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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:

Transferable graph features-driven cross-domain rotating machinery fault diagnosis
Chaoying Yang, Jie Liu, Kaibo Zhou, et al.
Knowledge-Based Systems (2022) Vol. 250, pp. 109069-109069
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles
Zhongxu Hu, Shanhe Lou, Yang Xing, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 7, Iss. 3, pp. 417-440
Open Access | Times Cited: 103
Digital Twin Enabled Domain Adversarial Graph Networks for Bearing Fault Diagnosis
Ke Feng, Yadong Xu, Yulin Wang, et al.
IEEE Transactions on Industrial Cyber-Physical Systems (2023) Vol. 1, pp. 113-122
Open Access | Times Cited: 59
Semisupervised Subdomain Adaptation Graph Convolutional Network for Fault Transfer Diagnosis of Rotating Machinery Under Time-Varying Speeds
Pengfei Liang, Leitao Xu, Hanqin Shuai, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 1, pp. 730-741
Closed Access | Times Cited: 47
Time-frequency supervised contrastive learning via pseudo-labeling: An unsupervised domain adaptation network for rolling bearing fault diagnosis under time-varying speeds
Bin Pang, Qiuhai Liu, Zhenduo Sun, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102304-102304
Closed Access | Times Cited: 39
Adaptive Class Center Generalization Network: A Sparse Domain-Regressive Framework for Bearing Fault Diagnosis Under Unknown Working Conditions
Wang Bin, Long Wen, Xinyu Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 29
Trusted multi-source information fusion for fault diagnosis of electromechanical system with modified graph convolution network
Kongliang Zhang, Hongkun Li, Shunxin Cao, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102088-102088
Closed Access | Times Cited: 28
Semi-supervised meta-path space extended graph convolution network for intelligent fault diagnosis of rotating machinery under time-varying speeds
Ying Li, Lijie Zhang, Pengfei Liang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110363-110363
Closed Access | Times Cited: 13
A Semisupervised GCN Framework for Transfer Diagnosis Crossing Different Machines
Liuyang Song, Pengyuan Hao, Shikuan Zhang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 8326-8336
Closed Access | Times Cited: 7
A novel intelligent multicross domain fault diagnosis of servo motor-bearing system based on Domain Generalized Graph Convolution Autoencoder
Xiaoli Zhao, Yuanhao Hu, Jiahui Liu, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 7
SKND-TSACNN: A novel time-scale adaptive CNN framework for fault diagnosis of rotating machinery
Zidong Yu, Changhe Zhang, Jie Liu, et al.
Knowledge-Based Systems (2023) Vol. 275, pp. 110682-110682
Closed Access | Times Cited: 16
Source-free domain adaptation method for fault diagnosis of rotation machinery under partial information
Aobo Yu, Bolin Cai, Qiujie Wu, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110181-110181
Closed Access | Times Cited: 7
Cross-domain bearing fault diagnosis using dual-path convolutional neural networks and multi-parallel graph convolutional networks
Zhang Yong, Songzhao Zhang, Yuhao Zhu, et al.
ISA Transactions (2024) Vol. 152, pp. 129-142
Closed Access | Times Cited: 6
Large Model for Rotating Machine Fault Diagnosis Based on a Dense Connection Network With Depthwise Separable Convolution
Yi Qin, Taisheng Zhang, Quan Qian, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 5
Triplet adversarial Learning-driven graph architecture search network augmented with Probsparse-attention mechanism for fault diagnosis under Few-shot & Domain-shift
Yuanhong Chang, Jinglong Chen, Weiguang Zheng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 199, pp. 110462-110462
Closed Access | Times Cited: 13
A meta-path graph-based graph homogenization framework for machine fault diagnosis
Chaoying Yang, Jie Liu, Kaibo Zhou, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105960-105960
Closed Access | Times Cited: 12
Self-adaptive Single and Simultaneous Fault Diagnosis for Rotating Machinery via Redefined Signal Quality Indicator and Parallel Ensemble Network
Weixiong Jiang, Kaiwei Yu, Jun Wu, et al.
Applied Soft Computing (2025), pp. 112737-112737
Closed Access
SIGTN: A Novel Structural Infomax Graph Transfer Networks for Rotating Machinery Fault Diagnosis in Cross-Condition and Cross-Equipment Scenarios
Kongliang Zhang, Hongkun Li, Shunxin Cao, et al.
Reliability Engineering & System Safety (2025), pp. 110898-110898
Closed Access
Unsupervised structure subdomain adaptation based the Contrastive Cluster Center for bearing fault diagnosis
Pengfei Chen, Rongzhen Zhao, Tianjing He, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106141-106141
Closed Access | Times Cited: 12
SCG-GFFE: A Self-Constructed graph fault feature extractor based on graph Auto-encoder algorithm for unlabeled single-variable vibration signals of harmonic reducer
Shilong Sun, Hao Ding, Zida Zhao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102579-102579
Closed Access | Times Cited: 3
Discriminative manifold domain adaptation for cross-domain fault diagnosis of rotating machineries
Yi Qin, Zhengyi Wang, Quan Qian, et al.
Knowledge-Based Systems (2023) Vol. 285, pp. 111332-111332
Closed Access | Times Cited: 8
A Node-Level PathGraph-Based Bearing Remaining Useful Life Prediction Method
Chaoying Yang, Jie Liu, Kaibo Zhou, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 13
Transfer graph feature alignment guided multi-source domain adaptation network for machinery fault diagnosis
Zhengwu Liu, Xiang Zhong, Haidong Shao, et al.
Knowledge-Based Systems (2024), pp. 112606-112606
Closed Access | Times Cited: 2
A bearing fault diagnosis method for unknown operating conditions based on differentiated feature extraction
Wei Cao, Zong Meng, Jimeng Li, et al.
ISA Transactions (2024)
Closed Access | Times Cited: 2
Remaining useful life prediction for rotating machinery based on dynamic graph and spatial–temporal network
Xiangyu Zeng, Chaoying Yang, Jie Liu, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 3, pp. 035102-035102
Closed Access | Times Cited: 11
A Novel Multiscale Adaptive Graph Adversarial Network for Mechanical Fault Diagnosis
Jiayang Liu, Chaobing Wang, Xiaoru Wang, et al.
Knowledge-Based Systems (2024), pp. 112787-112787
Closed Access | Times Cited: 1
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