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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:

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: 44

Showing 1-25 of 44 citing articles:

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 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
A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis
Yue Yu, Youqian He, Hamid Reza Karimi, et al.
Neural Networks (2024) Vol. 179, pp. 106518-106518
Open Access | Times Cited: 18
A fusion TFDAN-Based framework for rotating machinery fault diagnosis under noisy labels
Xiaoming Yuan, Zhikang Zhang, Pengfei Liang, et al.
Applied Acoustics (2024) Vol. 219, pp. 109940-109940
Closed Access | Times Cited: 17
AGFCN:A bearing fault diagnosis method for high-speed train bogie under complex working conditions
Deqiang He, Jinxin Wu, Zhenzhen Jin, et al.
Reliability Engineering & System Safety (2025), pp. 110907-110907
Closed Access | Times Cited: 1
Graph structure few-shot prognostics for machinery remaining useful life prediction under variable operating conditions
Peng Ding, Jun Xia, Xiaoli Zhao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102360-102360
Closed Access | Times Cited: 13
A digital twin-driven approach for partial domain fault diagnosis of rotating machinery
Jingyan Xia, Zhuyun Chen, Jiaxian Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107848-107848
Closed Access | Times Cited: 11
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: 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
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 multi-level digital twin construction method of assembly line based on hybrid worker digital twin models
Xi Zhang, Ye Yang, Xin Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102597-102597
Closed Access | Times Cited: 5
Time-frequency synchronisation contrastive learning-driven multi-sensor remaining useful life prediction
Li Jiang, Miaojun Wang, Peng-Sheng You, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-28
Closed Access
A Transformer-based Multi-Platform Sequential Estimation Fusion
Xiaowen Zhai, Yanbo Yang, Zhunga Liu
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110069-110069
Closed Access
Feature data set creation method for loose particle localization based on multi-channel characteristic encoding
Zhigang Sun, Guofu Zhai, Guotao Wang, et al.
Expert Systems with Applications (2025), pp. 127204-127204
Closed Access
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
Fourier Feature Refiner Network With Soft Thresholding for Machinery Fault Diagnosis Under Highly Noisy Conditions
Huan Wang, Wenjun Luo, Zhiliang Liu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22880-22891
Closed Access | Times Cited: 4
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: 4
DyGAT-FTNet: A Dynamic Graph Attention Network for Multi-Sensor Fault Diagnosis and Time–Frequency Data Fusion
Hongjun Duan, Guorong Chen, Yuan Yu, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 810-810
Open Access
Deep Neural Network for Valve Fault Diagnosis Integrating Multivariate Time-Series Sensor Data
Eui-Young Jeong, Jung-Hwan Yang, Soo‐Chul Lim
Actuators (2025) Vol. 14, Iss. 2, pp. 70-70
Open Access
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
Insulator Defect Detection Algorithm Based on Improved YOLOv11n
Junmei Zhao, Shanshan Miao, Rui Kang, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1327-1327
Open Access
Intelligent real-time status identification for anti-roll tank via solid-liquid triboelectric nanogenerators
Xingang Xu, Hao Wu, Zhongjie Li, et al.
Ocean Engineering (2025) Vol. 327, pp. 120987-120987
Closed Access
Autonomous selection of the fault classification models for diagnosing microservice applications
Yujia Song, Ruyue Xin, Peng Chen, et al.
Future Generation Computer Systems (2023) Vol. 153, pp. 326-339
Closed Access | Times Cited: 11
Adaptive Fusion Transfer Learning-based Digital Multitwin-assised Intelligent Fault Diagnosis
Sizhe Liu, Yongsheng Qi, Liqiang Liu, et al.
Knowledge-Based Systems (2024) Vol. 297, pp. 111923-111923
Closed Access | Times Cited: 3
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