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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:

Mechanical compound fault diagnosis via suppressing intra-class dispersions: A deep progressive shrinkage perspective
Baihong Zhong, Minghang Zhao, Shisheng Zhong, et al.
Measurement (2022) Vol. 199, pp. 111433-111433
Closed Access | Times Cited: 20

Showing 20 citing articles:

Differential contrast guidance for aeroengine fault diagnosis with limited data
Wenhui He, Lin Lin, Song Fu, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
Based on spatial Mahalanobis distance: A novel zero-shot learning method for compound fault identification and decoupling
Miao Jiang, Yang Xiang, Chenxing Sheng
Expert Systems with Applications (2025) Vol. 272, pp. 126680-126680
Closed Access
Numerical simulation of gears for fault detection using artificial intelligence models
Hui Wang, Ronggang Yang, Jiawei Xiang
Measurement (2022) Vol. 203, pp. 111898-111898
Closed Access | Times Cited: 25
An Elastic Expandable Fault Diagnosis Method of Three-Phase Motors Using Continual Learning for Class-Added Sample Accumulations
Ao Ding, Yong Qin, Biao Wang, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 7, pp. 7896-7905
Closed Access | Times Cited: 15
Image deep learning in fault diagnosis of mechanical equipment
Chuanhao Wang, Yongjian Sun, Xiaohong Wang
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2475-2515
Closed Access | Times Cited: 13
Fault feature selection for the identification of compound gear-bearing faults using firefly algorithm
A. Andrews, Manisekar Kondal
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 3-4, pp. 1777-1788
Closed Access | Times Cited: 12
Deep exponential excitation networks: toward stronger attention mechanism for weak fault diagnosis
Baihong Zhong, Minghang Zhao, Shisheng Zhong, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 6, pp. 3850-3866
Closed Access | Times Cited: 4
ResGRU: A Novel Hybrid Deep Learning Model for Compound Fault Diagnosis in Photovoltaic Arrays Considering Dust Impact
Xi Liu, Hui Hwang Goh, Haonan Xie, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1035-1035
Open Access
Novel aeroengine fault diagnosis method based on feature amplification
Lin Lin, Wenhui He, Song Fu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106093-106093
Closed Access | Times Cited: 9
A multi-head self-attention autoencoder network for fault detection of wind turbine gearboxes under random loads*
Xiaoxia Yu, Zhigang Zhang, Baoping Tang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086137-086137
Closed Access | Times Cited: 3
Adaptive resonance demodulation semantic-induced zero-shot compound fault diagnosis for railway bearings
Shaoning Tian, Dong Zhen, Haiyang Li, et al.
Measurement (2024) Vol. 235, pp. 115040-115040
Closed Access | Times Cited: 3
A Smart CEEMDAN, Bessel Transform and CNN-Based Scheme for Compound Gear-Bearing Fault Diagnosis
A. Andrews, Manisekar Kondal
Journal of Vibration Engineering & Technologies (2024)
Closed Access | Times Cited: 2
DCSN: Focusing on hard samples mining in small-sample fault diagnosis of marine engine
Baihong Zhong, Minghang Zhao, Lin Wang, et al.
Measurement (2024) Vol. 235, pp. 114929-114929
Closed Access | Times Cited: 2
Multiscale Dynamically Parallel Shrinkage Network for Fault Diagnosis of Aviation Hydraulic Pump and Its Generalizable Applications
Song Fu, Lin Lin, Yue Wang, et al.
ISA Transactions (2024) Vol. 154, pp. 57-72
Closed Access | Times Cited: 2
LGMA-DRSN: a lightweight convex global multi-attention deep residual shrinkage network for fault diagnosis
Zhijin Zhang, Chunlei Zhang, Lei Chen, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115011-115011
Closed Access | Times Cited: 5
Shallow water source depth discrimination based on a vertical linear array using deep learning
Zhen Li, Lijia Gong, Nansong Li
Applied Ocean Research (2024) Vol. 152, pp. 104201-104201
Closed Access | Times Cited: 1
Weak fluctuating spectral line reconstruction using deep learning
Zhen Li, Junyuan Guo, Xiaohan Wang
Journal of Physics Conference Series (2024) Vol. 2718, Iss. 1, pp. 012085-012085
Open Access
A novel decoupling method of compound faults with incomplete dataset of rotating machinery
Aijun Hu, Bowen Yang, Lei Xing, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086136-086136
Open Access
A Unified Approach for Compound Gear-Bearing Fault Diagnosis Using Bessel Transform, Artificial Bee Colony-Based Feature Selection and LSTM Networks
A. Andrews, Manisekar Kondal
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 3, pp. 2959-2973
Closed Access | Times Cited: 1
Bidirectional Shrinkage Gated Recurrent Unit Network With Multiscale Attention Mechanism for Multisensor Fault Diagnosis
Gang Wang, Yanmei Li, Yifei Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 25518-25533
Closed Access | Times Cited: 1
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