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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:

Adaptive multi-scale attention convolution neural network for cross-domain fault diagnosis
Xiaorui Shao, Chang Soo Kim
Expert Systems with Applications (2023) Vol. 236, pp. 121216-121216
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization
Bin Yang, Yaguo Lei, Xiang Li, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122997-122997
Closed Access | Times Cited: 53
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Shengnan Tang, Jingtao Ma, Zhengqi Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108678-108678
Closed Access | Times Cited: 30
A new adaptive multi-scale attention adversarial network for cross-domain fault diagnosis
Lingtan Kong, Jinrui Wang, Dawei Wang, et al.
Knowledge-Based Systems (2025), pp. 113066-113066
Closed Access | Times Cited: 1
Attention-based ConvNeXt with a parallel multiscale dilated convolution residual module for fault diagnosis of rotating machinery
Baosu Guo, Zhaohui Qiao, Ning Zhang, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123764-123764
Closed Access | Times Cited: 10
A roadmap to fault diagnosis of industrial machines via machine learning: A brief review
Govind Vashishtha, Sumika Chauhan, Mert Sehri, et al.
Measurement (2024) Vol. 242, pp. 116216-116216
Closed Access | Times Cited: 9
DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications
Song Fu, Limin Zou, Yue Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110246-110246
Closed Access | Times Cited: 5
A robust bearing fault diagnosis method based on ensemble learning with adaptive weight selection
Guanghua Fu, X.Z. Wang, Yonghui Liu, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126420-126420
Closed Access
Multi-sensor bearing fault diagnosis based on evidential neural network with sensor weights and reliability
Peng Han, Zhiqiu Huang, Weiwei Li, et al.
Expert Systems with Applications (2025), pp. 126533-126533
Closed Access
A survey on machine learning approaches for uncertainty quantification of engineering systems
Yan Shi, Pengfei Wei, Ke Feng, et al.
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Open Access
Dual-stage soft sensor-based fault reconstruction and effluent prediction toward a sustainable wastewater treatment plant using attention fusion deep learning model
Abdulrahman H. Ba-Alawi, Jiyong Kim
Journal of environmental chemical engineering (2025), pp. 116221-116221
Closed Access
A dynamic weighted joint distribution domain adaptation network for cross-machine fault diagnosis of rolling bearings
Qi Chang, Congcong Fang, Longqing Fan, et al.
Structural Health Monitoring (2025)
Closed Access
An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment
Ming Xie, Jianxin Liu, Yifan Li, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access
An efficient transfer fault diagnosis method integrating feature redundancy selection and multi-strategy parameter optimization
Wenchao Jia, Aijun An, Bin Gong, et al.
Expert Systems with Applications (2025), pp. 127267-127267
Closed Access
Bearing Lifespan Reliability Prediction Method Based on Multiscale Feature Extraction and Dual Attention Mechanism
Xudong Luo, Minghui Wang
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3662-3662
Open Access
Differgram: A convex optimization-based method for extracting optimal frequency band for fault diagnosis of rotating machinery
Jianchun Guo, Yi Liu, Ronggang Yang, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123051-123051
Closed Access | Times Cited: 10
DSMT-1DCNN: Densely supervised multitask 1DCNN for fault diagnosis
Xiaorui Shao, De Li, Ilkyeun Ra, et al.
Knowledge-Based Systems (2024) Vol. 292, pp. 111609-111609
Closed Access | Times Cited: 3
DDAGCN: an unsupervised cross-domain identification method for tie rod bolt loosening in a rod-fastening rotor system under different working conditions
Chen Zhou, Jun He, Shixi Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076202-076202
Closed Access | Times Cited: 3
Deep learning-based vehicular engine health monitoring system utilising a hybrid convolutional neural network/bidirectional gated recurrent unit
Md. Abdur Rahim, M.M. Rahman, Md Shofiqul Islam, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125080-125080
Closed Access | Times Cited: 2
A weighted sparse classification method based on period analysis dictionary
Huaqing Wang, Zhang Hong-jie, Baoguo Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046123-046123
Closed Access | Times Cited: 1
Adaptive multi-scale graph fusion for fault diagnosis in concurrent variable conditions and unlabeled data
Z. Zhou, Wen‐Hua Chen
Journal of Vibration and Control (2024)
Closed Access | Times Cited: 1
Domain expansion fusion single-domain generalization framework for mechanical fault diagnosis under unknown working conditions
Xuegang Li, Jian Tang, Yuanyue Pu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109380-109380
Closed Access | Times Cited: 1
Deep hierarchical sorting networks for fault diagnosis of aero-engines
Jin‐Lei Wu, Lin Lin, Dan Liu, et al.
Computers in Industry (2024) Vol. 165, pp. 104229-104229
Closed Access | Times Cited: 1
Multi-scale quaternion CNN and BiGRU with cross self-attention feature fusion for fault diagnosis of bearing
Huanbai Liu, Fanlong Zhang, Yin Tan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086138-086138
Open Access
Domain Expansion Fusion Single-Domain Generalization Framework for Mechanical Fault Diagnosis Under Unknown Working Conditions
Xuegang Li, Jian Tang, Yuanyue Pu, et al.
(2024)
Closed Access
Parallel quantized dual-level fully connected classifier for bearing fault diagnosis
Linfei Yin, Zixuan Wang
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109052-109052
Closed Access
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