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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 Novel Transformer-based Few-Shot Learning Method for Intelligent Fault Diagnosis with Noisy Labels under Varying Working Conditions
Haoyu Wang, Chuanjiang Li, Peng Ding, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110400-110400
Closed Access | Times Cited: 16

Showing 16 citing articles:

A personalized federated meta-learning method for intelligent and privacy-preserving fault diagnosis
Xiangjie Zhang, Chuanjiang Li, Changkun Han, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102781-102781
Closed Access | Times Cited: 12
A sound-vibration physical-information fusion constraint-guided deep learning method for rolling bearing fault diagnosis
You Keshun, Wang Puzhou, Peng Huang, et al.
Reliability Engineering & System Safety (2024), pp. 110556-110556
Closed Access | Times Cited: 12
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 | Times Cited: 1
Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance
Hao Luo, Xinyue Wang, Li Zhang
Actuators (2025) Vol. 14, Iss. 1, pp. 39-39
Open Access
A convolutional-transformer reinforcement learning agent for rotating machinery fault diagnosis
Zhenning Li, Hongkai Jiang, Yutong Dong
Expert Systems with Applications (2025) Vol. 271, pp. 126669-126669
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
A MID-1DC+LRT Multi-Task Model for SOH Assessment and RUL Prediction of Mechanical Systems
Hai Yang, Xudong Yang, Dong Sun, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1368-1368
Open Access
Ensemble-Based Model-Agnostic Meta-Learning with Operational Grouping for Intelligent Sensory Systems
M. Joan Mallick, Young-Dae Shim, Hong-In Won, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1745-1745
Open Access
A survey on learning from data with label noise via deep neural networks
Baoye Song, Shihao Zhao, L. Minh Dang, et al.
Systems Science & Control Engineering (2025) Vol. 13, Iss. 1
Open Access
Hydropower projects investment estimation artificial intelligence model by similarity measure-based few-shot machine learning
Mengnan Shi, Xinyu Qu, Hongtao Li, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 153, pp. 110891-110891
Closed Access
Sample less meta-learning fault diagnosis based on ordered time–frequency features
Cheng Wang, N. Wang, Lili Deng
Engineering Applications of Artificial Intelligence (2025) Vol. 154, pp. 110881-110881
Closed Access
Prototypeformer: Learning to explore prototype relationships for few-shot image classification
Mingjie Su, Feihong He, Gang Li, et al.
Neurocomputing (2025), pp. 130326-130326
Closed Access
A motor bearing fault diagnosis model based on multi-adversarial domain adaptation
Xinming Liu, Ruiming Zhang, Jin-Ping Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Investigating Transfer Learning in Noisy Environments: A Study of Predecessor and Successor Features in Spatial Learning Using a T-Maze
Incheol Seo, Hyunsu Lee
Sensors (2024) Vol. 24, Iss. 19, pp. 6419-6419
Open Access
A meta-learning based approach for temporal link prediction in multiplex networks
Sajjad Tofighy, Nasrollah Moghadam Charkari, Foad Ghaderi
Knowledge-Based Systems (2024), pp. 112803-112803
Closed Access
Research on bearing fault diagnosis based on a multimodal method
Hao Chen, Shengjie Li, Xi Lu, et al.
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 12, pp. 7688-7706
Open Access
Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis
Yi Liu, Jiajun Huang, Mingwei Jia
Advanced Intelligent Systems (2024)
Open Access
Meta doubly robust: Debiasing CVR prediction via meta-learning with a small amount of unbiased data
P. Li, Xiangrong Tong, Yingjie Wang, et al.
Knowledge-Based Systems (2024), pp. 112898-112898
Closed Access
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