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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:

Intelligent fault identification of rotary machinery using refined composite multi-scale Lempel–Ziv complexity
Yongbo Li, Shun Wang, Zichen Deng
Journal of Manufacturing Systems (2020) Vol. 61, pp. 725-735
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication
Dongdong Liu, Lingli Cui, Weidong Cheng
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 012002-012002
Closed Access | Times Cited: 87
Dispersion entropy-based Lempel-Ziv complexity: A new metric for signal analysis
Yuxing Li, Bo Geng, Shangbin Jiao
Chaos Solitons & Fractals (2022) Vol. 161, pp. 112400-112400
Closed Access | Times Cited: 74
Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots
Jianyu Long, Jindong Mou, Liangwei Zhang, et al.
Journal of Manufacturing Systems (2020) Vol. 61, pp. 736-745
Closed Access | Times Cited: 121
A spiking neural network-based approach to bearing fault diagnosis
Lin Zuo, Lei Zhang, Zhehan Zhang, et al.
Journal of Manufacturing Systems (2020) Vol. 61, pp. 714-724
Closed Access | Times Cited: 84
Bearing Fault Feature Extraction Method Based on GA-VMD and Center Frequency
Yuxing Li, Bingzhao Tang, Xinru Jiang, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 62
Early fault diagnosis of rotating machinery based on composite zoom permutation entropy
Chenyang Ma, Yongbo Li, Xianzhi Wang, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108967-108967
Closed Access | Times Cited: 47
An Oversampling Method of Unbalanced Data for Mechanical Fault Diagnosis Based on MeanRadius-SMOTE
Feng Duan, Shuai Zhang, Yinze Yan, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5166-5166
Open Access | Times Cited: 39
Multivariate multiscale dispersion Lempel–Ziv complexity for fault diagnosis of machinery with multiple channels
Shun Wang, Yongbo Li, Khandaker Noman, et al.
Information Fusion (2023) Vol. 104, pp. 102152-102152
Closed Access | Times Cited: 25
Interpretable domain adaptation transformer: a transfer learning method for fault diagnosis of rotating machinery
Dongdong Liu, Lingli Cui, Gang Wang, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 14
Fuzzy dispersion entropy-based Lempel-Ziv complexity and its multiscale version for measuring the complexity of time series
Yuxing Li, Yan Liu, Gao Xiang
Applied Acoustics (2025) Vol. 233, pp. 110620-110620
Closed Access | Times Cited: 1
Refined composite multiscale fluctuation-based dispersion Lempel–Ziv complexity for signal analysis
Yuxing Li, Shangbin Jiao, Bo Geng
ISA Transactions (2022) Vol. 133, pp. 273-284
Closed Access | Times Cited: 37
A fault diagnosis method of rotating machinery based on improved multiscale attention entropy and random forests
Fei Chen, Liyao Zhang, Wen‐Shen Liu, et al.
Nonlinear Dynamics (2023) Vol. 112, Iss. 2, pp. 1191-1220
Open Access | Times Cited: 16
A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer’s Disease Using EEG Signals
Mahshad Ouchani, Shahriar Gharibzadeh, Mahdieh Jamshidi, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-15
Open 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
Intelligent fault diagnosis of wind turbine gearboxes based on refined generalized multi-scale state joint entropy and robust spectral feature selection
Wei Dong, Shuqing Zhang, Mengfei Hu, et al.
Nonlinear Dynamics (2022) Vol. 107, Iss. 3, pp. 2485-2517
Closed Access | Times Cited: 24
An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series complexity
Hani Ghamkhar, Mohammadreza Jalili Ghazizadeh, Seyed Hossein Mohajeri, et al.
Sustainable Cities and Society (2023) Vol. 94, pp. 104516-104516
Closed Access | Times Cited: 14
A Novel Spiking Graph Attention Network for Intelligent Fault Diagnosis of Planetary Gearboxes
Shunxin Cao, Hongkun Li, Kongliang Zhang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 12, pp. 13140-13154
Closed Access | Times Cited: 13
A nonlinear dynamics method using multi-sensor signal fusion for fault diagnosis of rotating machinery
Fei Chen, Jie Liu, Xiaoxi Hu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103190-103190
Closed Access
Early-Fault Feature Extraction for Rolling Bearings Based on Parameter-Optimized Variation Mode Decomposition
Jun Ni, Gangjin Huang, Jing Yang, et al.
Machines (2025) Vol. 13, Iss. 3, pp. 210-210
Open Access
Denoising diffusion probabilistic model-enabled data augmentation method for intelligent machine fault diagnosis
Pengcheng Zhao, Zhang We, Xiaoshan Cao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109520-109520
Closed Access | Times Cited: 4
An effective multi-channel fault diagnosis approach for rotating machinery based on multivariate generalized refined composite multi-scale sample entropy
Zhenya Wang, Hui Chen, Ligang Yao, et al.
Nonlinear Dynamics (2021) Vol. 106, Iss. 3, pp. 2107-2130
Closed Access | Times Cited: 26
Improvement of an Industrial Robotic Flaw Detection System
Riyadh Nazar Ali Algburi, Hongli Gao, Zaid Al‐Huda
IEEE Transactions on Automation Science and Engineering (2022) Vol. 19, Iss. 4, pp. 3953-3967
Closed Access | Times Cited: 17
Interpreting the Lempel–Ziv complexity of acoustic emission signals for identifying damage modes in composite materials
Claudia Barile, Caterina Casavola, Giovanni Pappalettera, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 3, pp. 1708-1720
Closed Access | Times Cited: 14
Manifold learning and Lempel-Ziv complexity-based fault severity recognition method for bearing
Jiancheng Yin, Xuye Zhuang, Wentao Sui, et al.
Measurement (2023) Vol. 213, pp. 112714-112714
Closed Access | Times Cited: 8
A universal hydraulic-mechanical diagnostic framework based on feature extraction of abnormal on-field measurements: Application in micro pumped storage system
Zhigao Zhao, Fei Chen, Xianghui He, et al.
Applied Energy (2023) Vol. 357, pp. 122478-122478
Closed Access | Times Cited: 8
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