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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:

Global contextual multiscale fusion networks for machine health state identification under noisy and imbalanced conditions
Yadong Xu, Xiaoan Yan, Ke Feng, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108972-108972
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Dconformer: A denoising convolutional transformer with joint learning strategy for intelligent diagnosis of bearing faults
Sheng Li, Jinchen Ji, Yadong Xu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111142-111142
Closed Access | Times Cited: 30
Dynamic weighted adversarial domain adaptation network with sparse representation denoising module for rotating machinery fault diagnosis
Maogui Niu, Hongkai Jiang, Haidong Shao
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109963-109963
Closed Access | Times Cited: 2
IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions
Sheng Li, Jinchen Ji, Yadong Xu, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109387-109387
Open Access | Times Cited: 33
Intelligent fault diagnosis of rolling bearings with low-quality data: A feature significance and diversity learning method
Jiayu Chen, Cuiyin Lin, Boqing Yao, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109343-109343
Closed Access | Times Cited: 32
A graph-guided collaborative convolutional neural network for fault diagnosis of electromechanical systems
Yadong Xu, Jinchen Ji, Qing Ni, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110609-110609
Closed Access | Times Cited: 28
An interpretable multiscale lifting wavelet contrast network for planetary gearbox fault diagnosis with small samples
Yutong Dong, Hongkai Jiang, Xin Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110404-110404
Closed Access | Times Cited: 13
Multiattention-Based Feature Aggregation Convolutional Networks With Dual Focal Loss for Fault Diagnosis of Rotating Machinery Under Data Imbalance Conditions
Yadong Xu, Sheng Li, Xiaoan Yan, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 8
Digital twin-driven discriminative graph learning networks for cross-domain bearing fault recognition
Yadong Xu, Qiubo Jiang, Sheng Li, et al.
Computers & Industrial Engineering (2024) Vol. 193, pp. 110292-110292
Closed Access | Times Cited: 7
Digital twin-driven focal modulation-based convolutional network for intelligent fault diagnosis
Sheng Li, Qiubo Jiang, Yadong Xu, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109590-109590
Closed Access | Times Cited: 17
Online Knowledge Distillation-Based Multiscale Threshold Denoising Networks for Fault Diagnosis of Transmission Systems
Yadong Xu, Xiaoan Yan, Beibei Sun, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 2, pp. 4421-4431
Closed Access | Times Cited: 16
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
Variational autoencoder based on knowledge sharing and correlation weighting for process-quality concurrent fault detection
Ziyuan Wang, Chengzhu Wang, Yonggang Li
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108051-108051
Closed Access | Times Cited: 4
A New Deep Learning Framework for Imbalance Detection of a Rotating Shaft
Muhammad Wisal, Ki‐Yong Oh
Sensors (2023) Vol. 23, Iss. 16, pp. 7141-7141
Open Access | Times Cited: 10
Deep Classification with Linearity-Enhanced Logits to Softmax Function
Hao Shao, Shunfang Wang
Entropy (2023) Vol. 25, Iss. 5, pp. 727-727
Open Access | Times Cited: 10
Intelligent Fault Diagnosis Method of Rolling Bearings Based on Transfer Residual Swin Transformer with Shifted Windows
Haomiao Wang, Jinxi Wang, Qingmei Sui, et al.
Structural durability & health monitoring (2024) Vol. 18, Iss. 2, pp. 91-110
Open Access | Times Cited: 2
A Multi-scale Convolutional Autoencoder with Attention Mechanism for Fault Diagnosis of Rotating Machinery
Zihao Lei, Hongguang Yun, Feiyu Tian, et al.
Springer eBooks (2024), pp. 601-617
Closed Access | Times Cited: 1
Shuffle-fusion pyramid network for bearing fault diagnosis under noisy environments
Cheng Zhao, Linfeng Deng, Yuanwen Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116133-116133
Closed Access | Times Cited: 1
Imbalanced Learning for Gearbox Fault Detection via Attention-based Multireceptive Field Convolutional Neural Networks with An Adaptive Label Regulation Loss
Yadong Xu, Rui Shu, Sheng Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
Enhancing industrial prognostic accuracy in noisy and missing data context: assessing multimodal learning performance
Sagar Jose, Khanh T.P. Nguyen, Kamal Medjaher
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
A multi-scale collaborative fusion residual neural network-based approach for bearing fault diagnosis
Chen Qian, Jun Gao, Xing Shao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046204-046204
Open Access
Partial transfer learning method based on MDWCAN for rolling bearing fault diagnosis under noisy conditions
H Wang, Yibin Li, Mingshun Jiang, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) Vol. 238, Iss. 16, pp. 8561-8575
Closed Access
Fault diagnosis based on feature enhancement multiscale network under nonstationary conditions
Yao Liu, Haoyuan Dong, Wei Ma
Aerospace Systems (2024)
Closed Access
Intelligent fault diagnosis of hoisting systems under complex working conditions using deep graph convolutional generative adversarial networks with limited data
Yang Li, Xiangyin Meng, Feiyun Xu, et al.
Structural Health Monitoring (2024)
Closed Access
Deep learning-based fault diagnosis of planetary gearbox: A systematic review
Hassaan Ahmad, Wei Cheng, Ji Xing, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 730-745
Closed Access
A supervised contrastive learning method with novel data augmentation for transient stability assessment considering sample imbalance
Yaodi Huang, Yunpeng Song, Zhongmin Cai
Reliability Engineering & System Safety (2024), pp. 110716-110716
Closed Access
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