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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 zero-shot fault semantics learning model for compound fault diagnosis
Juan Xu, Shaokang Liang, Xu Ding, et al.
Expert Systems with Applications (2023) Vol. 221, pp. 119642-119642
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals
Jian Lin, Haidong Shao, Xiangdong Zhou, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120696-120696
Open Access | Times Cited: 118
Bayesian variational transformer: A generalizable model for rotating machinery fault diagnosis
Yiming Xiao, Haidong Shao, Jie Wang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 207, pp. 110936-110936
Open Access | Times Cited: 103
A novel mechanical fault diagnosis for high-voltage circuit breakers with zero-shot learning
Qiuyu Yang, Yuxiang Liao
Expert Systems with Applications (2024) Vol. 245, pp. 123133-123133
Closed Access | Times Cited: 14
Compound fault diagnosis of diesel engines by combining generative adversarial networks and transfer learning
Zhiquan Cui, Yanlin Lu, Yan Xu, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123969-123969
Closed Access | Times Cited: 10
Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects
Shen Liu, Jinglong Chen, Yong Feng, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124511-124511
Closed Access | Times Cited: 8
Adaptive Knowledge Distillation Based Lightweight Intelligent Fault Diagnosis Framework in IoT Edge Computing
Yanzhi Wang, Ziyang Yu, Jinhong Wu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23156-23169
Closed Access | Times Cited: 5
A novel diagnostic framework based on vibration image encoding and multi-scale neural network
Yang Guan, Zong Meng, Jimeng Li, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 124054-124054
Closed Access | Times Cited: 5
HeMTAN: Hybrid task-adapted experts-based multi-task attention network for unseen compound fault decoupling diagnosis of rotating machinery
Jimeng Li, Wei Wang, Sai Zhong, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124189-124189
Closed Access | Times Cited: 5
Integrated decision-making with adaptive feature weighting adversarial network for multi-target domain compound fault diagnosis of machinery
Xuepeng Zhang, Jinrui Wang, Zongzhen Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102730-102730
Closed Access | Times Cited: 5
A Zero-Shot Learning Approach with Automatic Construction of Hierarchical Semantics for Cross-Domain Fault Diagnosis
Yifan Wu, Chuan Li, Min Xia
(2025)
Closed Access
Zero-shot pipeline fault detection using percussion method and multi-attribute learning model
Longguang Peng, Wenjie Huang, Jicheng Zhang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112427-112427
Closed Access
MSRCN: A cross-machine diagnosis method for the CNC spindle motors with compound faults
Yiming He, Weiming Shen
Expert Systems with Applications (2023) Vol. 233, pp. 120957-120957
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
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
Biologically inspired compound defect detection using a spiking neural network with continuous time–frequency gradients
Zisheng Wang, Shaochen Li, Jianping Xuan, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103132-103132
Closed Access
KDN: A class-added continual learning framework for cross-machine fault diagnosis with limited samples
Jipu Li, Ke Yue, Zhaoqian Wu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112379-112379
Closed Access
Deep Learning in Industrial Machinery: A Critical Review of Bearing Fault Classification Methods
Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, et al.
Applied Soft Computing (2025), pp. 112785-112785
Closed Access
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
Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy
Rui Wang, Weiguo Huang, Xiao Zhang, et al.
Knowledge-Based Systems (2023) Vol. 281, pp. 111093-111093
Closed Access | Times Cited: 11
Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis
Hongyan Zhu, Changqing Shen, Lin Li, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110433-110433
Closed Access | Times Cited: 3
PSO-MCKD-MFFResnet based fault diagnosis algorithm for hydropower units
Xu Li, Zhuofei Xu, Yimin Wang
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 8, pp. 14117-14135
Open Access | Times Cited: 9
Learning to generalize with latent embedding optimization for few- and zero-shot cross domain fault diagnosis
Chuanhang Qiu, Tang Tang, Tianyuan Yang, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124280-124280
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
Enhancing Fault Diagnosis in Mechanical Systems with Graph Neural Networks Addressing Class Imbalance
Wenhao Lu, Wei Wang, Xuefei Qin, et al.
Mathematics (2024) Vol. 12, Iss. 13, pp. 2064-2064
Open Access | Times Cited: 2
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