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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:

A novel data-driven method based on sample reliability assessment and improved CNN for machinery fault diagnosis with non-ideal data
Xin Zhang, Haifeng Wang, Bo Wu, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 5, pp. 2449-2462
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Graph features dynamic fusion learning driven by multi-head attention for large rotating machinery fault diagnosis with multi-sensor data
Xin Zhang, Xi Zhang, Jie Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106601-106601
Closed Access | Times Cited: 45
Data-driven and Knowledge-based predictive maintenance method for industrial robots for the production stability of intelligent manufacturing
Xiaoqiao Wang, Mingzhou Liu, Conghu Liu, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121136-121136
Closed Access | Times Cited: 44
A pruned-optimized weighted graph convolutional network for axial flow pump fault diagnosis with hydrophone signals
Xin Zhang, Li Jiang, Lei Wang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102365-102365
Closed Access | Times Cited: 18
Fault diagnosis and self-healing for smart manufacturing: a review
Joma Aldrini, Inès Chihi, Lilia Sidhom
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2441-2473
Open Access | Times Cited: 23
A novel self-supervised representation learning framework based on time-frequency alignment and interaction for mechanical fault diagnosis
Daxing Fu, Jie Liu, Hao Zhong, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111846-111846
Closed Access | Times Cited: 11
MNHP-GAE: A Novel Manipulator Intelligent Health State Diagnosis Method in Highly Imbalanced Scenarios
Bo Zhao, Qiqiang Wu, Ke Zhao, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 24073-24082
Closed Access | Times Cited: 9
Systematic review of class imbalance problems in manufacturing
Andrea de Giorgio, Gabriele Cola, Lihui Wang
Journal of Manufacturing Systems (2023) Vol. 71, pp. 620-644
Closed Access | Times Cited: 16
Semi-supervised few-shot fault diagnosis driven by multi-head dynamic graph attention network under speed fluctuations
Li Jiang, Shuaiyu Wang, Tianao Zhang, et al.
Digital Signal Processing (2024) Vol. 151, pp. 104528-104528
Closed Access | Times Cited: 6
Spatial-temporal graph feature learning driven by time–frequency similarity assessment for robust fault diagnosis of rotating machinery
Lei Wang, Fuchen Xie, Xin Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102711-102711
Closed Access | Times Cited: 6
A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data
Chenze Wang, Han Wang, Min Liu
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 4, pp. 1707-1719
Closed Access | Times Cited: 15
A Deep Convolution Multi-Adversarial adaptation network with Correlation Alignment for fault diagnosis of rotating machinery under different working conditions
Li Jiang, Lei Wei, Shuaiyu Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107179-107179
Closed Access | Times Cited: 14
Developing a virtual reality healthcare product based on data-driven concepts: A case study
Jing Qu, Yinuo Zhang, Weizhong Tang, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102118-102118
Closed Access | Times Cited: 13
Industrial data-driven modeling for imbalanced fault diagnosis
Kuo‐Yi Lin, Thitipong Jamrus
Industrial Management & Data Systems (2024) Vol. 124, Iss. 11, pp. 3108-3137
Closed Access | Times Cited: 5
A multi-scale deep feature memory and recovery network for multi-sensor fault diagnosis in the channel missing scenario
Tianao Zhang, Li Jiang, Jie Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110228-110228
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
Intelligent Fault Diagnosis of Domain Adversarial Bearings for Fusion Attention Mechanisms Under Varying Working Conditions
Jiajun Pan, Ke Zhang, Bin Jiang, et al.
Lecture notes in electrical engineering (2025), pp. 86-95
Closed Access
High-Speed Bearing Health Monitoring Method Based on Attention Mechanism Optimized Siamese Deep Residual Network
Jian Duan, Hu Cheng, Hongdi Zhou, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 23191-23200
Closed Access | Times Cited: 12
Improved signal processing for bearing fault diagnosis in noisy environments using signal denoising, time–frequency transform, and deep learning
H. Hamdaoui, Looh Augustine Ngiejungbwen, Jinan Gu, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 11
Closed Access | Times Cited: 11
Fault Diagnosis in Hydroelectric Units in Small-Sample State Based on Wasserstein Generative Adversarial Network
Wenhao Sun, Yidong Zou, Yunhe Wang, et al.
Water (2024) Vol. 16, Iss. 3, pp. 454-454
Open Access | Times Cited: 3
Stochastic Embedding Domain Generalization Network for Rotating Machinery Fault Diagnosis under Unseen Operating Conditions
Zuqiang Su, Weilong Jiang, Zhue Xiong, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 11, pp. 17846-17855
Closed Access | Times Cited: 3
Unknown-class recognition adversarial network for open set domain adaptation fault diagnosis of rotating machinery
Ke Wu, Wei Xu, Qiming Shu, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 3
An Adaptive Early Stopping Technique for DenseNet169-Based Knee Osteoarthritis Detection Model
Bander Ali Saleh Al‐rimy, Faisal Saeed, Mohammed Al-Sarem, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1903-1903
Open Access | Times Cited: 8
Damage identification for mining wire rope based on continuous wavelet transform and convolutional neural network
Jie Tian, Chun Zhao, Hongyao Wang
Nondestructive Testing And Evaluation (2024), pp. 1-23
Closed Access | Times Cited: 2
Creep–fatigue life prediction of a titanium alloy deep-sea submersible using a continuum damage mechanics-informed BP neural network model
Yuhao Guo, Shichao Wang, Gang Liu
Ocean Engineering (2024) Vol. 311, pp. 118826-118826
Closed Access | Times Cited: 2
Dual prototypical contrastive network: a novel self-supervised method for cross-domain few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Rui Wang, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 6
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