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:

Noise-robust machinery fault diagnosis based on self-attention mechanism in wavelet domain
Aosheng Tian, Ye Zhang, Chao Ma, et al.
Measurement (2022) Vol. 207, pp. 112327-112327
Closed Access | Times Cited: 25

Showing 25 citing articles:

Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model
Andressa Borré, Laio Oriel Seman, Eduardo Camponogara, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4512-4512
Open Access | Times Cited: 49

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 comprehensive guide to selecting suitable wavelet decomposition level and functions in discrete wavelet transform for fault detection in distribution networks
Esraa M. Shalby, Almoataz Y. Abdelaziz, Eman S. Ahmed, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1

C-ECAFormer: A new lightweight fault diagnosis framework towards heavy noise and small samples
Jie Wang, Haidong Shao, Shen Yan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107031-107031
Open Access | Times Cited: 31

Rotating machinery fault classification based on one-dimensional residual network with attention mechanism and bidirectional gated recurrent unit
Zhilin Dong, Dezun Zhao, Lingli Cui
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086001-086001
Closed Access | Times Cited: 13

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

Fault diagnosis of motor bearing in complex scenarios based on Mamba and Indicative Contrastive Learning
Xu Jun, Yunji Zhao, Wenming Bao, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110216-110216
Closed Access

Residual Shrinkage ViT with Discriminative Rebalancing Strategy for Small and Imbalanced Fault Diagnosis
Li Zhang, Shixing Gu, Hao Luo, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 890-890
Open Access | Times Cited: 4

A lightweight multi-feature fusion vision transformer bearing fault diagnosis method with strong local sensing ability in complex environments
Sen Li, Xiaoqiang Zhao
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 065104-065104
Closed Access | Times Cited: 4

The BT-SAM-Net: a new framework of end-to-end periodic time-series fault diagnosis for aero-pipelines systems
Tongguang Yang, Zhonghua Dang, Yicheng Duan, et al.
Physica Scripta (2024) Vol. 99, Iss. 7, pp. 076004-076004
Open Access | Times Cited: 3

A Novel Data Augmentation and Composite Multiscale Network for Mechanical Fault Diagnosis
Yuan Wei, Zhijun Xiao, Shulin Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 9

A small sample bearing fault diagnosis method based on novel Zernike moment feature attention convolutional neural network
Yunji Zhao, Xu Jun
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066208-066208
Closed Access | Times Cited: 3

A novel method based on CNN-BiGRU and AM model for bearing fault diagnosis
Ziwei Xu, Yan‐Feng Li, Hong‐Zhong Huang, et al.
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 7, pp. 3361-3369
Closed Access | Times Cited: 3

Prediction of Remaining Useful Life of Railway Tracks based on DMGDCC-GRU Hybrid Model and Transfer Learning
Jianhua Liu, Dongchen Du, Jing He, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 6, pp. 7561-7575
Closed Access | Times Cited: 2

Multiscale Dynamically Parallel Shrinkage Network for Fault Diagnosis of Aviation Hydraulic Pump and Its Generalizable Applications
Song Fu, Lin Lin, Yue Wang, et al.
ISA Transactions (2024) Vol. 154, pp. 57-72
Closed Access | Times Cited: 2

Fault Diagnosis Method of Rolling Bearing Based on CBAM_ResNet and ACON Activation Function
Haihua Qin, Jiafang Pan, Jian Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7593-7593
Open Access | Times Cited: 5

CCFT: The Convolution and Cross-Fusion Transformer for Fault Diagnosis of Bearings
Tantao Lin, Yongsheng Zhu, Zhijun Ren, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 3, pp. 2161-2172
Closed Access | Times Cited: 4

Attention mechanism guided sparse filtering for mechanical intelligent fault diagnosis under variable speed condition
Rui Han, Jinrui Wang, Yanbin Wan, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 4, pp. 042001-042001
Closed Access | Times Cited: 4

A Modeling Framework of Dynamic Risk Monitoring for Chemical Processes Based on Complex Networks
Qianlin Wang, Jiaqi Han, Feng Chen, et al.
IEEE Access (2024) Vol. 12, pp. 14194-14210
Open Access | Times Cited: 1

Slow feature‐constrained decomposition autoencoder: Application to process anomaly detection and localization
Mingwei Jia, Lingwei Jiang, Junhao Hu, et al.
International Journal of Adaptive Control and Signal Processing (2024)
Closed Access | Times Cited: 1

Resformer: An end-to-end framework for fault diagnosis of governor valve actuator in the coupled scenario of data scarcity and high noise
Yang Liu, Zhanpeng Jiang, Ning Zhang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112125-112125
Closed Access | Times Cited: 1

A Muti-stage Selection Filter Based on Wavelet Packet and 2DCNN for Fault Diagnosis of Rotating Machinery
Wenbin He, Jianxu Mao, Li Liu, et al.
(2023), pp. 4951-4955
Closed Access | Times Cited: 2

Multi-granularity short circuit fault diagnosis for tokamak power converters under small sample conditions and noise interference
Heng Zhang, Lingpeng Zhong, Hua Li, et al.
Fusion Engineering and Design (2024) Vol. 203, pp. 114475-114475
Closed Access

Busbar fault diagnosis method based on multi-source information fusion
Xuebao Jiang, Haiou Cao, Chenbin Zhou, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access

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