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:

Knowledge transfer in fault diagnosis of rotary machines
Guokai Liu, Weiming Shen, Liang Gao, et al.
IET Collaborative Intelligent Manufacturing (2022) Vol. 4, Iss. 1, pp. 17-34
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study
Chao Zhao, Enrico Zio, Weiming Shen
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109964-109964
Closed Access | Times Cited: 72

A literature review of fault diagnosis based on ensemble learning
Zhibao Mian, Xiaofei Deng, Xiaohui Dong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107357-107357
Open Access | Times Cited: 47

Informative knowledge distillation for image anomaly segmentation
Yunkang Cao, Qian Wan, Weiming Shen, et al.
Knowledge-Based Systems (2022) Vol. 248, pp. 108846-108846
Closed Access | Times Cited: 61

Adaptive open set domain generalization network: Learning to diagnose unknown faults under unknown working conditions
Chao Zhao, Weiming Shen
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108672-108672
Closed Access | Times Cited: 45

Mutual-assistance semisupervised domain generalization network for intelligent fault diagnosis under unseen working conditions
Chao Zhao, Weiming Shen
Mechanical Systems and Signal Processing (2022) Vol. 189, pp. 110074-110074
Closed Access | Times Cited: 40

Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
Yunkang Cao, Xiaohao Xu, Zhaoge Liu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 10674-10683
Open Access | Times Cited: 34

A comparative study of deep reinforcement learning based energy management strategy for hybrid electric vehicle
Zexing Wang, Hongwen He, Jiankun Peng, et al.
Energy Conversion and Management (2023) Vol. 293, pp. 117442-117442
Closed Access | Times Cited: 28

Transfer Learning-Based Intelligent Fault Detection Approach for the Industrial Robotic System
Izaz Raouf, Prashant Kumar, Hyewon Lee, et al.
Mathematics (2023) Vol. 11, Iss. 4, pp. 945-945
Open Access | Times Cited: 20

Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access

Transfer Learning Enabled Bearing Fault Detection Methods Based on Image Representations of Single-Dimensional Signals
Bilgin Umut Deveci, Mert Celtikoglu, Özlem Albayrak, et al.
Information Systems Frontiers (2023) Vol. 26, Iss. 4, pp. 1345-1397
Open Access | Times Cited: 12

Digital Cloning as a Self-Adaptive Multicriteria Optimization Process
Vagan Terziyan, Timo Tiihonen
Procedia Computer Science (2025) Vol. 253, pp. 37-48
Open Access

A federated distillation domain generalization framework for machinery fault diagnosis with data privacy
Chao Zhao, Weiming Shen
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107765-107765
Closed Access | Times Cited: 12

Intelligent fault diagnosis scheme for rotating machinery based on momentum contrastive bi-tuning framework
Jiankang Zhong, Hanling Mao, Weili Tang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106100-106100
Closed Access | Times Cited: 10

Using Cloning-GAN Architecture to Unlock the Secrets of Smart Manufacturing: Replication of Cognitive Models
Vagan Terziyan, Timo Tiihonen
Procedia Computer Science (2024) Vol. 232, pp. 890-902
Open Access | Times Cited: 3

Automated broad transfer learning for cross-domain fault diagnosis
Guokai Liu, Weiming Shen, Liang Gao, et al.
Journal of Manufacturing Systems (2022) Vol. 66, pp. 27-41
Closed Access | Times Cited: 17

Unknown-class recognition adversarial network for open set domain adaptation fault diagnosis of rotating machinery
Ke Wu, Wei Xu, Qiming Shu, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 3

A Novel Method of Fault Diagnosis for Injection Molding Systems Based on Improved VGG16 and Machine Vision
Zhicheng Hu, Zhengjie Yin, Ling Qin, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 14280-14280
Open Access | Times Cited: 12

Nonlinear mechanical response analysis and convolutional neural network enabled diagnosis of single-span rotor bearing system
Bing Qian, Yinhui Cai, Yinkang Ran, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Review on deep learning classifiers for faults diagnosis of rotating industrial machinery
Ameer Ali Shaalan, Wafa Mefteh, Ali Frihida
Service Oriented Computing and Applications (2024) Vol. 18, Iss. 4, pp. 361-379
Closed Access | Times Cited: 1

Intelligent fault diagnosis of rotating machinery using lightweight network with modified tree‐structured parzen estimators
Jingkang Liang, Yixiao Liao, Zhuyun Chen, et al.
IET Collaborative Intelligent Manufacturing (2022) Vol. 4, Iss. 3, pp. 194-207
Open Access | Times Cited: 7

An Industrial Fault Diagnostic System Based on a Cubic Dynamic Uncertain Causality Graph
Xusong Bu, Hao Nie, Zhan Zhang, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4118-4118
Open Access | Times Cited: 7

Active label-denoising algorithm based on broad learning for annotation of machine health status
GuoKai Liu, Weiming Shen, Liang Gao, et al.
Science China Technological Sciences (2022) Vol. 65, Iss. 9, pp. 2089-2104
Closed Access | Times Cited: 4

Active Broad-Transfer Learning Algorithm for Class-Imbalanced Fault Diagnosis
Guokai Liu, Weiming Shen, Liang Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-16
Closed Access | Times Cited: 4

Uncertainty‐aware nuclear power turbine vibration fault diagnosis method integrating machine learning and heuristic algorithm
Ruirui Zhong, Yixiong Feng, Puyan Li, et al.
IET Collaborative Intelligent Manufacturing (2024) Vol. 6, Iss. 3
Open Access

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