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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 Variational Autoencoder Classifier for Intelligent Fault Diagnosis Adaptive to Unseen Fault Categories
Anqi He, Xiaoning Jin
IEEE Transactions on Reliability (2021) Vol. 70, Iss. 4, pp. 1581-1595
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles
Te Han, Yan‐Fu Li
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108648-108648
Closed Access | Times Cited: 156
Data Augmentation and Intelligent Fault Diagnosis of Planetary Gearbox Using ILoFGAN Under Extremely Limited Samples
Mingzhi Chen, Haidong Shao, Haoxuan Dou, et al.
IEEE Transactions on Reliability (2022) Vol. 72, Iss. 3, pp. 1029-1037
Open Access | Times Cited: 127
A review on autoencoder based representation learning for fault detection and diagnosis in industrial processes
Jinchuan Qian, Zhihuan Song, Yuan Yao, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 231, pp. 104711-104711
Open Access | Times Cited: 119
Deep order-wavelet convolutional variational autoencoder for fault identification of rolling bearing under fluctuating speed conditions
Xiaoan Yan, Daoming She, Yadong Xu
Expert Systems with Applications (2022) Vol. 216, pp. 119479-119479
Closed Access | Times Cited: 68
Fault diagnosis using variational autoencoder GAN and focal loss CNN under unbalanced data
Weihan Li, Dunke Liu, Yang Li, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 24
Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers
Jun Zhu, Cheng‐Geng Huang, Changqing Shen, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 11, pp. 8077-8086
Closed Access | Times Cited: 70
Latent variable models in the era of industrial big data: Extension and beyond
Xiangyin Kong, Xiaoyu Jiang, Bingxin Zhang, et al.
Annual Reviews in Control (2022) Vol. 54, pp. 167-199
Open Access | Times Cited: 63
Hydrogenerator early fault detection: Sparse Dictionary Learning jointly with the Variational Autoencoder
Ryad Zemouri, Rony Ibrahim, Antoine Tahan
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105859-105859
Closed Access | Times Cited: 22
Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes
Ning Zhang, Yuan Xu, Qunxiong Zhu, et al.
IEEE Transactions on Reliability (2022) Vol. 72, Iss. 1, pp. 204-213
Closed Access | Times Cited: 33
A New Multisource Domain Bearing Fault Diagnosis Method With Adaptive Dual-Domain Obfuscation Weighting Strategy
Changqing Shen, Jing Tian, Jun Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 19
Autoregressive data generation method based on wavelet packet transform and cascaded stochastic quantization for bearing fault diagnosis under unbalanced samples
Yawei Sun, Hongfeng Tao, Vladimir Stojanović
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109402-109402
Closed Access | Times Cited: 6
A Simple Framework to Generalized Zero-Shot Learning for Fault Diagnosis of Industrial Processes
Jiacheng Huang, Zuxin Li, Zhe Zhou
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 6, pp. 1504-1506
Closed Access | Times Cited: 15
An intelligent data-driven adaptive health state assessment approach for rolling bearings under single and multiple working conditions
Wenqin Zhao, Yaqiong Lv, C.K.M. Lee, et al.
Computers & Industrial Engineering (2025), pp. 110988-110988
Closed Access
Audible Noise Evaluation in Wind Turbines Through Artificial Intelligence Techniques
M. F. Silva, Juliano Emir Nunes Masson, M. F. Santos, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1492-1492
Open Access
A COMPARATIVE STUDY OF DIVERSE AUTOENCODER MODELS IN LOCAL GEAR PITTING FAULT DIAGNOSIS
Mustafa Yurtsever, Rafet Can Ümütlü, Hasan Öztürk
Konya Journal of Engineering Sciences (2025) Vol. 13, Iss. 1, pp. 59-73
Open Access
Prognostics and health management for induction machines: a comprehensive review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 3, pp. 937-962
Closed Access | Times Cited: 11
An adaptive few-shot fault diagnosis method based on virtual samples generated by fault characteristics of rotating machines
Peng Wu, Gongye Yu, Qianqian Yu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109017-109017
Closed Access | Times Cited: 3
A multi-model data-fusion based deep transfer learning for improved remaining useful life estimation for IIOT based systems
Sourajit Behera, Rajiv Misra
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105712-105712
Closed Access | Times Cited: 17
Twofold Weighted-Based Statistical Feature KECA for Nonlinear Industrial Process Fault Diagnosis
Tao Li, Yongming Han, Xuan Hu, et al.
IEEE Transactions on Automation Science and Engineering (2024) Vol. 22, pp. 3901-3910
Closed Access | Times Cited: 3
Cross-domain transfer fault diagnosis by class-imbalanced deep subdomain adaptive network
Jianyu Zhou, Xiangfeng Zhang, Hong Jiang, et al.
Measurement (2024) Vol. 242, pp. 115901-115901
Closed Access | Times Cited: 3
Cross-Domain Open-Set Fault Diagnosis Based on Target Domain Slanted Adversarial Network for Rotating Machinery
Zuqiang Su, Weilong Jiang, Yang Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 8
Thermal Images Captured and Classifier-based Fault Detection System for Electric Motors Through ML Based Model
Nachaat Mohamed, Naveen Kumar Baskaran, Pravin P. Patil, et al.
(2023), pp. 649-654
Closed Access | Times Cited: 8
Adversarial Training-Based Deep Layer-Wise Probabilistic Network for Enhancing Soft Sensor Modeling of Industrial Processes
Yongfang Xie, Jie Wang, Shiwen Xie, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 54, Iss. 2, pp. 972-984
Closed Access | Times Cited: 8
Sensor Fault Detection in Smart Extraterrestrial Habitats Using Unsupervised Learning
Zixin Wang, Mohammad R. Jahanshahi, Mohsen Azimi, et al.
AIAA Journal (2024) Vol. 62, Iss. 9, pp. 3225-3243
Closed Access | Times Cited: 2
LiteFormer: A Lightweight and Efficient Transformer for Rotating Machine Fault Diagnosis
Wenjun Sun, Ruqiang Yan, Ruibing Jin, et al.
IEEE Transactions on Reliability (2023) Vol. 73, Iss. 2, pp. 1258-1269
Closed Access | Times Cited: 6
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