Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Intelligent Fault Diagnosis via Semisupervised Generative Adversarial Nets and Wavelet Transform
Pengfei Liang, Chao Deng, Jun Wu, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 7, pp. 4659-4671
Closed Access | Times Cited: 88

Showing 1-25 of 88 citing articles:

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
Weihua Li, Ruyi Huang, Jipu Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108487-108487
Open Access | Times Cited: 523
Federated Transfer Learning for Intelligent Fault Diagnostics Using Deep Adversarial Networks With Data Privacy
Zhang We, Xiang Li
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 1, pp. 430-439
Closed Access | Times Cited: 146
Deep representation clustering-based fault diagnosis method with unsupervised data applied to rotating machinery
Xiang Li, Xu Li, Hui Ma
Mechanical Systems and Signal Processing (2020) Vol. 143, pp. 106825-106825
Closed Access | Times Cited: 137
Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives
Tongyang Pan, Jinglong Chen, Tianci Zhang, et al.
ISA Transactions (2021) Vol. 128, pp. 1-10
Closed Access | Times Cited: 133
Imbalanced fault diagnosis of rolling bearing using improved MsR-GAN and feature enhancement-driven CapsNet
Jie Liu, Changhe Zhang, Xingxing Jiang
Mechanical Systems and Signal Processing (2021) Vol. 168, pp. 108664-108664
Closed Access | Times Cited: 125
Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning
Yongchao Zhang, Kun Yu, Zihao Lei, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120854-120854
Closed Access | Times Cited: 74
A Meta-Learning Method for Electric Machine Bearing Fault Diagnosis Under Varying Working Conditions With Limited Data
Jianjun Chen, Weihao Hu, Di Cao, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 3, pp. 2552-2564
Closed Access | Times Cited: 71
Fault diagnosis in rotating machines based on transfer learning: Literature review
Iqbal Misbah, C.K.M. Lee, K. L. Keung
Knowledge-Based Systems (2023) Vol. 283, pp. 111158-111158
Closed Access | Times Cited: 57
Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks
Xiang Li, Zhang We, Hui Ma, et al.
Neural Networks (2020) Vol. 129, pp. 313-322
Closed Access | Times Cited: 127
Remaining Useful Life Prognosis Based on Ensemble Long Short-Term Memory Neural Network
Yiwei Cheng, Jun Wu, Haiping Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-12
Closed Access | Times Cited: 109
Memristor-Based Hyperchaotic Maps and Application in Auxiliary Classifier Generative Adversarial Nets
Han Bao, Zhongyun Hua, Houzhen Li, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 8, pp. 5297-5306
Closed Access | Times Cited: 98
Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions
Fei Wang, Ruonan Liu, Qinghua Hu, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 4, pp. 2511-2521
Closed Access | Times Cited: 78
A Stacked Auto-Encoder Based Partial Adversarial Domain Adaptation Model for Intelligent Fault Diagnosis of Rotating Machines
Zhaohua Liu, Biliang Lu, Hua‐Liang Wei, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 10, pp. 6798-6809
Closed Access | Times Cited: 70
Similarity-Measured Isolation Forest: Anomaly Detection Method for Machine Monitoring Data
Changgen Li, Liang Guo, Hongli Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-12
Closed Access | Times Cited: 55
Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates
Shen Yan, Haidong Shao, Yiming Xiao, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101648-101648
Closed Access | Times Cited: 40
Semi-supervised learning for industrial fault detection and diagnosis: A systemic review
José Miguel Ramírez‐Sanz, Jose-Alberto Maestro-Prieto, Álvar Arnaiz‐González, et al.
ISA Transactions (2023) Vol. 143, pp. 255-270
Open Access | Times Cited: 36
FTGAN: A Novel GAN-Based Data Augmentation Method Coupled Time–Frequency Domain for Imbalanced Bearing Fault Diagnosis
Haoyu Wang, Peng Li, Xun Lang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 30
Intelligent fault diagnosis of bearings under small samples: A mechanism-data fusion approach
Kun Xu, Xianguang Kong, Qibin Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107063-107063
Closed Access | Times Cited: 29
Knowledge-informed deep networks for robust fault diagnosis of rolling bearings
Yunsheng Su, Luojie Shi, Kai Zhou, et al.
Reliability Engineering & System Safety (2023) Vol. 244, pp. 109863-109863
Closed Access | Times Cited: 29
FedLED: Label-Free Equipment Fault Diagnosis With Vertical Federated Transfer Learning
Jie Shen, Shusen Yang, Cong Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Open Access | Times Cited: 9
A Novel Multidomain Contrastive-Coding-Based Open-Set Domain Generalization Framework for Machinery Fault Diagnosis
Biliang Lu, Yingjie Zhang, Qingshuai Sun, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 4, pp. 6369-6381
Closed Access | Times Cited: 8
A consistency regularization based semi-supervised learning approach for intelligent fault diagnosis of rolling bearing
Kun Yu, Hui Ma, Tian Ran Lin, et al.
Measurement (2020) Vol. 165, pp. 107987-107987
Closed Access | Times Cited: 64
Adversarial Multiple-Target Domain Adaptation for Fault Classification
Mohamed Ragab, Zhenghua Chen, Min Wu, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 63
An Imbalanced Fault Diagnosis Method for Rolling Bearing Based on Semi-Supervised Conditional Generative Adversarial Network With Spectral Normalization
Minqiu Xu, Youqing Wang
IEEE Access (2021) Vol. 9, pp. 27736-27747
Open Access | Times Cited: 44
Whitening-Net: A Generalized Network to Diagnose the Faults Among Different Machines and Conditions
Jie Li, Yu Wang, Yanyang Zi, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 10, pp. 5845-5858
Closed Access | Times Cited: 44
Page 1 - Next Page

Scroll to top