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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:

Adaptive periodic mode decomposition and its application in rolling bearing fault diagnosis
Jian Cheng, Yu Yang, Xin Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 161, pp. 107943-107943
Closed Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Multi-class fuzzy support matrix machine for classification in roller bearing fault diagnosis
Haiyang Pan, Haifeng Xu, Jinde Zheng, et al.
Advanced Engineering Informatics (2021) Vol. 51, pp. 101445-101445
Closed Access | Times Cited: 86
Early rolling bearing fault diagnosis in induction motors based on on-rotor sensing vibrations
Zuolu Wang, Dawei Shi, Yuandong Xu, et al.
Measurement (2023) Vol. 222, pp. 113614-113614
Open Access | Times Cited: 32
A hybrid intelligent rolling bearing fault diagnosis method combining WKN-BiLSTM and attention mechanism
Jiang Wang, Junyu Guo, Lin Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 8, pp. 085106-085106
Closed Access | Times Cited: 30
A class-level matching unsupervised transfer learning network for rolling bearing fault diagnosis under various working conditions
Chunran Huo, Quan Jiang, Yehu Shen, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110739-110739
Closed Access | Times Cited: 25
Noise-robust adaptive feature mode decomposition method for accurate feature extraction in rotating machinery fault diagnosis
Yuyang Chen, Zhiwei Mao, Xiuqun Hou, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111213-111213
Closed Access | Times Cited: 13
Enhanced periodic mode decomposition and its application to composite fault diagnosis of rolling bearings
Jian Cheng, Yu Yang, Haidong Shao, et al.
ISA Transactions (2021) Vol. 125, pp. 474-491
Closed Access | Times Cited: 41
Multi-Sensor Fusion by CWT-PARAFAC-IPSO-SVM for Intelligent Mechanical Fault Diagnosis
Hanxin Chen, Shaoyi Li
Sensors (2022) Vol. 22, Iss. 10, pp. 3647-3647
Open Access | Times Cited: 32
Periodic component pursuit-based kurtosis deconvolution and its application in roller bearing compound fault diagnosis
Haiyang Pan, Xuelin Yin, Jian Cheng, et al.
Mechanism and Machine Theory (2023) Vol. 185, pp. 105337-105337
Closed Access | Times Cited: 21
Health condition monitoring and diagnosis of rotating machinery based on Manhattan entropy
Hongchuang Tan, Suchao Xie, Dalian Yang, et al.
Measurement (2024) Vol. 227, pp. 114243-114243
Closed Access | Times Cited: 6
Fault Diagnosis of Rolling Bearing Based on Improved VMD and KNN
Quanbo Lu, Xinqi Shen, Xiujun Wang, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 36
Multivariate local characteristic-scale decomposition and 1.5-dimensional empirical envelope spectrum based gear fault diagnosis
Jie Zhou, Yu Yang, Xin Li, et al.
Mechanism and Machine Theory (2022) Vol. 172, pp. 104772-104772
Closed Access | Times Cited: 27
Signal-to-Image: Rolling Bearing Fault Diagnosis Using ResNet Family Deep-Learning Models
Guoguo Wu, Xuerong Ji, Guolai Yang, et al.
Processes (2023) Vol. 11, Iss. 5, pp. 1527-1527
Open Access | Times Cited: 15
Hierarchical Amplitude-Aware Permutation Entropy-Based Fault Feature Extraction Method for Rolling Bearings
Zhe Li, Yahui Cui, Longlong Li, et al.
Entropy (2022) Vol. 24, Iss. 3, pp. 310-310
Open Access | Times Cited: 22
A new adaptive parallel resonance system based on cascaded feedback model of vibrational resonance and stochastic resonance and its application in fault detection of rolling bearings
Jimeng Li, Xin Cheng, Junling Peng, et al.
Chaos Solitons & Fractals (2022) Vol. 164, pp. 112702-112702
Closed Access | Times Cited: 21
Variational time–frequency adaptive decomposition of machine multi-impact vibration signals
Nanyang Zhao, Jinjie Zhang, Zhiwei Mao, et al.
Mechanical Systems and Signal Processing (2022) Vol. 189, pp. 110084-110084
Closed Access | Times Cited: 21
Enhanced symplectic geometry mode decomposition and its application to rotating machinery fault diagnosis under variable speed conditions
Guangyao Zhang, Yi Wang, Xiaomeng Li, et al.
Mechanical Systems and Signal Processing (2022) Vol. 170, pp. 108841-108841
Closed Access | Times Cited: 20
Enhanced sparsity via adaptive period estimation and Lp norm for rolling bearing fault feature extraction
Xinxin Li, Fengbo Mo, Weili Tang, et al.
Journal of Vibration and Control (2025)
Closed Access
An operating condition information-guided iterative variational mode decomposition method based on Mahalanobis distance criterion for surge characteristic frequency extraction of the centrifugal compressor
Yaochun Hou, Peng Wu, Dazhuan Wu
Mechanical Systems and Signal Processing (2022) Vol. 186, pp. 109836-109836
Closed Access | Times Cited: 17
PredMaX: Predictive maintenance with explainable deep convolutional autoencoders
Gergely Hajgató, Richárd Wéber, Botond Szilágyi, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101778-101778
Open Access | Times Cited: 17
Early fault feature extraction for rolling bearings using adaptive variational mode decomposition with noise suppression and fast spectral correlation
Shaoning Tian, Dong Zhen, Xiaoxia Liang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 6, pp. 065112-065112
Open Access | Times Cited: 10
Adaptive multi-layer empirical Ramanujan decomposition and its application in roller bearing fault diagnosis
Haiyang Pan, Ying Zhang, Jian Cheng, et al.
Measurement (2023) Vol. 213, pp. 112707-112707
Closed Access | Times Cited: 10
Semi-Supervised Self-Correcting Graph Neural Network for Intelligent Fault Diagnosis of Rotating Machinery
Hao Chen, Xianbo Wang, Zhi-Xin Yang
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 9
Research on the Application of Variational Mode Decomposition Optimized by Snake Optimization Algorithm in Rolling Bearing Fault Diagnosis
Houxin Ji, Ke Huang, Chaoquan Mo
Shock and Vibration (2024) Vol. 2024, pp. 1-21
Open Access | Times Cited: 3
Vibration Signal Analysis for Intelligent Rotating Machinery Diagnosis and Prognosis: A Comprehensive Systematic Literature Review
Ikram Bagri, Karim Tahiry, Aziz Hraiba, et al.
Vibration (2024) Vol. 7, Iss. 4, pp. 1013-1062
Open Access | Times Cited: 3
Zero-Phase Filter-Based Adaptive Fourier Decomposition and Its Application to Fault Diagnosis of Rolling Bearing
Jinde Zheng, Shijun Cao, Ke Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-11
Closed Access | Times Cited: 8
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