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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:

Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions
Jipu Li, Ruyi Huang, Zhuyun Chen, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101883-101883
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

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
A modified active learning intelligent fault diagnosis method for rolling bearings with unbalanced samples
Jiantao Lu, Wei Wu, Xin Huang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102397-102397
Closed Access | Times Cited: 16
An interpretable waveform segmentation model for bearing fault diagnosis
Hao Li, Jing Lin, Zongyang Liu, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102480-102480
Closed Access | Times Cited: 16
Semi-supervised fault diagnosis of gearbox based on feature pre-extraction mechanism and improved generative adversarial networks under limited labeled samples and noise environment
Lijie Zhang, Bin Wang, Pengfei Liang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102211-102211
Closed Access | Times Cited: 27
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
SSPENet: Semi-supervised prototype enhancement network for rolling bearing fault diagnosis under limited labeled samples
Xuejian Yao, Xingchi Lu, Quan Jiang, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102560-102560
Closed Access | Times Cited: 11
Explainable Deep Ensemble Model for Bearing Fault Diagnosis Under Variable Conditions
Zhuyun Chen, Qin Wu, Guolin He, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 15, pp. 17737-17750
Closed Access | Times Cited: 19
Novel joint transfer fine-grained metric network for cross-domain few-shot fault diagnosis
Junwei Hu, Weigang Li, Ailong Wu, et al.
Knowledge-Based Systems (2023) Vol. 279, pp. 110958-110958
Closed Access | Times Cited: 19
Attribute fusion transfer for zero-shot fault diagnosis
Linchuan Fan, Xiaolong Chen, Yi Chai, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102204-102204
Closed Access | Times Cited: 18
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
A quality-relevant deep rule-based system with complementary lifelong learning for adaptive quality prediction in industrial semi-supervised process data streams
Yu Gao, Huaiping Jin, Zhiqiang Wang, et al.
Information Sciences (2025), pp. 122036-122036
Closed Access
Unsupervised Continual Source-Free Network for Fault Diagnosis of Machines Under Multiple Diagnostic Domains
Jipu Li, Ke Yue, Ruyi Huang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 8, pp. 8292-8303
Closed Access | Times Cited: 15
Cloud-Edge Test-Time Adaptation for Cross-Domain Online Machinery Fault Diagnosis via Customized Contrastive Learning
Mengliang Zhu, Jie Liu, Zhongxu Hu, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102514-102514
Closed Access | Times Cited: 4
VKCNN: An interpretable variational kernel convolutional neural network for rolling bearing fault diagnosis
Guangyi Chen, Guping Tang, Z. K. Zhu
Advanced Engineering Informatics (2024) Vol. 62, pp. 102705-102705
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
EverAdapt: Continuous adaptation for dynamic machine fault diagnosis environments
Edward Edward, Mohamed Ragab, Mohamed Ragab, et al.
Mechanical Systems and Signal Processing (2025) Vol. 226, pp. 112317-112317
Closed Access
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
The human-centric framework integrating knowledge distillation architecture with fine-tuning mechanism for equipment health monitoring
Jr-Fong Dang, Tzu‐Li Chen, Hung‐Yi Huang
Advanced Engineering Informatics (2025) Vol. 65, pp. 103167-103167
Closed Access
A Cross-Machine Intelligent Fault Diagnosis Method with Small and Imbalanced Data Based on the ResFCN Deep Transfer Learning Model
Juanru Zhao, Yuan Mei, Yiwen Cui, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1189-1189
Open Access
Calibrated source-free adaptation for intelligent diagnosis
Hao Li, Zongyang Liu, Jing Lin, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112582-112582
Closed Access
Triboelectric sensor-empowered intelligent mouse combined with machine learning technology strides toward a computer security system
Weiqiang Zhang, Mingxin Liu, Xiaozhou Lü, et al.
Nano Energy (2024) Vol. 126, pp. 109666-109666
Closed Access | Times Cited: 3
Differgram: A convex optimization-based method for extracting optimal frequency band for fault diagnosis of rotating machinery
Jianchun Guo, Yi Liu, Ronggang Yang, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123051-123051
Closed Access | Times Cited: 10
A novel incremental method for bearing fault diagnosis that continuously incorporates unknown fault types
Haoxiang He, Cunbo Zhuang, Hui Xiong
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111524-111524
Closed Access | Times Cited: 3
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