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 fault diagnosis method of bearings based on deep transfer learning
Min Huang, Jinghan Yin, Shumin Yan, et al.
Simulation Modelling Practice and Theory (2022) Vol. 122, pp. 102659-102659
Open Access | Times Cited: 52

Showing 26-50 of 52 citing articles:

Transferable mapping shift network for unsupervised domain adaptation using in vibration signal fault diagnosis under variable conditions
Shouquan Che, Lin He, Yongzhi Liu, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. S1, pp. 199-209
Closed Access | Times Cited: 1

A Multiscale Feature Weighted Transfer Network for Unlabeled Rotating Machinery Fault Diagnosis
Liang Ge, Yinjun Wang, Xiaoxi Ding, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 12, pp. 19305-19315
Closed Access | Times Cited: 1

A New Bearing Fault Diagnosis Method Based on Deep Transfer Network and Supervised Joint Matching
Chengyao Liu, Fei Dong, Kunpeng Ge, et al.
IEEE photonics journal (2024) Vol. 16, Iss. 3, pp. 1-17
Open Access | Times Cited: 1

Multi-Perception Graph Convolution Transfer Network Bearing Fault Diagnosis Method
Xiaolei Pan, Hongxiao Chen, Dongdong Zhao, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4515-4515
Open Access | Times Cited: 1

A Real-Time Fault Diagnosis Method for Multi-Source Heterogeneous Information Fusion Based on Two-Level Transfer Learning
Danmin Chen, Zhiqiang Zhang, Funa Zhou, et al.
Entropy (2024) Vol. 26, Iss. 12, pp. 1007-1007
Open Access | Times Cited: 1

Pseudo-label guided dual classifier domain adversarial network for unsupervised cross-domain fault diagnosis with small samples
Yawei Sun, Hongfeng Tao, Vladimir Stojanović
Advanced Engineering Informatics (2024) Vol. 64, pp. 102986-102986
Closed Access | Times Cited: 1

Differentiable neural architecture search for domain adaptation in fault diagnosis
Yumeng Liu, Xudong Li, Yang Hu
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110639-110639
Closed Access | Times Cited: 3

Semi-Supervised Adversarial Transfer Networks for Cross-Domain Intelligent Fault Diagnosis of Rolling Bearings
Baisong Pan, Wuyan Wang, Juan Wen, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2626-2626
Open Access | Times Cited: 2

Menggunakan Xception, Transfer Learning, dan Permutasi untuk Meningkatkan Klasifikasi Ketidaksempurnaan Permukaan Baja
Popong Setiawati, Adhitio Satyo Bayangkari Karno, Widi Hastomo, et al.
MALCOM Indonesian Journal of Machine Learning and Computer Science (2024) Vol. 4, Iss. 1, pp. 350-358
Open Access

Multi-residual unit fusion and Wasserstein distance-based deep transfer learning for mill load recognition
Huazhi Xu, Xiaoyan Luo, Wencong Xiao
Signal Image and Video Processing (2024) Vol. 18, Iss. 4, pp. 3187-3196
Closed Access

Bearing fault diagnosis method based on multi-domain feature fusion and heterogeneous network under small sample conditions
Xiaoqiang Zhao, Sen Li
Signal Image and Video Processing (2024) Vol. 18, Iss. 11, pp. 8131-8148
Open Access

A Novel Method for Bearing Fault Diagnosis Based on Novel Feature Sets with Machine Learning Technique
Asmita R. Mali, P. V. Shinde, Amit Patil, et al.
Journal of Tribology (2024) Vol. 147, Iss. 2
Closed Access

An unsupervised transfer learning gear fault diagnosis method based on parameter-optimized VMD and residual attention networks
Jiaocheng Ma, Hongdong Lv, Qin Liu, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 11
Closed Access

SCML-GNN: A Graph Neural Network Model Leveraging Sensor Causality and Meta-Learning for Mechanical Fault Classification
Ziyi Xiao, Yueyang Wang, Gang Tan, et al.
International Journal of Pattern Recognition and Artificial Intelligence (2024) Vol. 38, Iss. 15
Closed Access

Prototype space boundary alignment network for bearing continuous fault diagnosis under class-incremental scenarios
Zhenzhong He, Juanjuan Shi, Weiguo Huang, et al.
IEEE Sensors Journal (2024) Vol. 25, Iss. 1, pp. 1076-1085
Closed Access

Fault Diagnosis of Rolling Bearing Using Convolutional Denoising Autoencoder and Siamese Neural Network With Small Sample
Xufeng Zhao, Ying Chen, Mengshu Yang, et al.
IEEE Internet of Things Journal (2024) Vol. 12, Iss. 5, pp. 5233-5244
Closed Access

Calibrated Adaptive Teacher for Domain-Adaptive Intelligent Fault Diagnosis
Florent Forest, Olga Fink
Sensors (2024) Vol. 24, Iss. 23, pp. 7539-7539
Open Access

Adversarial domain adaptation based on contrastive learning for bearings fault diagnosis
Xiaolei Pan, Hongxiao Chen, Wei Wang, et al.
Simulation Modelling Practice and Theory (2024), pp. 103058-103058
Closed Access

Leakage diagnosis of district heating-network based on system simulation and PCA_BP neural network
Chen Liu, Shoujun Zhou, Yaling Zhang, et al.
Process Safety and Environmental Protection (2023) Vol. 180, pp. 260-273
Closed Access | Times Cited: 1

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