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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:

A novel self-training semi-supervised deep learning approach for machinery fault diagnosis
Jianyu Long, Yibin Chen, Zhe Yang, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 23, pp. 8238-8251
Closed Access | Times Cited: 61

Showing 26-50 of 61 citing articles:

An imbalanced semi-supervised wind turbine blade icing detection method based on contrastive learning
Zixuan Wang, Bo Qin, Haiyue Sun, et al.
Renewable Energy (2023) Vol. 212, pp. 251-262
Closed Access | Times Cited: 10
Supply chain fraud prediction with machine learning and artificial intelligence
Mark Lokanan, Vikas Maddhesia
International Journal of Production Research (2024), pp. 1-28
Closed Access | Times Cited: 3
Subject-Independent Classification of Motor Imagery Tasks in EEG Using Multisubject Ensemble CNN
Irina Dolzhikova, Berdakh Abibullaev, Reza Sameni, et al.
IEEE Access (2022) Vol. 10, pp. 81355-81363
Open Access | Times Cited: 15
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
Exploring Research on the Construction and Application of Knowledge Graphs for Aircraft Fault Diagnosis
Xilang Tang, Chi Guo, Lijie Cui, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5295-5295
Open Access | Times Cited: 8
Intelligent Diagnosis of Rolling Bearings Fault Based on Multisignal Fusion and MTF-ResNet
Kecheng He, Yanwei Xu, Yun Wang, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6281-6281
Open Access | Times Cited: 8
Deep dynamic adaptation network: a deep transfer learning framework for rolling bearing fault diagnosis under variable working conditions
Huoyao Xu, Jie Liu, Xiangyu Peng, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2022) Vol. 45, Iss. 1
Closed Access | Times Cited: 13
Explainable fault prediction using learning fuzzy cognitive maps
Taha Mansouri, Sunil Vadera
Expert Systems (2023) Vol. 40, Iss. 8
Open Access | Times Cited: 7
A novel semi-supervised learning rolling bearing fault diagnosis method based on SNNGAN
Zhi Qiu, Shanfei Fan, Haibo Liang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086135-086135
Closed Access | Times Cited: 2
Self-Training of Cyber-Threat Classification Model With Threat-Payload Centric Augmentation
Jae‐Yeol Kim, Hyuk-Yoon Kwon
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 10, pp. 11740-11750
Closed Access | Times Cited: 2
A two-stage learning framework for imbalanced semi-supervised domain generalization fault diagnosis under unknown operating conditions
Chuanxia Jian, Heen Chen, Yinhui Ao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102878-102878
Closed Access | Times Cited: 2
A Data Fusion Analysis and Random Forest Learning for Enhanced Control and Failure Diagnosis in Rotating Machinery
Basim Ghalib Mejbel, Salwa Ahmad Sarow, Mushtaq Talib Al-Sharify, et al.
Journal of Failure Analysis and Prevention (2024)
Closed Access | Times Cited: 2
Weighted average selective ensemble strategy of deep convolutional models based on grey wolf optimizer and its application in rotating machinery fault diagnosis
Han Zhou, Ping Yan, Qin Huang, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121076-121076
Closed Access | Times Cited: 5
Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories
Sezer Dümen, Esra Kavalcı Yılmaz, Kemal Adem, et al.
European Food Research and Technology (2024) Vol. 250, Iss. 9, pp. 2291-2302
Open Access | Times Cited: 1
Generalized Simulation-Based Domain Adaptation Approach for Intelligent Bearing Fault Diagnosis
Thi Hue Nguyen, Vuong Viet Hung, Dao Duc Thinh, et al.
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 12, pp. 16941-16957
Closed Access | Times Cited: 1
Review on deep learning classifiers for faults diagnosis of rotating industrial machinery
Ameer Ali Shaalan, Wafa Mefteh, Ali Frihida
Service Oriented Computing and Applications (2024) Vol. 18, Iss. 4, pp. 361-379
Closed Access | Times Cited: 1
A semi-supervised learning method combining tool wear laws for machining tool wear states monitoring
Mengmeng Niu, Kuo Liu, Yongqing Wang
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112032-112032
Closed Access | Times Cited: 1
Recent advances in mechanism/data-driven fault diagnosis of complex engineering systems with uncertainties
Chong Wang, Xinxing Chen, Xin Qiang, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 11, pp. 29736-29772
Open Access | Times Cited: 1
Multi-Scale Recursive Semi-Supervised Deep Learning Fault Diagnosis Method with Attention Gate
Shanjie Tang, Chaoge Wang, Funa Zhou, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 153-153
Open Access | Times Cited: 4
Adversarial Fault Detector Guided by One-Class Learning for a Multistage Centrifugal Pump
Diego Cabrera, Mauricio Villacís, Mariela Cerrada, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 3, pp. 1395-1403
Closed Access | Times Cited: 7
A Weighted kNN Fault Detection Based on Multistep Index and Dynamic Neighborhood Scale Under Complex Working Conditions
Xiaoyi Qian, Tianhe Sun, Baoshi Wang, et al.
IEEE Access (2023) Vol. 11, pp. 49183-49192
Open Access | Times Cited: 3
A Customized Meta-Learning Framework for Diagnosing New Faults From Unseen Working Conditions With Few Labeled Data
Jianyu Long, Rongxin Zhang, Yibin Chen, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 2, pp. 1363-1373
Closed Access | Times Cited: 3
Semisupervised Contrastive Memory Network for Industrial Process Working Condition Monitoring
Zhaohui Tang, Jin Zhang, Yongfang Xie, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 3
A self-training algorithm based on the two-stage data editing method with mass-based dissimilarity
Jikui Wang, Yiwen Wu, Shaobo Li, et al.
Neural Networks (2023) Vol. 168, pp. 431-449
Closed Access | Times Cited: 3
Deep Domain Adaptation Using Cascaded Learning Networks and Metric Learning
Zhiyong Zeng, Dawei Li, Yang Xiujuan
IEEE Access (2023) Vol. 11, pp. 3564-3572
Open Access | Times Cited: 2

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