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 Neural Network Ensemble for the Intelligent Fault Diagnosis of Machines Under Imbalanced Data
Feng Jia, Shihao Li, Hao Zuo, et al.
IEEE Access (2020) Vol. 8, pp. 120974-120982
Open Access | Times Cited: 34
Feng Jia, Shihao Li, Hao Zuo, et al.
IEEE Access (2020) Vol. 8, pp. 120974-120982
Open Access | Times Cited: 34
Showing 26-50 of 34 citing articles:
Deep Discriminative Feature Learning and Feature Space Transformation for Scalable Machine Fault Diagnosis
K. T. Sreekumar, C. Santhosh Kumar, K.I. Ramachandran
IEEE Access (2024) Vol. 12, pp. 107944-107958
Open Access
K. T. Sreekumar, C. Santhosh Kumar, K.I. Ramachandran
IEEE Access (2024) Vol. 12, pp. 107944-107958
Open Access
Class-Imbalance and Client-Imbalance Federated Learning for Fault Diagnosis
Sun Shu, Jinchuan Qian, Xinmin Zhang, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 860-865
Closed Access
Sun Shu, Jinchuan Qian, Xinmin Zhang, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 860-865
Closed Access
Ensemble-Based Alzheimer's Disease Classification Using Features Extracted from Hog Descriptor and Pre-trained Models
Nedim Muzoğlu, Enver Akbacak
Sakarya University Journal of Computer and Information Sciences (2024)
Open Access
Nedim Muzoğlu, Enver Akbacak
Sakarya University Journal of Computer and Information Sciences (2024)
Open Access
Multi-condition fault diagnosis based on adaptive transfer and broad learning under imbalanced data
午恺 姜, 平 周
Scientia Sinica Informationis (2022)
Closed Access | Times Cited: 2
午恺 姜, 平 周
Scientia Sinica Informationis (2022)
Closed Access | Times Cited: 2
Gradient Deep Learning Boosting and Its Application on the Imbalanced Datasets Containing Noises in Manufacturing
Duc-Khanh Nguyen, Chien‐Lung Chan, Dinh‐Van Phan
Smart innovation, systems and technologies (2022), pp. 225-235
Closed Access | Times Cited: 1
Duc-Khanh Nguyen, Chien‐Lung Chan, Dinh‐Van Phan
Smart innovation, systems and technologies (2022), pp. 225-235
Closed Access | Times Cited: 1
A Multidimensional Feature Fusion Network for Fault Diagnosis of High-Speed Train Bogie Under Imbalanced Data
Yiting You, Junjie Ma, Tianwei Wang, et al.
(2023), pp. 5114-5119
Closed Access
Yiting You, Junjie Ma, Tianwei Wang, et al.
(2023), pp. 5114-5119
Closed Access
Improved Knowledge Transfer based on Stacked Denoising Autoencoder and Graph Convolutional Network for Fault Diagnosis of Rolling Bearings
Tianyu Yang, Wei Guo
(2023), pp. 1-6
Closed Access
Tianyu Yang, Wei Guo
(2023), pp. 1-6
Closed Access
Machinery Fault Diagnosis Methods Based on Deep Learning
Liuyang Song, Zhiqiang Liao, Haihong Tang, et al.
(2021) Vol. 65, Iss. 4, pp. 144-150
Closed Access
Liuyang Song, Zhiqiang Liao, Haihong Tang, et al.
(2021) Vol. 65, Iss. 4, pp. 144-150
Closed Access
Machine Learning and Imbalanced Learning Approaches in Condition-Based Monitoring and Predictive Maintenance: A Systematic Literature Review
Abed Mutemi, Fernando Bação
SSRN Electronic Journal (2021)
Closed Access
Abed Mutemi, Fernando Bação
SSRN Electronic Journal (2021)
Closed Access
