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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: 213

Showing 1-25 of 213 citing articles:

Multisynchrosqueezing Transform
Gang Yu, Zhonghua Wang, Ping Zhao
IEEE Transactions on Industrial Electronics (2018) Vol. 66, Iss. 7, pp. 5441-5455
Closed Access | Times Cited: 356
Deep-Convolution-Based LSTM Network for Remaining Useful Life Prediction
Meng Ma, Zhu Mao
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 3, pp. 1658-1667
Closed Access | Times Cited: 336
Knowledge Transfer for Rotary Machine Fault Diagnosis
Ruqiang Yan, Fei Shen, Chuang Sun, et al.
IEEE Sensors Journal (2019) Vol. 20, Iss. 15, pp. 8374-8393
Closed Access | Times Cited: 215
Enhanced Sparse Period-Group Lasso for Bearing Fault Diagnosis
Zhibin Zhao, Shuming Wu, Baijie Qiao, et al.
IEEE Transactions on Industrial Electronics (2018) Vol. 66, Iss. 3, pp. 2143-2153
Closed Access | Times Cited: 188
Sparse Deep Stacking Network for Fault Diagnosis of Motor
Chuang Sun, Meng Ma, Zhibin Zhao, et al.
IEEE Transactions on Industrial Informatics (2018) Vol. 14, Iss. 7, pp. 3261-3270
Closed Access | Times Cited: 179
Bearing fault diagnosis via generalized logarithm sparse regularization
Ziwei Zhang, Weiguo Huang, Yi Liao, et al.
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108576-108576
Closed Access | Times Cited: 167
Periodic impulses extraction based on improved adaptive VMD and sparse code shrinkage denoising and its application in rotating machinery fault diagnosis
Jimeng Li, Xifeng Yao, Hui Wang, et al.
Mechanical Systems and Signal Processing (2019) Vol. 126, pp. 568-589
Closed Access | Times Cited: 150
Time-Reassigned Multisynchrosqueezing Transform for Bearing Fault Diagnosis of Rotating Machinery
Gang Yu, Tian Ran Lin, Zhonghua Wang, et al.
IEEE Transactions on Industrial Electronics (2020) Vol. 68, Iss. 2, pp. 1486-1496
Closed Access | Times Cited: 145
Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning
Yongchao Zhang, Kun Yu, Zihao Lei, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120854-120854
Closed Access | Times Cited: 76
Multiple Enhanced Sparse Decomposition for Gearbox Compound Fault Diagnosis
Ning Li, Weiguo Huang, Wenjun Guo, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 3, pp. 770-781
Closed Access | Times Cited: 107
An adaptive and efficient variational mode decomposition and its application for bearing fault diagnosis
Xingxing Jiang, Jun Wang, Changqing Shen, et al.
Structural Health Monitoring (2020) Vol. 20, Iss. 5, pp. 2708-2725
Closed Access | Times Cited: 99
A simple data augmentation algorithm and a self-adaptive convolutional architecture for few-shot fault diagnosis under different working conditions
Tianhao Hu, Tang Tang, Ronglai Lin, et al.
Measurement (2020) Vol. 156, pp. 107539-107539
Closed Access | Times Cited: 92
Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions
Fei Wang, Ruonan Liu, Qinghua Hu, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 4, pp. 2511-2521
Closed Access | Times Cited: 78
Fast nonlinear blind deconvolution for rotating machinery fault diagnosis
Zongzhen Zhang, Jinrui Wang, Shunming Li, et al.
Mechanical Systems and Signal Processing (2022) Vol. 187, pp. 109918-109918
Closed Access | Times Cited: 64
A recursive sparse representation strategy for bearing fault diagnosis
Changkun Han, Wei Lü, Pengxin Wang, et al.
Measurement (2021) Vol. 187, pp. 110360-110360
Closed Access | Times Cited: 55
Interpretable Neural Network via Algorithm Unrolling for Mechanical Fault Diagnosis
Botao An, Shibin Wang, Zhibin Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 55
Rolling Bearing Compound Fault Diagnosis Based on Parameter Optimization MCKD and Convolutional Neural Network
Shuzhi Gao, Shuo Shi, Yimin Zhang
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-8
Closed Access | Times Cited: 51
Maximum correlation Pearson correlation coefficient deconvolution and its application in fault diagnosis of rolling bearings
Limu Qin, Gang Yang, Qi Sun
Measurement (2022) Vol. 205, pp. 112162-112162
Closed Access | Times Cited: 40
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
A new bearing fault diagnosis method via simulation data driving transfer learning without target fault data
Wenbo Hou, Chunlin Zhang, Yunqian Jiang, et al.
Measurement (2023) Vol. 215, pp. 112879-112879
Closed Access | Times Cited: 30
A comprehensive survey of sparse regularization: Fundamental, state-of-the-art methodologies and applications on fault diagnosis
Qing Li
Expert Systems with Applications (2023) Vol. 229, pp. 120517-120517
Open Access | Times Cited: 30
Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection
Botao An, Shibin Wang, Fuhua Qin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 5, pp. 6007-6020
Closed Access | Times Cited: 27
Multivariate Dynamic Mode Decomposition and Its Application to Bearing Fault Diagnosis
Qixiang Zhang, Rui Yuan, Yong Lv, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 7, pp. 7514-7524
Open Access | Times Cited: 26
Adaptive Fault Components Extraction by Using an Optimized Weights Spectrum Based Index for Machinery Fault Diagnosis
Bingchang Hou, Dong Wang, Zhike Peng, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 1, pp. 985-995
Closed Access | Times Cited: 24
A new approach for sparse optimization with Moreau envelope to extract bearing fault feature
Tianxu Qiu, Weiguo Huang, Zhichao Zhang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111493-111493
Closed Access | Times Cited: 14
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