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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:

Wavelet-Prototypical Network Based on Fusion of Time and Frequency Domain for Fault Diagnosis
Yu Wang, Lei Chen, Yang Liu, et al.
Sensors (2021) Vol. 21, Iss. 4, pp. 1483-1483
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects
Yong Feng, Jinglong Chen, Jingsong Xie, et al.
Knowledge-Based Systems (2021) Vol. 235, pp. 107646-107646
Closed Access | Times Cited: 164
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
Fault transfer diagnosis of rolling bearings across different devices via multi-domain information fusion and multi-kernel maximum mean discrepancy
Jimeng Li, Zhangdi Ye, Jie Gao, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111620-111620
Closed Access | Times Cited: 15
Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples
Jian Lin, Haidong Shao, Zhishan Min, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109493-109493
Closed Access | Times Cited: 52
Abnormal vibration detection of wind turbine based on temporal convolution network and multivariate coefficient of variation
Jun Zhan, Chengkun Wu, Xiandong Ma, et al.
Mechanical Systems and Signal Processing (2022) Vol. 174, pp. 109082-109082
Open Access | Times Cited: 37
Semisupervised Momentum Prototype Network for Gearbox Fault Diagnosis Under Limited Labeled Samples
Xiaolong Zhang, Zuqiang Su, Xiaolin Hu, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 9, pp. 6203-6213
Closed Access | Times Cited: 36
Multiscale Wavelet Prototypical Network for Cross-Component Few-Shot Intelligent Fault Diagnosis
Ke Yue, Jipu Li, Junbin Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-11
Closed Access | Times Cited: 23
An improved prototypical network with L2 prototype correction for few-shot cross-domain fault diagnosis
Tang Tang, Jingwei Wang, Tianyuan Yang, et al.
Measurement (2023) Vol. 217, pp. 113065-113065
Closed Access | Times Cited: 15
Multi-source information fusion meta-learning network with convolutional block attention module for bearing fault diagnosis under limited dataset
Shanshan Song, Shuqing Zhang, Wei Dong, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 2, pp. 818-835
Closed Access | Times Cited: 15
Improved metric-based meta learning with attention mechanism for few-shot cross-domain train bearing fault diagnosis
Hao Zhong, Deqiang He, Zhenpeng Lao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 075101-075101
Closed Access | Times Cited: 4
A new cross-domain bearing fault diagnosis method with few samples under different working conditions
Xingjun Dong, Changsheng Zhang, Hanrui Liu, et al.
Journal of Manufacturing Processes (2025) Vol. 135, pp. 359-374
Closed Access
Applications of improved linear chirplet time frequency representation to Machine bearing fault analysis
Junbo Long, Haibin Wang, Hongshe Fan, et al.
Measurement (2023) Vol. 209, pp. 112460-112460
Closed Access | Times Cited: 8
Few-Shot Learning Approaches for Fault Diagnosis Using Vibration Data: A Comprehensive Review
Xiaoxia Liang, Ming Zhang, Guojin Feng, et al.
Sustainability (2023) Vol. 15, Iss. 20, pp. 14975-14975
Open Access | Times Cited: 8
A multi scale meta-learning network for cross domain fault diagnosis with limited samples
Yu Wang, Shujie Liu
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 2
Research on Small Sample Rolling Bearing Fault Diagnosis Method Based on Mixed Signal Processing Technology
Peibo Yu, Jianjie Zhang, Baobao Zhang, et al.
Symmetry (2024) Vol. 16, Iss. 9, pp. 1178-1178
Open Access | Times Cited: 2
Experimental Investigation and Fault Diagnosis for Buckled Wet Clutch Based on Multi-Speed Hilbert Spectrum Entropy
Jiaqi Xue, Biao Ma, Man Chen, et al.
Entropy (2021) Vol. 23, Iss. 12, pp. 1704-1704
Open Access | Times Cited: 14
Fault diagnosis of plunger pump based on audio signal combined with meta-transfer learning
Yu Liu, Yongshou Dai, Ligang Li
Journal of Vibration and Control (2023) Vol. 30, Iss. 9-10, pp. 2301-2310
Closed Access | Times Cited: 4
A New Dual-domain Signal Collaborative Transfer Network for Bearing Fault Diagnosis
Shuo Xing, Jinrui Wang, Junqing Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
Fault diagnosis method for bearings under variable working conditions based on transfer relation network
ran zhang, Zhihong Zhao, Tao Xu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126202-126202
Closed Access | Times Cited: 1
A class-center fine-tuning prototypical network for few-shot fault diagnosis of turnout switch machine driven by multi-source signals
Yiling He, Deqiang He, Zhenpeng Lao, et al.
Measurement (2024) Vol. 242, pp. 115920-115920
Closed Access | Times Cited: 1
Research on fault diagnosis of rolling bearings in roller-to-roller printing units based on siamese network
Zhuofei Xu, Chanchan Zhang, Shanhui Liu, et al.
Journal of low frequency noise, vibration and active control (2022) Vol. 42, Iss. 1, pp. 403-419
Open Access | Times Cited: 6
A few-shot sample augmentation algorithm based on SCAM and DEPS for pump fault diagnosis
Fengqian Zou, Shengtian Sang, Ming Jiang, et al.
ISA Transactions (2023) Vol. 142, pp. 445-453
Closed Access | Times Cited: 3
Metric-Based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect
Tingli Xie, Xufeng Huang, Seung-Kyum Choi
Journal of Computing and Information Science in Engineering (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 4
Development of a Diabetes Mellitus Diagnostic System Using Self-Organizing Map Algorithm: A Machine Learning Approach
Anwaitu Fraser et al. Egba, Akawuku Ifeanyi Godspower, Alade Samuel Mayowa, et al.
IDOSR JOURNAL OF SCIENTIFIC RESEARCH (2024) Vol. 9, Iss. 1, pp. 72-80
Open Access
A fine-tuning prototypical network for few-shot cross-domain fault diagnosis
Jianhua Zhong, Kairong Gu, Haifeng Jiang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116124-116124
Closed Access
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