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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:

Prior knowledge-embedded meta-transfer learning for few-shot fault diagnosis under variable operating conditions
Zihao Lei, Ping Zhang, Yuejian Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110491-110491
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Rotating Machinery Fault Diagnosis Under Time-Varying Speeds: A Review
Dongdong Liu, Lingli Cui, Huaqing Wang
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 29969-29990
Open Access | Times Cited: 54
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples
Zhenya Wang, Qiusheng Luo, Hui Chen, et al.
Computers in Industry (2024) Vol. 159-160, pp. 104099-104099
Closed Access | Times Cited: 35
Counterfactual-augmented few-shot contrastive learning for machinery intelligent fault diagnosis with limited samples
Yunpeng Liu, Hongkai Jiang, Renhe Yao, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111507-111507
Closed Access | Times Cited: 32
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Shengnan Tang, Jingtao Ma, Zhengqi Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108678-108678
Closed Access | Times Cited: 30
Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis
Quan Qian, Huayan Pu, Tianjia Tu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 217, pp. 111544-111544
Closed Access | Times Cited: 19
Extended attention signal transformer with adaptive class imbalance loss for Long-tailed intelligent fault diagnosis of rotating machinery
Shuyuan Chang, Liyong Wang, Mingkuan Shi, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102436-102436
Closed Access | Times Cited: 18
An information fusion-based meta transfer learning method for few-shot fault diagnosis under varying operating conditions
Cuiying Lin, Yun Kong, Qinkai Han, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111652-111652
Closed Access | Times Cited: 17
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
Knowledge Embedded Autoencoder Network for Harmonic Drive Fault Diagnosis Under Few-Shot Industrial Scenarios
Jiaxian Chen, Kairu Wen, Jingyan Xia, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22915-22925
Closed Access | Times Cited: 14
Contrastive feature-based learning-guided elevated deep reinforcement learning: Developing an imbalanced fault quantitative diagnosis under variable working conditions
Shuilong He, Qianwen Cui, Jinglong Chen, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111192-111192
Closed Access | Times Cited: 10
Heterogeneous Federated Domain Generalization Network With Common Representation Learning for Cross-Load Machinery Fault Diagnosis
Quan Qian, Jun Luo, Yi Qin
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 9, pp. 5704-5716
Closed Access | Times Cited: 10
Knowledge Distillation-Guided Cost-Sensitive Ensemble Learning Framework for Imbalanced Fault Diagnosis
Shuaiqing Deng, Zihao Lei, Guangrui Wen, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23110-23122
Closed Access | Times Cited: 7
Multi-sensor cross-domain fault diagnosis method for leakage of ship pipeline valves
Zhengjie Liu, Xiaohui Yang, Yingchun Xie, et al.
Ocean Engineering (2024) Vol. 299, pp. 117211-117211
Closed Access | Times Cited: 7
Semi-supervised prototype network based on compact-uniform-sparse representation for rotating machinery few-shot class incremental fault diagnosis
Yu Zhang, Dongying Han, Peiming Shi
Expert Systems with Applications (2024) Vol. 255, pp. 124660-124660
Closed Access | Times Cited: 7
Robust condition identification against label noise in industrial processes based on trusted connection dictionary learning
Keke Huang, Shijun Tao, Dehao Wu, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110133-110133
Closed Access | Times Cited: 6
An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery
Jipu Li, Xiaoge Zhang, Ke Yue, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123836-123836
Closed Access | Times Cited: 5
Digital twin-assisted AI framework based on domain adaptation for bearing defect diagnosis in the centrifugal pump
Anil Kumar, Rajesh Kumar, Jiawei Xiang, et al.
Measurement (2024) Vol. 235, pp. 115013-115013
Closed Access | Times Cited: 5
A rolling bearing fault diagnosis framework under variable working conditions considers dynamic feature extraction
Wang Jia, Hui Shi, Zengshou Dong, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110255-110255
Closed Access
Digital twin-driven operational CycleGAN-based multiple virtual-physical mappings for remaining useful life prediction under limited life cycle data
Quanning Xu, Zihao Lei, Gu Shu-Long, et al.
Journal of Advanced Research (2025)
Open Access
A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis
Lanjun Wan, Le Huang, Jiaen Ning, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112113-112113
Closed Access | Times Cited: 4
Interpretable operational condition attention-informed domain adaptation network for remaining useful life prediction under variable operational conditions
Zihao Lei, Yu Su, Ke Feng, et al.
Control Engineering Practice (2024) Vol. 153, pp. 106080-106080
Closed Access | Times Cited: 4
A novel multi-sensor data fusion enabled health indicator construction and remaining useful life prediction of aero-engine
Yu Su, Zihao Lei, Guangrui Wen, et al.
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2025)
Closed Access
Bi-structural spatial–temporal network for few-shot fault diagnosis of rotating machinery
Zixu Chen, Jinchen Ji, Qing Ni, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112378-112378
Closed Access
Unlocking the power of knowledge for few-shot fault diagnosis: A review from a knowledge perspective
Pei Ling Lai, Fan Zhang, Tianrui Li, et al.
Information Sciences (2025), pp. 121996-121996
Closed Access
Adaptive Weighted Cost-Sensitive Learning-Driven Improved Dense Convolutional Neural Network for Imbalanced Fault Diagnosis under Limited Fault Samples
Zihao Lei, Shuaiqing Deng, Yu Su, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2025) Vol. 11, Iss. 2
Closed Access
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