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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:

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

Showing 23 citing articles:

Few-shot fault diagnosis of turnout switch machine based on semi-supervised weighted prototypical network
Zhenpeng Lao, Deqiang He, Zhenzhen Jin, et al.
Knowledge-Based Systems (2023) Vol. 274, pp. 110634-110634
Closed Access | Times Cited: 48
Interpretable physics-informed domain adaptation paradigm for cross-machine transfer diagnosis
Chao He, Hongmei Shi, Xiaorong Liu, et al.
Knowledge-Based Systems (2024) Vol. 288, pp. 111499-111499
Closed Access | Times Cited: 20
Interpretable modulated differentiable STFT and physics-informed balanced spectrum metric for freight train wheelset bearing cross-machine transfer fault diagnosis under speed fluctuations
Chao He, Hongmei Shi, Ruixin Li, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102568-102568
Open Access | Times Cited: 17
Multiple Source-Free Domain Adaptation Network Based on Knowledge Distillation for Machinery Fault Diagnosis
Ke Yue, Jipu Li, Zhuyun Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 21
A novel semi-supervised prototype network with two-stream wavelet scattering convolutional encoder for TBM main bearing few-shot fault diagnosis
Xingchen Fu, Jianfeng Tao, Keming Jiao, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111408-111408
Closed Access | Times Cited: 9
A Few-Shot Machinery Fault Diagnosis Framework Based on Self-Supervised Signal Representation Learning
Huan Wang, Xindan Wang, Yizhuo Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 6
Few-shot fault diagnosis of switch machine based on data fusion and balanced regularized prototypical network
Zhenpeng Lao, Deqiang He, Haimeng Sun, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108847-108847
Closed Access | Times Cited: 4
A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples
Ke Yue, Jipu Li, Shuhan Deng, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110429-110429
Closed Access | Times Cited: 4
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
A novel method for identifying sudden degradation changes in remaining useful life prediction for bearing
Xianhua Chen, Zhigang Tian
Expert Systems with Applications (2025), pp. 127315-127315
Open Access
A Neural-Symbolic Network for Interpretable Fault Diagnosis of Rolling Element Bearings Based on Temporal Logic
Ruoyao Tian, Meijie Cui, Gang Chen
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 3
Few-shot fault diagnosis of turnout switch machine based on flexible semi-supervised meta-learning network
Yiling He, Deqiang He, Zhenpeng Lao, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111746-111746
Closed Access | Times Cited: 3
FS-PTL: A unified few-shot partial transfer learning framework for partial cross-domain fault diagnosis under limited data scenarios
Liu Cheng, Haochen Qi, Rongcai Ma, et al.
Knowledge-Based Systems (2024), pp. 112658-112658
Closed Access | Times Cited: 3
Novel Meta-Learning for Few-Shot Bearing Fault Diagnosis Under Varying Working Conditions
Chuanhao Wang, Jigang Peng, Yongjian Sun
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035239-035239
Closed Access | Times Cited: 2
Adaptive generic prototype network with geodesic distance for cross-domain few-shot fault diagnosis
Yi Qin, Qi Wen, Wang Lv, et al.
Knowledge-Based Systems (2024) Vol. 306, pp. 112726-112726
Closed Access | Times Cited: 2
Method for Diagnosing Bearing Faults in Electromechanical Equipment Based on Improved Prototypical Networks
Zilong Wang, Honghai Shen, Xiong Wen-zhuo, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4485-4485
Open Access | Times Cited: 5
Information-Imbalance Learning with Hazard-Sensitive Loss for Machine Fault Diagnosis
Jingyao Wu, Hongbing Shang, Chuang Sun, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
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
WBUN: An interpretable convolutional neural network with wavelet basis unit embedded for fault diagnosis
Sen Gao, Zhijin Zhang, Xin Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086125-086125
Open Access
A Novel Fault Diagnosis Method of High-Speed Train Based on Few-Shot Learning
Yunpu Wu, Jianhua Chen, Xia Lei, et al.
Entropy (2024) Vol. 26, Iss. 5, pp. 428-428
Open Access
Few-shot fault diagnosis of rolling bearing via mutual centralized learning combining simple and parameter-free attention
Keheng Zhu, Dexian Tang, Liang Chen, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 10
Closed Access
Coupling Fault Diagnosis of Bearings Based on Hypergraph Neural Network
Shenglong Wang, Xiaoxuan Jiao, Bo Jing, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6391-6391
Open Access
An Emerging Fault Diagnosis Framework with Incremental Meta-Learning for Rotating Machinery
Ke Yue, Jipu Li, Zhuyun Chen, et al.
(2023), pp. 1-6
Closed Access
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