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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:

Self-Adaptation Graph Attention Network via Meta-Learning for Machinery Fault Diagnosis With Few Labeled Data
Jianyu Long, Rongxin Zhang, Zhe Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 32

Showing 1-25 of 32 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: 49
Two dimensional borophene nanomaterials: Recent developments for novel renewable energy storage applications
Chuan Li, Ayesha Khan Tareen, Jianyu Long, et al.
Progress in Solid State Chemistry (2023) Vol. 71, pp. 100416-100416
Closed Access | Times Cited: 28
Cross-domain few-shot fault diagnosis based on meta-learning and domain adversarial graph convolutional network
Junwei Hu, Weigang Li, Yong Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108970-108970
Closed Access | Times Cited: 13
Graph Attention Networks: A Comprehensive Review of Methods and Applications
Aristidis G. Vrahatis, Konstantinos Lazaros, Sotiris Kotsiantis
Future Internet (2024) Vol. 16, Iss. 9, pp. 318-318
Open Access | Times Cited: 11
Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging
Xin Li, Yong Li, Ke Yan, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108921-108921
Closed Access | Times Cited: 38
Industrial process fault diagnosis based on feature enhanced meta-learning toward domain generalization scenarios
Yu Gao, Jin Qi, Ying Sun, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111506-111506
Closed Access | Times Cited: 6
Federated temporal-context contrastive learning for fault diagnosis using multiple datasets with insufficient labels
Haowen Zheng, Hui Liu, Zhenyu Liu, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102432-102432
Closed Access | Times Cited: 6
Temporal-Spatial Attention Network: A Novel Axial Piston Pump Coupled Fault Diagnosis Method
S. B. Liu, Junhui Zhang, Weidi Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access | Times Cited: 6
MetaEmotionNet: Spatial–Spectral–Temporal-Based Attention 3-D Dense Network With Meta-Learning for EEG Emotion Recognition
Xiaojun Ning, Jing Wang, Youfang Lin, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-13
Closed Access | Times Cited: 16
Incrementally Contrastive Learning of Homologous and Interclass Features for the Fault Diagnosis of Rolling Element Bearings
Chuan Li, Xiaotong Lei, Yunwei Huang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 11182-11191
Closed Access | Times Cited: 13
Health prognosis of bearings based on transferable autoregressive recurrent adaptation with few-shot learning
Jichao Zhuang, Minping Jia, Cheng‐Geng Huang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111186-111186
Closed Access | Times Cited: 4
Few-shot Fault Diagnosis of Particle Accelerator Power System Using a Bidirectional Discriminative Prototype Network
Z. Yang, Rongbin Ye, Lingli Jiang, et al.
Applied Soft Computing (2025), pp. 112726-112726
Closed Access
Meta-learning for enhancing machines' intelligence in manufacturing
Goran D. Putnik
Tehnika (2025) Vol. 80, Iss. 1, pp. 57-75
Open Access
Meta-knowledge random attention update network for few-shot and anti-noise remaining useful life prediction
Jing Yang, Xiaomin Wang, Minglan Zhang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103358-103358
Closed Access
A multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case
Jiayang Liu, Fuqi Xie, Qiang Zhang, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 7, pp. 3197-3217
Closed Access | Times Cited: 10
Static Eccentricity Fault Location Diagnosis in Resolvers Using Siamese-Based Few-Shot Learning
Mahdi Emadaleslami, MohammadSadegh KhajueeZadeh, Farid Tootoonchian
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-9
Closed Access | Times Cited: 9
Ball Bearing Fault Diagnosis Using Recurrence Analysis
Krzysztof Kęcik, Arkadiusz Smagala, K.I. Lyubitska
Materials (2022) Vol. 15, Iss. 17, pp. 5940-5940
Open Access | Times Cited: 13
Wind turbine fault detection based on spatial-temporal feature and neighbor operation state
Xiaoyi Qian, Tianhe Sun, Yuxian Zhang, et al.
Renewable Energy (2023) Vol. 219, pp. 119419-119419
Closed Access | Times Cited: 7
A graph neural network based fault diagnosis strategy for power communication networks
Ziyi Wan, Limei Lin, Yanze Huang, et al.
Journal of the Chinese Institute of Engineers (2024) Vol. 47, Iss. 3, pp. 273-282
Closed Access | Times Cited: 2
Fault detection using Graph Neural Differential Auto-encoders (GNDAE)
Umang Goswami, Hariprasad Kodamana, Manojkumar Ramteke
Computers & Chemical Engineering (2024) Vol. 189, pp. 108775-108775
Closed Access | Times Cited: 2
Improved GNN based on Graph-Transformer: A new framework for rolling mill bearing fault diagnosis
Dongxiao Hou, Bo Zhang, Jiahui Chen, et al.
Transactions of the Institute of Measurement and Control (2024)
Closed Access | Times Cited: 2
Few-Shot Mechanical Fault Diagnosis for a High-Voltage Circuit Breaker via a Transformer–Convolutional Neural Network and Metric Meta-Learning
Jing Yan, Yanxin Wang, Zhou Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 6
Combine Harvester Bearing Fault-Diagnosis Method Based on SDAE-RCmvMSE
Guangyou Yang, Yuan Cheng, Chenbo Xi, et al.
Entropy (2022) Vol. 24, Iss. 8, pp. 1139-1139
Open Access | Times Cited: 9
A Weighted kNN Fault Detection Based on Multistep Index and Dynamic Neighborhood Scale Under Complex Working Conditions
Xiaoyi Qian, Tianhe Sun, Baoshi Wang, et al.
IEEE Access (2023) Vol. 11, pp. 49183-49192
Open Access | Times Cited: 4
Meta learning based residual network for industrial production quality prediction with limited data
Yiguan Shi, Yazhao Cao, Yong Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
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