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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:

Zero-shot learning for compound fault diagnosis of bearings
Juan Xu, Long Zhou, Weihua Zhao, et al.
Expert Systems with Applications (2021) Vol. 190, pp. 116197-116197
Closed Access | Times Cited: 93

Showing 26-50 of 93 citing articles:

Micro-thruster Fault Classification of Drag-Free Spacecraft Using Deep Neural Network
Zhibo Liang, Xiaodong Shao, Yongxia Shi, et al.
Lecture notes in electrical engineering (2025), pp. 236-245
Closed Access
An effective zero-shot learning approach for intelligent fault detection using 1D CNN
Siyu Zhang, Hua‐Liang Wei, Jinliang Ding
Applied Intelligence (2022) Vol. 53, Iss. 12, pp. 16041-16058
Open Access | Times Cited: 24
An intelligent diagnosis method using fault feature regions for untrained compound faults of rolling bearings
Jiahui Tang, Jimei Wu, Bingbing Hu, et al.
Measurement (2022) Vol. 204, pp. 112100-112100
Closed Access | Times Cited: 22
Residual shrinkage transformer relation network for intelligent fault detection of industrial robot with zero-fault samples
Zuoyi Chen, Ke Wu, Jun Wu, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110452-110452
Closed Access | Times Cited: 15
A Simple Framework to Generalized Zero-Shot Learning for Fault Diagnosis of Industrial Processes
Jiacheng Huang, Zuxin Li, Zhe Zhou
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 6, pp. 1504-1506
Closed Access | Times Cited: 15
rgfc-Forest: An enhanced deep forest method towards small-sample fault diagnosis of electromechanical system
Yuhang Ming, Haidong Shao, Baoping Cai, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122178-122178
Closed Access | Times Cited: 13
CGASNet: A Generalized Zero-Shot Learning Compound Fault Diagnosis Approach for Bearings
Juan Xu, Haiqiang Zhang, Weiwei Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 4
Domain reinforcement feature adaptation methodology with correlation alignment for compound fault diagnosis of rolling bearing
Zisheng Wang, Jianping Xuan, Tielin Shi
Expert Systems with Applications (2024), pp. 125594-125594
Closed Access | Times Cited: 4
Zero-Shot Rolling Bearing Fault Diagnosis Based on Attribute Description
Guorong Fan, Lijun Li, Yue Zhao, et al.
Electronics (2025) Vol. 14, Iss. 3, pp. 452-452
Open Access
A zero-shot model for diagnosing unknown composite faults in train bearings based on label feature vector generated fault features
Deqiang He, Yuan Xu, Zhenzhen Jin, et al.
Applied Acoustics (2025) Vol. 232, pp. 110563-110563
Closed Access
FFusion: Feature Fusion Transformer for Zero-Shot Learning
Wenjin Tao, Jiahao Xie, Z.G. An, et al.
Electronics (2025) Vol. 14, Iss. 5, pp. 926-926
Open Access
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
An uncertainty relevance metric-based domain adaptation fault diagnosis method to overcome class relevance caused confusion
Qing Zhang, Lv Tang, Jianping Xuan, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 109040-109040
Closed Access | Times Cited: 20
Zero-Shot Compound Fault Diagnosis Method Based on Semantic Learning and Discriminative Features
Juan Xu, Haiqiang Zhang, Long Zhou, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 12
Few-shot learning fault diagnosis of rolling bearings based on siamese network
Xiaoyang Zheng, Zhixia Feng, Zijian Lei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 095018-095018
Closed Access | Times Cited: 3
Domain-augmented meta ensemble learning for mechanical fault diagnosis from heterogeneous source domains to unseen target domains
Yiming Xiao, Haidong Shao, Jie Wang, et al.
Expert Systems with Applications (2024), pp. 125345-125345
Closed Access | Times Cited: 3
Multi-source partial discharge diagnosis in gas-insulated switchgear via zero-shot learning
Yanxin Wang, Jing Yan, Zhanbei Wang, et al.
Measurement (2023) Vol. 217, pp. 113033-113033
Closed Access | Times Cited: 10
Broad zero-shot diagnosis for rotating machinery with untrained compound faults
Chenyang Ma, Xianzhi Wang, Yongbo Li, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109704-109704
Closed Access | Times Cited: 10
A Multiattribute Learning Model for Zero-Sample Mechanical Fault Diagnosis
Li Cai, Hongpeng Yin, Jingdong Lin, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 7, pp. 9633-9643
Closed Access | Times Cited: 3
Cross-modal zero-sample diagnosis framework utilizing non-contact sensing data fusion
Sheng Li, Ke Feng, Yadong Xu, et al.
Information Fusion (2024) Vol. 110, pp. 102453-102453
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 hybrid semantic attribute-based zero-shot learning model for bearing fault diagnosis under unknown working conditions
Zhiwu Shang, Lutai Tang, Cailu Pan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109020-109020
Closed Access | Times Cited: 3
A Partial-Label U-Net Learning Method for Compound-Fault Diagnosis With Fault- Sample Class Imbalance
Jingfei Zhang, Xiao He
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1798-1807
Closed Access | Times Cited: 7
A novel hybrid physical AI-based strategy for fault severity estimation in spur gears with zero-shot learning
Lior Bachar, Omri Matania, Roee Cohen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 204, pp. 110748-110748
Closed Access | Times Cited: 7
IFRN: Insensitive feature removal network for zero-shot mechanical fault diagnosis across fault severity
Ziqi Liu, Rui Yang, Weibo Liu, et al.
Neurocomputing (2023) Vol. 561, pp. 126877-126877
Closed Access | Times Cited: 7

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