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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:

Cross-Domain Fault Diagnosis Using Knowledge Transfer Strategy: A Review
Huailiang Zheng, Rixin Wang, Yuantao Yang, et al.
IEEE Access (2019) Vol. 7, pp. 129260-129290
Open Access | Times Cited: 163

Showing 26-50 of 163 citing articles:

Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions
Shengkang Yang, Xianguang Kong, Qibin Wang, et al.
Knowledge-Based Systems (2022) Vol. 249, pp. 108639-108639
Closed Access | Times Cited: 63
Balanced Adaptation Regularization Based Transfer Learning for Unsupervised Cross-Domain Fault Diagnosis
Qin Hu, Xiaosheng Si, Aisong Qin, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 12, pp. 12139-12151
Closed Access | Times Cited: 60
Adaptive reconstruction of digital twins for machining systems: A transfer learning approach
Shimin Liu, Yuqian Lu, Pai Zheng, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 78, pp. 102390-102390
Closed Access | Times Cited: 57
Research on fault diagnosis of gas turbine rotor based on adversarial discriminative domain adaption transfer learning
Shucong Liu, Hongjun Wang, Jingpeng Tang, et al.
Measurement (2022) Vol. 196, pp. 111174-111174
Closed Access | Times Cited: 44
Review of transfer learning in modeling additive manufacturing processes
Yifan Tang, Mostafa Rahmani Dehaghani, G. Gary Wang
Additive manufacturing (2022) Vol. 61, pp. 103357-103357
Closed Access | Times Cited: 43
Autonomous assessment of delamination in laminated composites using deep learning and data augmentation
Asif Khan, Izaz Raouf, Yeong Rim Noh, et al.
Composite Structures (2022) Vol. 290, pp. 115502-115502
Closed Access | Times Cited: 37
Intelligent fault diagnosis of rolling bearings with low-quality data: A feature significance and diversity learning method
Jiayu Chen, Cuiyin Lin, Boqing Yao, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109343-109343
Closed Access | Times Cited: 32
Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis
Yu Zhang, Dongying Han, Jinghui Tian, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110484-110484
Closed Access | Times Cited: 28
Deep multi-scale separable convolutional network with triple attention mechanism: A novel multi-task domain adaptation method for intelligent fault diagnosis
Bo Zhao, Xianmin Zhang, Zhenhui Zhan, et al.
Expert Systems with Applications (2021) Vol. 182, pp. 115087-115087
Closed Access | Times Cited: 48
Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Journal of Intelligent Manufacturing (2021) Vol. 34, Iss. 2, pp. 587-613
Closed Access | Times Cited: 47
Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis
Qiyang Zhang, Zhibin Zhao, Xingwu Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-15
Closed Access | Times Cited: 45
Transfer learning with limited labeled data for fault diagnosis in nuclear power plants
Jiangkuan Li, Meng Lin, Yankai Li, et al.
Nuclear Engineering and Design (2022) Vol. 390, pp. 111690-111690
Closed Access | Times Cited: 35
Transferable adaptive channel attention module for unsupervised cross-domain fault diagnosis
Yaowei Shi, Aidong Deng, Minqiang Deng, et al.
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108684-108684
Closed Access | Times Cited: 33
Rolling bearing prognostic analysis for domain adaptation under different operating conditions
Maan Singh Rathore, S. P. Harsha
Engineering Failure Analysis (2022) Vol. 139, pp. 106414-106414
Closed Access | Times Cited: 30
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
Research on fault diagnosis method of MS-CNN rolling bearing based on local central moment discrepancy
Zong Meng, Wei Cao, Dengyun Sun, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101797-101797
Closed Access | Times Cited: 28
Experimental study on performance assessments of HVAC cross-domain fault diagnosis methods oriented to incomplete data problems
Qiang Zhang, Zhe Tian, Yakai Lu, et al.
Building and Environment (2023) Vol. 236, pp. 110264-110264
Closed Access | Times Cited: 19
Weighted domain separation based open set fault diagnosis
Xingwu Zhang, Yu Zhao, Xiaolei Yu, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109518-109518
Closed Access | Times Cited: 16
Dual Weighted-Class Adversarial Network for Rotary Machine Fault Diagnosis Using Multisource Domain with Class-Inconsistent Data
Shengkang Yang, Boyang Lei, Qibin Wang, et al.
IEEE/ASME Transactions on Mechatronics (2024) Vol. 29, Iss. 5, pp. 3473-3484
Closed Access | Times Cited: 6
Mitigating overconfidence in unknown sample predictions: A confidence-enhanced one-versus-all network for open-set transfer fault diagnosis
Yang Liu, Yaowei Shi, Minqiang Deng, et al.
Knowledge-Based Systems (2025), pp. 113013-113013
Closed Access
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
Application of Machine Learning and Deep Learning in Gearbox Fault Diagnosis: A Comprehensive Review
Shubhangi Suryawanshi, Umesh Ghorpade, Digvijay G. Bhosale, et al.
Lecture notes in networks and systems (2025), pp. 343-353
Closed Access
Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach
Omar Mohammed Amin Ali, Rebin Abdulkareem Hamaamin, Shahab Wahhab Kareem
Kurdistan Journal of Applied Research (2025) Vol. 10, Iss. 1, pp. 18-34
Open Access
Fault Diagnosis Across Aircraft Systems Using Image Recognition and Transfer Learning
Lilin Jia, Cordelia Mattuvarkuzhali Ezhilarasu, Ian Jennions
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3232-3232
Open Access
Query to reference single-cell integration with transfer learning
Mohammad Lotfollahi, Mohsen Naghipourfar, Malte D. Luecken, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 45

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