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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:

Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery
Yadong Xu, Xiaoan Yan, Ke Feng, et al.
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108714-108714
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery
Yadong Xu, Ke Feng, Xiaoan Yan, et al.
Information Fusion (2023) Vol. 95, pp. 1-16
Closed Access | Times Cited: 98
Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit
Qing Ni, Jinchen Ji, Ke Feng, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109753-109753
Closed Access | Times Cited: 85
A novel digital twin-driven approach based on physical-virtual data fusion for gearbox fault diagnosis
Jingyan Xia, Ruyi Huang, Zhuyun Chen, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109542-109542
Closed Access | Times Cited: 50
Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis
Xingxing Jiang, Xuegang Li, Qian Wang, et al.
Information Fusion (2023) Vol. 101, pp. 102005-102005
Closed Access | Times Cited: 50
Prior knowledge-embedded meta-transfer learning for few-shot fault diagnosis under variable operating conditions
Zihao Lei, Ping Zhang, Yuejian Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110491-110491
Closed Access | Times Cited: 47
Dynamic normalization supervised contrastive network with multiscale compound attention mechanism for gearbox imbalanced fault diagnosis
Yutong Dong, Hongkai Jiang, Wenxin Jiang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108098-108098
Closed Access | Times Cited: 32
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
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditions
Zhilin Dong, Yonghua Jiang, Weidong Jiao, et al.
Advanced Engineering Informatics (2025), pp. 103004-103004
Closed Access | Times Cited: 4
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 hybrid intelligent rolling bearing fault diagnosis method combining WKN-BiLSTM and attention mechanism
Jiang Wang, Junyu Guo, Lin Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 8, pp. 085106-085106
Closed Access | Times Cited: 29
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
Rolling bearing intelligent fault diagnosis towards variable speed and imbalanced samples using multiscale dynamic supervised contrast learning
Yutong Dong, Hongkai Jiang, Renhe Yao, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109805-109805
Closed Access | Times Cited: 28
A novel method for fault diagnosis of fluid end of drilling pump under complex working conditions
Gang Li, Jiayao Hu, Yaping Ding, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110145-110145
Closed Access | Times Cited: 10
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
Semi-supervised small sample fault diagnosis under a wide range of speed variation conditions based on uncertainty analysis
Dawei Gao, Kai Huang, Yongsheng Zhu, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109746-109746
Closed Access | Times Cited: 19
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
Single domain generalization method based on anti-causal learning for rotating machinery fault diagnosis
Guowei Zhang, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110252-110252
Closed Access | Times Cited: 5
MC-WDWCNN: an interpretable multi-channel wide-kernel wavelet convolutional neural network for strong noise-robust fault diagnosis
Jianyu Zhou, Xiangfeng Zhang, Hong Jiang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096125-096125
Closed Access | Times Cited: 5
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
Deep feature interactive network for machinery fault diagnosis using multi-source heterogeneous data
Mengqi Miao, Jianbo Yu
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109795-109795
Closed Access | Times Cited: 14
Domain reinforcement feature adaptation methodology with correlation alignment for compound fault diagnosis of rolling bearing
Zisheng Wang, Jianping Xuan, Tielin Shi
Expert Systems with Applications (2024), pp. 125594-125594
Closed Access | Times Cited: 4
Acoustic fault diagnosis of three-phase induction motors using smartphone and deep learning
Adam Głowacz, Maciej Sułowicz, Jason S. Zielonka, et al.
Expert Systems with Applications (2024) Vol. 262, pp. 125633-125633
Closed Access | Times Cited: 4
MCBA-MVACGAN: A Novel Fault Diagnosis Method for Rotating Machinery Under Small Sample Conditions
Wenhan Huang, Xiangfeng Zhang, Hong Jiang, et al.
Machines (2025) Vol. 13, Iss. 1, pp. 71-71
Open Access
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