sparsity-enhanced signal decomposition via generalized minimax-concave penalty for gearbox fault diagnosis
Gaigai Cai, Ivan Selesnick, Shibin Wang, et al.
Journal of Sound and Vibration (2018) Vol. 432, pp. 213-234
Open Access | Times Cited: 75
A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis
Zhibin Zhao, Baijie Qiao, Shibin Wang, et al.
Journal of Sound and Vibration (2019) Vol. 446, pp. 429-452
Closed Access | Times Cited: 73
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: 69
Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis
Weiguo Huang, Ning Li, Ivan Selesnick, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 7, pp. 4863-4872
Closed Access | Times Cited: 68
Dual-Enhanced Sparse Decomposition for Wind Turbine Gearbox Fault Diagnosis
Lin Wang, Gaigai Cai, Jun Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2018) Vol. 68, Iss. 2, pp. 450-461
Closed Access | Times Cited: 67
High-accuracy fault feature extraction for rolling bearings under time-varying speed conditions using an iterative envelope-tracking filter
Shiqian Chen, Minggang Du, Zhike Peng, et al.
Journal of Sound and Vibration (2019) Vol. 448, pp. 211-229
Closed Access | Times Cited: 66
Support tensor machine with dynamic penalty factors and its application to the fault diagnosis of rotating machinery with unbalanced data
Zhiyi He, Haidong Shao, Junsheng Cheng, et al.
Mechanical Systems and Signal Processing (2019) Vol. 141, pp. 106441-106441
Open Access | Times Cited: 66
Sparse Elitist Group Lasso Denoising in Frequency Domain for Bearing Fault Diagnosis
Kai Zheng, Tianliang Li, Zuqiang Su, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 7, pp. 4681-4691
Closed Access | Times Cited: 66
Optimization of segmentation fragments in empirical wavelet transform and its applications to extracting industrial bearing fault features
Dong Wang, Kwok‐Leung Tsui, Yong Qin
Measurement (2018) Vol. 133, pp. 328-340
Closed Access | Times Cited: 62
Machine health monitoring based on locally linear embedding with kernel sparse representation for neighborhood optimization
Chuang Sun, Peng Wang, Ruqiang Yan, et al.
Mechanical Systems and Signal Processing (2018) Vol. 114, pp. 25-34
Closed Access | Times Cited: 61
Rolling bearing fault diagnosis based on improved adaptive parameterless empirical wavelet transform and sparse denoising
Jimeng Li, Hui Wang, Xiangdong Wang, et al.
Measurement (2019) Vol. 152, pp. 107392-107392
Closed Access | Times Cited: 60
An Intelligent Fault Diagnosis Method Based on Domain Adaptation and Its Application for Bearings Under Polytropic Working Conditions
Zihao Lei, Guangrui Wen, Shuzhi Dong, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-14
Closed Access | Times Cited: 60
Synthesis versus analysis priors via generalized minimax-concave penalty for sparsity-assisted machinery fault diagnosis
Shibin Wang, Ivan Selesnick, Gaigai Cai, et al.
Mechanical Systems and Signal Processing (2019) Vol. 127, pp. 202-233
Closed Access | Times Cited: 59
Generalized Horizontal Synchrosqueezing Transform: Algorithm and Applications
Xiaotong Tu, Qi Zhang, Zhoujie He, et al.
IEEE Transactions on Industrial Electronics (2020) Vol. 68, Iss. 6, pp. 5293-5302
Closed Access | Times Cited: 52
Self-powered fault diagnosis of rolling bearings based on triboelectric effect
Qinkai Han, Ziyuan Jiang, Xueping Xu, et al.
Mechanical Systems and Signal Processing (2021) Vol. 166, pp. 108382-108382
Closed Access | Times Cited: 51
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
Feature extraction of gear and bearing compound faults based on vibration signal sparse decomposition
Guolin He, Jianlin Li, Kang Ding, et al.
Applied Acoustics (2022) Vol. 189, pp. 108604-108604
Closed Access | Times Cited: 37
Multistate fault diagnosis strategy for bearings based on an improved convolutional sparse coding with priori periodic filter group
Changkun Han, Wei Lü, Huaqing Wang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 188, pp. 109995-109995
Closed Access | Times Cited: 35
A novel weighted sparse classification framework with extended discriminative dictionary for data-driven bearing fault diagnosis
Lingli Cui, Zhichao Jiang, Dongdong Liu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111777-111777
Closed Access | Times Cited: 6
A Deep Learning Network via Shunt-Wound Restricted Boltzmann Machines Using Raw Data for Fault Detection
Tongyang Pan, Jinglong Chen, Jun Pan, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 7, pp. 4852-4862
Closed Access | Times Cited: 44
Reweighted generalized minimax-concave sparse regularization and application in machinery fault diagnosis
Gaigai Cai, Shibin Wang, Xuefeng Chen, et al.
ISA Transactions (2020) Vol. 105, pp. 320-334
Closed Access | Times Cited: 44
Bearing Fault Diagnosis Based on Clustering and Sparse Representation in Frequency Domain
Yixiang Lu, Zhenya Wang, De Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-14
Closed Access | Times Cited: 33
Adversarial domain adaptation of asymmetric mapping with CORAL alignment for intelligent fault diagnosis
Ranran Li, Shunming Li, Kun Xu, et al.
Measurement Science and Technology (2021) Vol. 33, Iss. 5, pp. 055101-055101
Closed Access | Times Cited: 33
Generalized Variable-Step Multiscale Lempel-Ziv Complexity: A Feature Extraction Tool for Bearing Fault Diagnosis
Juanjuan Shi, Zhou Su, Hangyuan Qin, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 15, pp. 15296-15305
Closed Access | Times Cited: 27

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