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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:

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

Showing 1-25 of 99 citing articles:

Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis
Jinrui Wang, Zongzhen Zhang, Zhiliang Liu, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109152-109152
Closed Access | Times Cited: 82
Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis
Xingxing Jiang, Xuegang Li, Qian Wang, et al.
Information Fusion (2023) Vol. 101, pp. 102005-102005
Closed Access | Times Cited: 50
Inverse physics–informed neural networks for digital twin–based bearing fault diagnosis under imbalanced samples
Yi Qin, Hongyu Liu, Yi Wang, et al.
Knowledge-Based Systems (2024) Vol. 292, pp. 111641-111641
Closed Access | Times Cited: 30
A new adaptive multi-scale attention adversarial network for cross-domain fault diagnosis
Lingtan Kong, Jinrui Wang, Dawei Wang, et al.
Knowledge-Based Systems (2025), pp. 113066-113066
Closed Access | Times Cited: 1
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
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 survey of mechanical fault diagnosis based on audio signal analysis
Lili Tang, Hui Tian, Hui Huang, et al.
Measurement (2023) Vol. 220, pp. 113294-113294
Closed Access | Times Cited: 38
Trusted multi-source information fusion for fault diagnosis of electromechanical system with modified graph convolution network
Kongliang Zhang, Hongkun Li, Shunxin Cao, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102088-102088
Closed Access | Times Cited: 28
MIFDELN: A multi-sensor information fusion deep ensemble learning network for diagnosing bearing faults in noisy scenarios
Maoyou Ye, Xiaoan Yan, Dong Jiang, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111294-111294
Closed Access | Times Cited: 28
Multi-layer convolutional dictionary learning network for signal denoising and its application to explainable rolling bearing fault diagnosis
Yi Qin, Rui Yang, Biao He, et al.
ISA Transactions (2024) Vol. 147, pp. 55-70
Closed Access | Times Cited: 7
Dynamic Balanced Domain-Adversarial Networks for Cross-Domain Fault Diagnosis of Train Bearings
He Ren, Jun Wang, Jun Dai, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 32
A VME method based on the convergent tendency of VMD and its application in multi-fault diagnosis of rolling bearings
Cuixing Li, Yongqiang Liu, Yingying Liao, et al.
Measurement (2022) Vol. 198, pp. 111360-111360
Closed Access | Times Cited: 28
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
Harmonic Reducer Fault Detection With Acoustic Emission
Liansheng Liu, Zhuo Zhi, Yufei Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 17
Imbalanced deep transfer network for fault diagnosis of high-speed train traction motor bearings
Yilong Liu, Xinyuan Li, Xingwu Zhang, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111682-111682
Closed Access | Times Cited: 6
Spectral boundary detecting model: A promising tool for adaptive mode extraction and machinery fault diagnosis
Xingxing Jiang, Qiuyu Song, Qian Wang, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102494-102494
Closed Access | Times Cited: 6
Contrast-Assisted Domain-Specificity-Removal Network for Semi-Supervised Generalization Fault Diagnosis
Qiuyu Song, Xingxing Jiang, Jie Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 5403-5416
Closed Access | Times Cited: 5
Bearing fault diagnosis based on POA-VMD with GADF-Swin Transformer transfer learning network
Xin Dai, Yi Kang, Fuling Wang, et al.
Measurement (2024) Vol. 238, pp. 115328-115328
Closed Access | Times Cited: 5
An optimized variational mode extraction method for rolling bearing fault diagnosis
Bin Pang, Mojtaba Nazari, Zhenduo Sun, et al.
Structural Health Monitoring (2021) Vol. 21, Iss. 2, pp. 558-570
Closed Access | Times Cited: 35
Hydraulic directional valve fault diagnosis using a weighted adaptive fusion of multi-dimensional features of a multi-sensor
Jinchuan Shi, Yan Ren, Hesheng Tang, et al.
Journal of Zhejiang University. Science A (2022) Vol. 23, Iss. 4, pp. 257-271
Closed Access | Times Cited: 24
Dynamic Simulation Model-Driven Fault Diagnosis Method for Bearing under Missing Fault-Type Samples
Junqing Ma, Xingxing Jiang, Baokun Han, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 2857-2857
Open Access | Times Cited: 13
A novel hybrid distance guided domain adversarial method for cross domain fault diagnosis of gearbox
Xingwang Jiang, Xiaojing Wang, Baokun Han, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 6, pp. 065115-065115
Closed Access | Times Cited: 12
Intelligent fault diagnosis methods for hydraulic components based on information fusion: review and prospects
Hanlin Guan, Yan Ren, Hesheng Tang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 082001-082001
Closed Access | Times Cited: 4
Adaptive fast nonlinear blind deconvolution based on nonuniform particle swarm optimization for the rolling bearing fault diagnosis
Baokun Han, Hao Ma, Zongzhen Zhang, et al.
Measurement (2024) Vol. 235, pp. 114788-114788
Closed Access | Times Cited: 4
A dynamic weighted joint distribution domain adaptation network for cross-machine fault diagnosis of rolling bearings
Qi Chang, Congcong Fang, Longqing Fan, et al.
Structural Health Monitoring (2025)
Closed Access
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