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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:

Fine-tuned variational mode decomposition for fault diagnosis of rotary machinery
Ali Dibaj, Mir Mohammad Ettefagh, Reza Hassannejad, et al.
Structural Health Monitoring (2019) Vol. 19, Iss. 5, pp. 1453-1470
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

A fault information-guided variational mode decomposition (FIVMD) method for rolling element bearings diagnosis
Qing Ni, Jinchen Ji, Ke Feng, et al.
Mechanical Systems and Signal Processing (2021) Vol. 164, pp. 108216-108216
Closed Access | Times Cited: 181
A hybrid fine-tuned VMD and CNN scheme for untrained compound fault diagnosis of rotating machinery with unequal-severity faults
Ali Dibaj, Mir Mohammad Ettefagh, Reza Hassannejad, et al.
Expert Systems with Applications (2020) Vol. 167, pp. 114094-114094
Closed Access | Times Cited: 162
Causality of geopolitical risk on food prices: Considering the Russo–Ukrainian conflict
Foued Saâdaoui, Sami Ben Jabeur, John W. Goodell
Finance research letters (2022) Vol. 49, pp. 103103-103103
Closed Access | Times Cited: 137
Data privacy preserving federated transfer learning in machinery fault diagnostics using prior distributions
Zhang We, Xiang Li
Structural Health Monitoring (2021) Vol. 21, Iss. 4, pp. 1329-1344
Closed Access | Times Cited: 106
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
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: 100
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
Incipient fault diagnosis of bearings based on parameter-optimized VMD and envelope spectrum weighted kurtosis index with a new sensitivity assessment threshold
Ali Dibaj, Reza Hassannejad, Mir Mohammad Ettefagh, et al.
ISA Transactions (2020) Vol. 114, pp. 413-433
Closed Access | Times Cited: 91
An effective health indicator for the Pelton wheel using a Levy flight mutated genetic algorithm
Govind Vashishtha, Rajesh Kumar
Measurement Science and Technology (2021) Vol. 32, Iss. 9, pp. 094003-094003
Closed Access | Times Cited: 56
Adaptive variational mode decomposition based on Archimedes optimization algorithm and its application to bearing fault diagnosis
Junxiang Wang, Changshu Zhan, Sanping Li, et al.
Measurement (2022) Vol. 191, pp. 110798-110798
Closed Access | Times Cited: 56
Intelligent Fault Diagnosis of Rotating Machines Based on Wavelet Time-Frequency Diagram and Optimized Stacked Denoising Auto-Encoder
Ning Jia, Yao Cheng, Yunyang Liu, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 17, pp. 17139-17150
Closed Access | Times Cited: 43
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 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: 14
Adaptive energy-constrained variational mode decomposition based on spectrum segmentation and its application in fault detection of rolling bearing
Jimeng Li, Xin Cheng, Qiang Li, et al.
Signal Processing (2021) Vol. 183, pp. 108025-108025
Closed Access | Times Cited: 49
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: 19
Analyzing the influence of geopolitical risks on European power prices using a multiresolution causal neural network
Foued Saâdaoui, Sami Ben Jabeur
Energy Economics (2023) Vol. 124, pp. 106793-106793
Closed Access | Times Cited: 17
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
Formalizing multiresolution statistical causality tests: A comprehensive review and empirical analysis
Foued Saâdaoui
Econometric Reviews (2025), pp. 1-25
Closed Access
Harnessing fuzzy neural network for gear fault diagnosis with limited data labels
Kai Zhou, Jiong Tang
The International Journal of Advanced Manufacturing Technology (2021)
Closed Access | Times Cited: 31
Fault Diagnosis of a Wind Turbine Gearbox Based on Improved Variational Mode Algorithm and Information Entropy
Fan Zhang, Wenlei Sun, Hongwei Wang, et al.
Entropy (2021) Vol. 23, Iss. 7, pp. 794-794
Open Access | Times Cited: 24
A novel strategy using optimized MOMED and B-spline based envelope-derivative operator for compound fault detection of the rolling bearing
Yuanbo Xu, Yongbo Li, Youming Wang, et al.
Structural Health Monitoring (2022) Vol. 21, Iss. 6, pp. 2569-2586
Closed Access | Times Cited: 17
An AI-Based Nonparametric Filter Approach for Gearbox Fault Diagnosis
Vikash Kumar, Subrata Mukherjee, Alok Kumar Verma, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 17
An adaptive variational mode extraction method based on multi-domain and multi-objective optimization for bearing fault diagnosis
Xiaoan Yan, Wang‐Ji Yan, Ka‐Veng Yuen, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 4, pp. 2708-2733
Closed Access | Times Cited: 16
Bandwidth-aware adaptive chirp mode decomposition for railway bearing fault diagnosis
Shiqian Chen, Lei Guo, Junjie Fan, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 2, pp. 876-902
Closed Access | Times Cited: 9
Health condition identification for rolling bearing based on hierarchical multiscale symbolic dynamic entropy and least squares support tensor machine–based binary tree
Cheng Yang, Minping Jia
Structural Health Monitoring (2020) Vol. 20, Iss. 1, pp. 151-172
Closed Access | Times Cited: 25
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