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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:

A new fault diagnosis method based on adaptive spectrum mode extraction
Zhijian Wang, Ningning Yang, Naipeng Li, et al.
Structural Health Monitoring (2021) Vol. 20, Iss. 6, pp. 3354-3370
Closed Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Central frequency mode decomposition and its applications to the fault diagnosis of rotating machines
Xingxing Jiang, Qiuyu Song, Haien Wang, et al.
Mechanism and Machine Theory (2022) Vol. 174, pp. 104919-104919
Closed Access | Times Cited: 103
A novel bearing intelligent fault diagnosis method based on spectrum sparse deep deconvolution
Huifang Shi, Yonghao Miao, Chenhui Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108102-108102
Closed Access | Times Cited: 19
Knowledge Embedded Autoencoder Network for Harmonic Drive Fault Diagnosis Under Few-Shot Industrial Scenarios
Jiaxian Chen, Kairu Wen, Jingyan Xia, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22915-22925
Closed Access | Times Cited: 16
Multiscale inverted residual convolutional neural network for intelligent diagnosis of bearings under variable load condition
Wenlei Zhao, Zhijian Wang, Wenan Cai, et al.
Measurement (2021) Vol. 188, pp. 110511-110511
Closed Access | Times Cited: 82
Long-range dependence and heavy tail characteristics for remaining useful life prediction in rolling bearing degradation
Wanqing Song, Liu He, Enrico Zio
Applied Mathematical Modelling (2021) Vol. 102, pp. 268-284
Closed Access | Times Cited: 73
Intelligent fault diagnosis of rolling bearing using variational mode extraction and improved one-dimensional convolutional neural network
Maoyou Ye, Xiaoan Yan, Ning Chen, et al.
Applied Acoustics (2022) Vol. 202, pp. 109143-109143
Closed Access | Times Cited: 60
Fault diagnosis for rolling bearing using a hybrid hierarchical method based on scale-variable dispersion entropy and parametric t-SNE algorithm
Wei Jiang, Yanhe Xu, Zhong Chen, et al.
Measurement (2022) Vol. 191, pp. 110843-110843
Closed Access | Times Cited: 49
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
A two-stage domain alignment method for multi-source domain fault diagnosis
Wei Cao, Zong Meng, Dengyun Sun, et al.
Measurement (2023) Vol. 214, pp. 112818-112818
Closed Access | Times Cited: 23
Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data
Zenghui An, Xingxing Jiang, Jing Cao, et al.
Knowledge-Based Systems (2021) Vol. 230, pp. 107374-107374
Closed Access | Times Cited: 53
An Intelligent Fault Diagnosis Method of Small Sample Bearing Based on Improved Auxiliary Classification Generative Adversarial Network
Zong Meng, Qian Li, Dengyun Sun, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 20, pp. 19543-19555
Closed Access | Times Cited: 34
Data Regeneration Based on Multiple Degradation Processes for Remaining Useful Life Estimation
Ningning Yang, Zhijian Wang, Wenan Cai, et al.
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108867-108867
Closed Access | Times Cited: 32
Squared envelope sparsification via blind deconvolution and its application to railway axle bearing diagnostics
Bingyan Chen, Weihua Zhang, Dongli Song, et al.
Structural Health Monitoring (2023) Vol. 22, Iss. 6, pp. 3637-3658
Open Access | Times Cited: 20
An improved variational mode decomposition method based on spectrum reconstruction and segmentation and its application in rolling bearing fault diagnosis
Zong Meng, Jing Liu, Jingbo Liu, et al.
Digital Signal Processing (2023) Vol. 141, pp. 104161-104161
Closed Access | Times Cited: 19
Parallel sparse filtering for intelligent fault diagnosis using acoustic signal processing
Shanshan Ji, Baokun Han, Zongzhen Zhang, et al.
Neurocomputing (2021) Vol. 462, pp. 466-477
Closed Access | Times Cited: 36
A fault pulse extraction and feature enhancement method for bearing fault diagnosis
Zhiqiang Chen, Liang Guo, Hongli Gao, et al.
Measurement (2021) Vol. 182, pp. 109718-109718
Closed Access | Times Cited: 34
Research on fault diagnosis method of MS-CNN rolling bearing based on local central moment discrepancy
Zong Meng, Wei Cao, Dengyun Sun, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101797-101797
Closed Access | Times Cited: 28
A Blind Deconvolution Approach Based on Spectral Harmonics-to-Noise Ratio for Rotating Machinery Condition Monitoring
Qiuyang Zhou, Cai Yi, Lei Yan, et al.
IEEE Transactions on Automation Science and Engineering (2022) Vol. 20, Iss. 2, pp. 1092-1107
Closed Access | Times Cited: 24
A novel generation network using feature fusion and guided adversarial learning for fault diagnosis of rotating machinery
Zong Meng, Huihui He, Wei Cao, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121058-121058
Closed Access | Times Cited: 14
Enhanced hierarchical symbolic sample entropy: Efficient tool for fault diagnosis of rotating machinery
Shun Wang, Yongbo Li, Shubin Si, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 3, pp. 1927-1940
Closed Access | Times Cited: 21
Maximum Cyclic Gini Index Deconvolution for Rolling Bearing Fault Diagnosis
Zong Meng, Zhaolin Cui, Jingbo Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 12
A novel rolling bearing fault diagnosis method based on continuous hierarchical fractional range entropy
Jie Zhou, Chuanhai Chen, Jinyan Guo, et al.
Measurement (2023) Vol. 220, pp. 113395-113395
Closed Access | Times Cited: 12
A novel feature extraction method: iterative Ramanujan Fourier mixture spectrum
Jian Cheng, Haiyang Pan, Jinde Zheng
Structural Health Monitoring (2024) Vol. 23, Iss. 6, pp. 3299-3311
Closed Access | Times Cited: 4
Hardware implementation of bearing fault diagnosis using empirical mode decomposition
Swapnil Ninawe, R. B. Deshmukh
Nondestructive Testing And Evaluation (2024), pp. 1-18
Closed Access | Times Cited: 4
Adaptive fault components extraction based on physically interpretable optimized weight time–frequency matrix index and its applications in rotating machinery fault diagnosis
Bin Sun, Hongkun Li, Junxiang Wang, et al.
Structural Health Monitoring (2025)
Closed Access
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