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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:

An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis
Guoqian Jiang, Jing Wang, Lijin Wang, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 18-30
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

A trackable multi-domain collaborative generative adversarial network for rotating machinery fault diagnosis
Xin Wang, Hongkai Jiang, Mingzhe Mu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 111950-111950
Closed Access | Times Cited: 35
Interpretable physics-informed domain adaptation paradigm for cross-machine transfer diagnosis
Chao He, Hongmei Shi, Xiaorong Liu, et al.
Knowledge-Based Systems (2024) Vol. 288, pp. 111499-111499
Closed Access | Times Cited: 20
Attention on the key modes: Machinery fault diagnosis transformers through variational mode decomposition
Hebin Liu, Qizhi Xu, Xiaolin Han, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111479-111479
Closed Access | Times Cited: 16
A performance-interpretable intelligent fusion of sound and vibration signals for bearing fault diagnosis via dynamic CAME
You Keshun, Lian Zengwei, Yingkui Gu
Nonlinear Dynamics (2024) Vol. 112, Iss. 23, pp. 20903-20940
Closed Access | Times Cited: 9
Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery
Gang Chen, Junlin Yuan, Yiyue Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 103348-103379
Open Access | Times Cited: 4
The exponential function coefficient characteristic of the fault voltage forward traveling wave and protection method for microgrid
Jianwen Zhao, Ya-Ting Du, Yaxin Luo, et al.
Engineering Research Express (2025) Vol. 7, Iss. 1, pp. 015315-015315
Closed Access
AHWCN: An interpretable attention-guided hierarchical wavelet convolutional network for rotating machinery intelligent fault diagnosis
Tao Zeng, Hongkai Jiang, Yunpeng Liu, et al.
Expert Systems with Applications (2025) Vol. 272, pp. 126815-126815
Closed Access
Self-supervised graph feature enhancement and scale attention for mechanical signal node-level representation and diagnosis
Xin Zhang, Jie Liu, Xi Zhang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103197-103197
Closed Access
LWMS-Net: A novel defect detection network based on multi-wavelet multi-scale for steel surface defects
Xiaoyang Zheng, Weishuo Liu, Yan Huang
Measurement (2025), pp. 117393-117393
Closed Access
Extrapolating from one: A pseudo multi-view fusion approach for enhanced out-of-distribution detection in fault diagnosis
Hairui Fang, Haoze Li, Liu Han, et al.
Mechanical Systems and Signal Processing (2025) Vol. 231, pp. 112661-112661
Closed Access
Wavelet-driven differentiable architecture search for planetary gear fault diagnosis
Yanghu Wang, Zheng Zhou, Laihao Yang, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 587-593
Closed Access | Times Cited: 4
Real-time structural health monitoring of bridges using convolutional neural network-based loss factor analysis for enhanced energy dissipation detection
Thanh Q. Nguyen, Tu B. Vu, Niusha Shafiabady, et al.
Structures (2024) Vol. 70, pp. 107733-107733
Closed Access | Times Cited: 3
Manipulator joint fault localization for intelligent flexible manufacturing based on reinforcement learning and robot dynamics
Shijie Wang, Jianfeng Tao, Qincheng Jiang, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 86, pp. 102684-102684
Closed Access | Times Cited: 8
A lightweight dynamic dual-damped wavelet-based convolutional neural network for interpretable bearing fault diagnosis
Lijuan Zhao, Yongfang Mao, Yi Qin
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086115-086115
Open Access | Times Cited: 2
A novel interpretable semi-supervised graph learning model for intelligent fault diagnosis of hydraulic pumps
Ying Li, Lijie Zhang, Siyuan Liu, et al.
Knowledge-Based Systems (2024) Vol. 305, pp. 112598-112598
Closed Access | Times Cited: 2
Multi-Sensor Temporal-Spatial Graph Network Fusion Empirical Mode Decomposition Convolution for Machine Fault Diagnosis
Kuangchi Sun, Aijun Yin
Information Fusion (2024), pp. 102708-102708
Closed Access | Times Cited: 1
A Novel Impulse Information-Enhanced Semi-Supervised Learning for Few-Label Fault Diagnosis of Rotary Machines
Jing Wang, Guoqian Jiang, Lijin Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 22, pp. 27658-27669
Closed Access | Times Cited: 4
Trustworthy AI for human-centric smart manufacturing: A survey
Dongpeng Li, Shimin Liu, Baicun Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 78, pp. 308-327
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
WBUN: An interpretable convolutional neural network with wavelet basis unit embedded for fault diagnosis
Sen Gao, Zhijin Zhang, Xin Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086125-086125
Open Access
A digital twin framework for anomaly detection in industrial robot system based on multiple physics-informed hybrid convolutional autoencoder
Shijie Wang, Jianfeng Tao, Qincheng Jiang, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 798-809
Closed Access
Multi-view feature encoding model with wavelet transform embedded for intelligent machine fault diagnosis
Jiayi Cheng, Jing Wang, Chengzhi Hou, et al.
(2024), pp. 118-118
Closed Access
Beyond deep features: Fast random wavelet kernel convolution for weak-fault feature extraction of rotating machinery
Yong Feng, Chaoxin Zheng, Jinglong Chen, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112057-112057
Closed Access
Bearing fault diagnosis based on wavelet adaptive threshold filtering and multi-channel fusion cross-attention neural network
Yunji Zhao, Sicheng Wei, Xiaozhuo Xu
Review of Scientific Instruments (2024) Vol. 95, Iss. 11
Closed Access
Research on Ship Electrical Fault Diagnosis Technology Based on Wavelet Neural Network
Xufeng Shen, Hui Zhu, Lizhi Li, et al.
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) (2024), pp. 1569-1572
Closed Access
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