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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:

Open-Set Fault Diagnosis via Supervised Contrastive Learning With Negative Out-of-Distribution Data Augmentation
Peng Peng, Jiaxun Lu, Tingyu Xie, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 3, pp. 2463-2473
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Multi-scale style generative and adversarial contrastive networks for single domain generalization fault diagnosis
Jun Wang, He Ren, Changqing Shen, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109879-109879
Closed Access | Times Cited: 41
Counterfactual-augmented few-shot contrastive learning for machinery intelligent fault diagnosis with limited samples
Yunpeng Liu, Hongkai Jiang, Renhe Yao, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111507-111507
Closed Access | Times Cited: 32
Learning to Imbalanced Open Set Generalize: A Meta-Learning Framework for Enhanced Mechanical Diagnosis
Changdong Wang, Shu Zhou, Jingli Yang, et al.
IEEE Transactions on Cybernetics (2025) Vol. 55, Iss. 3, pp. 1464-1475
Closed Access | Times Cited: 1
ChatGPT-like large-scale foundation models for prognostics and health management: A survey and roadmaps
Yan‐Fu Li, Huan Wang, Muxia Sun
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109850-109850
Open Access | Times Cited: 34
Domain Discrepancy-Guided Contrastive Feature Learning for Few-Shot Industrial Fault Diagnosis Under Variable Working Conditions
Tianci Zhang, Jinglong Chen, Shen Liu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 10, pp. 10277-10287
Closed Access | Times Cited: 26
Federated transfer learning for machinery fault diagnosis: A comprehensive review of technique and application
Quan Qian, Bin Zhang, Chuan Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111837-111837
Closed Access | Times Cited: 10
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
Open-set domain generalization for fault diagnosis through data augmentation and a dual-level weighted mechanism
Chuanxia Jian, Yonghe Peng, Guopeng Mo, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102703-102703
Closed Access | Times Cited: 7
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
M-Net: a novel unsupervised domain adaptation framework based on multi-kernel maximum mean discrepancy for fault diagnosis of rotating machinery
Shihang Yu, Limei Song, Shanchen Pang, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 3, pp. 3259-3272
Open Access | Times Cited: 6
Differential contrast guidance for aeroengine fault diagnosis with limited data
Wenhui He, Lin Lin, Song Fu, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition
Wei Ai, Yuntao Shou, Tao Meng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 4908-4921
Closed Access | Times Cited: 5
Cross-Domain Compound Fault Diagnosis of Machine-Level Motors via Time–Frequency Self-Contrastive Learning
Yiming He, Chao Zhao, Weiming Shen
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 7, pp. 9692-9701
Closed Access | Times Cited: 5
Self-Supervised-Enabled Open-Set Cross-Domain Fault Diagnosis Method for Rotating Machinery
Li Wang, Yiping Gao, Xinyu Li, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10314-10324
Closed Access | Times Cited: 5
Continuous hierarchical symbolic deviation entropy: A more robust entropy and its application to rolling bearing fault diagnosis
Jie Zhou, Shiwu Li, Jinyan Guo, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112409-112409
Closed Access
A new domain robust one-class fault detection framework for large-scale chemical processes
Rui Wang, Kun Zhou, Hao Huang, et al.
Chemical Engineering Science (2025) Vol. 306, pp. 121322-121322
Closed Access
A synchronization-induced cross-modal contrastive learning strategy for fault diagnosis of electromechanical systems under semi-supervised learning with current signal
Qinyuan Luo, Jinglong Chen, Yanyang Zi, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123801-123801
Closed Access | Times Cited: 4
A propagation path-based interpretable neural network model for fault detection and diagnosis in chemical process systems
Benjamin Nguyen, Moncef Chioua
Control Engineering Practice (2024) Vol. 150, pp. 105988-105988
Open Access | Times Cited: 4
CCMnet: a cluster-level contrastive cross-domain framework for GIS insulation defects diagnosis
Yu Song, Rui Wang, Bin Gou, et al.
Knowledge-Based Systems (2025), pp. 113081-113081
Closed Access
Active Incremental Learning for Health State Assessment of Dynamic Systems With Unknown Scenarios
Chang Liu, Yi Zhang, Zhongjun Ding, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 2, pp. 1863-1873
Closed Access | Times Cited: 20
Coupling Fault Diagnosis Based on Dynamic Vertex Interpretable Graph Neural Network
Shenglong Wang, Bo Jing, Jinxin Pan, et al.
(2024)
Open Access | Times Cited: 3
Noise-Boosted Convolutional Neural Network for Edge-Based Motor Fault Diagnosis With Limited Samples
Chen Lv, Kang An, Dali Huang, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 9, pp. 9491-9502
Open Access | Times Cited: 18
Resilience-aware MLOps for AI-based medical diagnostic system
Viacheslav Moskalenko, Vyacheslav Kharchenko
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 3
On the data quality and imbalance in machine learning-based design and manufacturing—A systematic review
Yaoyao Fiona Zhao, Jiarui Xie, Lijun Sun
Engineering (2024)
Open Access | Times Cited: 3
A domain adaptation method based on interpolation and centroid representation for open-set fault diagnosis of bearing
Bo Lin, Kong Sun, Daiping Wei
Measurement (2023) Vol. 216, pp. 112945-112945
Closed Access | Times Cited: 8
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