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:

Consistency Regularization Auto-Encoder Network for Semi-Supervised Process Fault Diagnosis
Yao Ma, Hongbo Shi, Shuai Tan, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-15
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

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
A Semi-Supervised Matrixized Graph Embedding Machine for Roller Bearing Fault Diagnosis Under Few-Labeled Samples
Haiyang Pan, Haifeng Xu, Jinde Zheng, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 854-863
Closed Access | Times Cited: 21
A holistic semi-supervised method for imbalanced fault diagnosis of rotational machinery with out-of-distribution samples
Zhangjun Wu, Renli Xu, Yuansheng Luo, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110297-110297
Closed Access | Times Cited: 9
A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis
Zhiqian Zhao, Yeyin Xu, Jiabin Zhang, et al.
Neural Networks (2024) Vol. 178, pp. 106482-106482
Closed Access | Times Cited: 5
Frequency-assisted Contrastive Learning with Cyclic Fine-tuning for Rotating Machinery Fault Diagnosis under Limited Labeled Data
Xinyu Li, Changming Cheng, Zhike Peng
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-11
Closed Access
A limited annotated sample fault diagnosis algorithm based on nonlinear coupling self-attention mechanism
Shuyang Luo, Dong Zhang, Jinhong Wu, et al.
Engineering Failure Analysis (2025), pp. 109474-109474
Closed Access
Semi-supervised medical image segmentation via weak-to-strong perturbation consistency and edge-aware contrastive representation
Yang Yang, Guoying Sun, Tong Zhang, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103450-103450
Closed Access
Relevance variable selection variational auto-encoder network for quality-related nonlinear process monitoring
Yao Ma, Hongbo Shi, Shuai Tan, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111333-111333
Closed Access | Times Cited: 3
Operating Condition Recognition of Industrial Flotation Processes Using Visual and Acoustic Bimodal Autoencoder With Manifold Learning
Chenliang Liu, Yalin Wang, Yijing Fang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7428-7439
Closed Access | Times Cited: 3
Semisupervised Graph Contrastive Learning for Process Fault Diagnosis
Mingwei Jia, Chao Yang, Qiang Liu, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 33, pp. 14712-14726
Closed Access | Times Cited: 3
Deep Spectral–Spatial Feature Fusion-Based Multiscale Adaptable Attention Network for Hyperspectral Feature Extraction
Wenbo Yu, He Huang, Gangxiang Shen
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-13
Closed Access | Times Cited: 17
Hybrid Semi-Supervised Learning for Rotating Machinery Fault Diagnosis Based on Grouped Pseudo Labeling and Consistency Regularization
Baoxuan Zhao, Changming Cheng, Shangyu Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 8
Deep Morphological Shrinkage Convolutional Autoencoder-Based Feature Learning of Vibration Signals for Gearbox Fault Diagnosis
Zhuang Ye, Yue Shang, Pu Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 2
Boosting efficient attention assisted cyclic adversarial auto-encoder for rotating component fault diagnosis under low label rates
Jianguo Miao, Zihao Deng, Congying Deng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108499-108499
Closed Access | Times Cited: 2
A Novel Ellipsoidal Semisupervised Extreme Learning Machine Algorithm and Its Application in Wind Turbine Blade Icing Fault Detection
Ruining Tong, Peng Li, Lian Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-16
Closed Access | Times Cited: 11
Two-view LSTM variational auto-encoder for fault detection and diagnosis in multivariable manufacturing processes
Qi Li, Yuwei Ren, Yixian Fang, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 29, pp. 22007-22026
Closed Access | Times Cited: 6
A Semisupervised Method With Swarm Intelligence Optimization for Intelligent Fault Diagnosis
Zhiming Xu, Zhixi Feng, Qiang Wu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 11, pp. 11968-11977
Closed Access | Times Cited: 5
Incremental Single-Class Fault Detection and Diagnosis Method for Rolling Bearings Based on OS-ELM
Huijuan Hao, Yuanyuan Zhao, Yu Chen, et al.
Electronics (2023) Vol. 12, Iss. 19, pp. 4099-4099
Open Access | Times Cited: 4
A Novel Impulse Information-Enhanced Semi-Supervised Learning for Few-Label Fault Diagnosis of Rotary Machines
Jing Wang, Guoqian Jiang, Lijin Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 22, pp. 27658-27669
Closed Access | Times Cited: 4
Toward understandable semi-supervised learning fault diagnosis of chemical processes based on long short-term memory ladder autoencoder (LSTM-LAE) and self-attention (SA)
Jing Yang, Xiaolong Ge, Botan Liu
Computers & Chemical Engineering (2024) Vol. 189, pp. 108817-108817
Closed Access | Times Cited: 1
Industrial Fault Detection Based on Discriminant Enhanced Stacking Auto-Encoder Model
Bowen Liu, Yi Chai, Yutao Jiang, et al.
Electronics (2022) Vol. 11, Iss. 23, pp. 3993-3993
Open Access | Times Cited: 6
Fault Diagnosis of Unseen Modes in Chemical Processes Based on Labeling and Class Progressive Adversarial Learning
Yutang Xiao, Hongbo Shi, Boyu Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-12
Closed Access | Times Cited: 5
Double Branch Rebalanced Network for Class Imbalance Learning in Process Fault Diagnosis
Yao Ma, Hongbo Shi, Shuai Tan, et al.
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 2, pp. 1057-1072
Closed Access | Times Cited: 2
A Manifold Consistency Interpolation Method of Poisoning Attacks Against Semi-supervised Model
Xinlei Wang, Xiaojuan Wang, Mingshu He, et al.
IEEE Transactions on Information Forensics and Security (2023) Vol. 18, pp. 5272-5285
Closed Access | Times Cited: 2
Discriminative Stacked Autoencoder: Feature-Integration Boosting for Bearing Fault Diagnosis
Shiya Liu, Jun He, Zhiwen Chen, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 22, pp. 27549-27558
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top