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:

Deep multi-scale separable convolutional network with triple attention mechanism: A novel multi-task domain adaptation method for intelligent fault diagnosis
Bo Zhao, Xianmin Zhang, Zhenhui Zhan, et al.
Expert Systems with Applications (2021) Vol. 182, pp. 115087-115087
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application
Haixin Lv, Jinglong Chen, Tongyang Pan, et al.
Measurement (2022) Vol. 199, pp. 111594-111594
Closed Access | Times Cited: 148
LiConvFormer: A lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention
Shen Yan, Haidong Shao, Jie Wang, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121338-121338
Open Access | Times Cited: 95
An unsupervised domain adaptation approach with enhanced transferability and discriminability for bearing fault diagnosis under few-shot samples
Wengang Ma, Yadong Zhang, Liang Ma, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120084-120084
Closed Access | Times Cited: 44
A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
Mehdi Saman Azari, Francesco Flammini, Stefania Santini, et al.
IEEE Access (2023) Vol. 11, pp. 12887-12910
Open Access | Times Cited: 42
Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditions
Zhilin Dong, Yonghua Jiang, Weidong Jiao, et al.
Advanced Engineering Informatics (2025), pp. 103004-103004
Closed Access | Times Cited: 4
End to end multi-task learning with attention for multi-objective fault diagnosis under small sample
Zongliang Xie, Jinglong Chen, Yong Feng, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 301-316
Closed Access | Times Cited: 81
An intelligent fault diagnosis for machine maintenance using weighted soft-voting rule based multi-attention module with multi-scale information fusion
Zifei Xu, Musa Bashir, Wanfu Zhang, et al.
Information Fusion (2022) Vol. 86-87, pp. 17-29
Open Access | Times Cited: 48
Triplet attention-enhanced residual tree-inspired decision network: A hierarchical fault diagnosis model for unbalanced bearing datasets
Lingli Cui, Zhilin Dong, Hai Xu, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102322-102322
Closed Access | Times Cited: 32
A novel unsupervised directed hierarchical graph network with clustering representation for intelligent fault diagnosis of machines
Bo Zhao, Xianmin Zhang, Qiqiang Wu, et al.
Mechanical Systems and Signal Processing (2022) Vol. 183, pp. 109615-109615
Closed Access | Times Cited: 32
Multi-source partial domain adaptation method based on pseudo-balanced target domain for fault diagnosis
Guowei Zhang, Xianguang Kong, Qibin Wang, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111255-111255
Closed Access | Times Cited: 16
Cross-domain bearing fault diagnosis using dual-path convolutional neural networks and multi-parallel graph convolutional networks
Zhang Yong, Songzhao Zhang, Yuhao Zhu, et al.
ISA Transactions (2024) Vol. 152, pp. 129-142
Closed Access | Times Cited: 6
Multiscale 1-DCNN for Damage Localization and Quantification Using Guided Waves With Novel Data Fusion Technique and New Self-Attention Module
Yunlai Liao, Yihan Wang, Xianping Zeng, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 492-502
Closed Access | Times Cited: 15
Imbalanced data augmentation for pipeline fault diagnosis: A multi-generator switching adversarial network
Rou Shang, Hongli Dong, Chuang Wang, et al.
Control Engineering Practice (2023) Vol. 144, pp. 105839-105839
Closed Access | Times Cited: 15
Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes
Yin Min, Jince Li, Yilin Shi, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121753-121753
Closed Access | Times Cited: 13
Rapid tri-net: breast cancer classification from histology images using rapid tri-attention network
Pallavi Bhanudas Salunkhe, Pravin S. Patil
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 74625-74655
Closed Access | Times Cited: 4
Domain-alignment multitask learning network for partial discharge condition assessment with digital twin in gas-insulated switchgear
Jing Yan, Yanxin Wang, Wenjie Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 065109-065109
Closed Access | Times Cited: 4
Multiscale Graph-Guided Convolutional Network With Node Attention for Intelligent Health State Diagnosis of a 3-PRR Planar Parallel Manipulator
Bo Zhao, Xianmin Zhang, Zhenhui Zhan, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 11, pp. 11733-11743
Closed Access | Times Cited: 29
Improving flight delays prediction by developing attention-based bidirectional LSTM network
Maged Mamdouh, Mostafa Ezzat, Hesham A. Hefny
Expert Systems with Applications (2023) Vol. 238, pp. 121747-121747
Closed Access | Times Cited: 12
Augmentation-based discriminative meta-learning for cross-machine few-shot fault diagnosis
Pengcheng Xia, Yixiang Huang, Yuxiang Wang, et al.
Science China Technological Sciences (2023) Vol. 66, Iss. 6, pp. 1698-1716
Closed Access | Times Cited: 11
Attention-based interpretable prototypical network towards small-sample damage identification using ultrasonic guided waves
Han Zhang, Jing Lin, Jiadong Hua, et al.
Mechanical Systems and Signal Processing (2022) Vol. 188, pp. 109990-109990
Closed Access | Times Cited: 16
An Intelligent Fault Detection Framework for FW-UAV Based on Hybrid Deep Domain Adaptation Networks and the Hampel Filter
Yizong Zhang, Shaobo Li, Qiuchen He, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-19
Open Access | Times Cited: 10
Few-shot fault diagnosis of turnout switch machine based on flexible semi-supervised meta-learning network
Yiling He, Deqiang He, Zhenpeng Lao, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111746-111746
Closed Access | Times Cited: 3
Multi-head de-noising autoencoder-based multi-task model for fault diagnosis of rolling element bearings under various speed conditions
Jongmin Park, Jinoh Yoo, Tae-Hyung Kim, et al.
Journal of Computational Design and Engineering (2023) Vol. 10, Iss. 4, pp. 1804-1820
Open Access | Times Cited: 8
A Novel Semi-Supervised Graph-Guided Approach for Intelligent Health State Diagnosis of a 3-PRR Planar Parallel Manipulator
Bo Zhao, Xianmin Zhang, Zhenhui Zhan, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 6, pp. 4786-4797
Closed Access | Times Cited: 12
Fault diagnosis for ball screws in industrial robots under variable and inaccessible working conditions with non-vibration signals
Qitong Chen, Qi Li, Sijia Wu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102617-102617
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top