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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 centrifugal fan blade damage identification method based on the multi-level fusion of vibro-acoustic signals and CNN
Tao Zhang, Feiyun Xu, Minping Jia
Measurement (2022) Vol. 199, pp. 111475-111475
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

A systematic review of data fusion techniques for optimized structural health monitoring
Sahar Hassani, Ulrike Dackermann, Mohsen Mousavi, et al.
Information Fusion (2023) Vol. 103, pp. 102136-102136
Open Access | Times Cited: 50
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
A performance-interpretable intelligent fusion of sound and vibration signals for bearing fault diagnosis via dynamic CAME
You Keshun, Lian Zengwei, Yingkui Gu
Nonlinear Dynamics (2024) Vol. 112, Iss. 23, pp. 20903-20940
Closed Access | Times Cited: 7
Priori-distribution-guided adaptive sparse attention for cross-domain feature mining in diesel engine fault diagnosis
He Li, Jinjie Zhang, Zhenjing Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107975-107975
Closed Access | Times Cited: 6
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
Fan Fault Diagnosis Using Acoustic Emission and Deep Learning Methods
Giuseppe Ciaburro, P. Sankar, Yassine Maleh, et al.
Informatics (2023) Vol. 10, Iss. 1, pp. 24-24
Open Access | Times Cited: 14
Bispectrum analysis based on dual channel homologous information fusion and its application in fault diagnosis
B. Chen, Hongchao Wang
Journal of Vibroengineering (2025)
Open Access
A robust multi-scale learning network with quasi-hyperbolic momentum-based Adam optimizer for bearing intelligent fault diagnosis under sample imbalance scenarios and strong noise environment
Maoyou Ye, Xiaoan Yan, Ning Chen, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 3, pp. 1664-1686
Closed Access | Times Cited: 12
Areas of Fan Research—A Review of the Literature in Terms of Improving Operating Efficiency and Reducing Noise Emissions
Marian Piwowarski, Damian Jakowski
Energies (2023) Vol. 16, Iss. 3, pp. 1042-1042
Open Access | Times Cited: 11
AI-enabled and multimodal data driven smart health monitoring of wind power systems: A case study
Zhao Yang, Yanjie Zhang, Zeqiang Li, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 102018-102018
Closed Access | Times Cited: 11
A vibro-acoustic signals hybrid fusion model for blade crack detection
Tianchi Ma, Junxian Shen, Di Song, et al.
Mechanical Systems and Signal Processing (2023) Vol. 204, pp. 110815-110815
Closed Access | Times Cited: 9
Distributed fiber optic acoustic sensing system intrusion full event recognition based on 1-D MFEWnet
Lulu Dong, Wenan Zhao, Sheng Huang, et al.
Physica Scripta (2024) Vol. 99, Iss. 4, pp. 045506-045506
Closed Access | Times Cited: 3
Research on online monitoring technology for transmission tower bolt looseness
Zhicheng Liu, Xinbo Huang, Long Zhao, et al.
Measurement (2023) Vol. 223, pp. 113703-113703
Closed Access | Times Cited: 7
A novel graph structure data-driven crack damage identification for compressor blade based on vibro-acoustic signal
Peng Ding, Di Song, Junxian Shen, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 2
A Domain Adaption ResNet Model to Detect Faults in Roller Bearings Using Vibro-Acoustic Data
Yi Liu, Hang Xiang, Zhansi Jiang, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3068-3068
Open Access | Times Cited: 6
Research on fault diagnosis of rolling bearing based on multi-sensor bi-layer information fusion under small samples
Chaoqun Hu, Yonghua Li, Zhe Chen, et al.
Review of Scientific Instruments (2023) Vol. 94, Iss. 11
Closed Access | Times Cited: 5
CCFT: The Convolution and Cross-Fusion Transformer for Fault Diagnosis of Bearings
Tantao Lin, Yongsheng Zhu, Zhijun Ren, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 3, pp. 2161-2172
Closed Access | Times Cited: 4
An empirical model integrating dimensional analysis and Box-Behnken design for crack detection in rotor fan blades
Imran M. Jamadar, Ajit N. Patil, Prasanta Kumar Samal, et al.
FME Transaction (2024) Vol. 52, Iss. 1, pp. 45-56
Open Access | Times Cited: 1
Off-design performance analysis of a radial fan using experimental, computational, and artificial intelligence approaches
Kowsar Moradihaji, Majid Ghassemi, Mahdi Pourbagian
European Journal of Mechanics - B/Fluids (2023) Vol. 104, pp. 150-172
Closed Access | Times Cited: 4
Multi-sensor and multi-level information fusion model for compressor blade crack detection
Tianchi Ma, Junxian Shen, Di Song, et al.
Measurement (2023) Vol. 222, pp. 113622-113622
Closed Access | Times Cited: 2
A two-level fusion model of vibro-acoustic signals for centrifugal fan blade crack detection
Tianchi Ma, Junxian Shen, Di Song, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 6, pp. 3800-3813
Closed Access
Numerical Study Through CFD of the Behavior of a Centrifugal Fan for Dust Extraction Systems
Liliana Yaguachi, Fernando Toapanta-Ramos, William Quitiaquez, et al.
Lecture notes in networks and systems (2024), pp. 3-17
Closed Access
Applications of convolutional neural networks in fault diagnosis of mechanical-electrical-hydraulic systems: a review
Zegngaung Liu, Yan Zhou, Daling Yue, et al.
(2024) Vol. 56, pp. 88-88
Closed Access
Fault identification and classification of wind turbine blades based on improved DenseNet
Wei Wei Xia, Fang Wang
(2024), pp. 1449-1454
Closed Access
Fault Feature Extraction Using L-Kurtosis and Minimum Entropy-Based Signal Demodulation
Surinder Kumar, Sumika Chauhan, Govind Vashishtha, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8342-8342
Open Access
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