Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Time Series Transformer based method for the rotating machinery fault diagnosis
Yuhong Jin, Lei Hou, Yushu Chen
Neurocomputing (2022) Vol. 494, pp. 379-395
Closed Access | Times Cited: 128

Showing 1-25 of 128 citing articles:

Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review
Shaohua Qiu, Xiaopeng Cui, Zuowei Ping, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1305-1305
Open Access | Times Cited: 63
Inter-shaft Bearing Fault Diagnosis Based on Aero-engine System: A Benchmarking Dataset Study
Lei Hou, Haiming Yi, Yuhong Jin, et al.
Journal of Dynamics Monitoring and Diagnostics (2023)
Open Access | Times Cited: 44
Neural-transformer: A brain-inspired lightweight mechanical fault diagnosis method under noise
Changdong Wang, Bowen Tian, Jingli Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110409-110409
Closed Access | Times Cited: 38
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples
Zhenya Wang, Qiusheng Luo, Hui Chen, et al.
Computers in Industry (2024) Vol. 159-160, pp. 104099-104099
Closed Access | Times Cited: 35
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
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
Efficient temporal flow Transformer accompanied with multi-head probsparse self-attention mechanism for remaining useful life prognostics
Yuanhong Chang, Fudong Li, Jinglong Chen, et al.
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108701-108701
Closed Access | Times Cited: 59
ChatGPT-like large-scale foundation models for prognostics and health management: A survey and roadmaps
Yan‐Fu Li, Huan Wang, Muxia Sun
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109850-109850
Open Access | Times Cited: 34
Dynamic modeling and simulation analysis of inter-shaft bearing fault of a dual-rotor system
Cai Wang, Jing Tian, Fengling Zhang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110260-110260
Closed Access | Times Cited: 31
WSAFormer-DFFN: A model for rotating machinery fault diagnosis using 1D window-based multi-head self-attention and deep feature fusion network
Qingzhe Wei, Xincheng Tian, Long Cui, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106633-106633
Closed Access | Times Cited: 30
Gaussian Mixture Variational-Based Transformer Domain Adaptation Fault Diagnosis Method and Its Application in Bearing Fault Diagnosis
Yiyao An, Ke Zhang, Yi Chai, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 615-625
Closed Access | Times Cited: 29
An explainable intelligence fault diagnosis framework for rotating machinery
Daoguang Yang, Hamid Reza Karimi, Len Gelman
Neurocomputing (2023) Vol. 541, pp. 126257-126257
Open Access | Times Cited: 29
Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings
Gang Wang, Dongdong Liu, Lingli Cui
IEEE Transactions on Reliability (2023) Vol. 73, Iss. 2, pp. 1270-1279
Closed Access | Times Cited: 24
Transformer-based meta learning method for bearing fault identification under multiple small sample conditions
Xianze Li, Hao Su, Ling Xiang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 110967-110967
Closed Access | Times Cited: 24
Robust fault diagnosis of quayside container crane gearbox based on 2D image representation in frequency domain and CNN
Jianqun Zhang, Qing Zhang, Xianrong Qin, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 1, pp. 324-342
Closed Access | Times Cited: 23
A regularized constrained two-stream convolution augmented Transformer for aircraft engine remaining useful life prediction
Jiangyan Zhu, Jun Ma, Jiande Wu
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108161-108161
Closed Access | Times Cited: 12
Combination resonances of a dual-rotor-bearing-casing system
Yi Chen, Lei Hou, Rongzhou Lin, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 6, pp. 4063-4083
Closed Access | Times Cited: 11
Attention-based ConvNeXt with a parallel multiscale dilated convolution residual module for fault diagnosis of rotating machinery
Baosu Guo, Zhaohui Qiao, Ning Zhang, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123764-123764
Closed Access | Times Cited: 10
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
Time series diffusion method: A denoising diffusion probabilistic model for vibration signal generation
Haiming Yi, Lei Hou, Yuhong Jin, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111481-111481
Open Access | Times Cited: 10
Using transformer and a reweighting technique to develop a remaining useful life estimation method for turbofan engines
Gyeongho Kim, Jae Gyeong Choi, Sunghoon Lim
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108475-108475
Closed Access | Times Cited: 7
Multi-scale and multi-layer perceptron hybrid method for bearings fault diagnosis
Suchao Xie, Yaxin Li, Hongchuang Tan, et al.
International Journal of Mechanical Sciences (2022) Vol. 235, pp. 107708-107708
Closed Access | Times Cited: 35
Remaining useful life prediction of lithium-ion batteries based on wavelet denoising and transformer neural network
Wangyang Hu, Shaishai Zhao
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 27
A Mask Self-Supervised Learning-Based Transformer for Bearing Fault Diagnosis With Limited Labeled Samples
Jian Cen, Zhuohong Yang, Yinbo Wu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 10, pp. 10359-10369
Closed Access | Times Cited: 19
Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time
Waqar Ahmed Khan, Mahmoud Masoud, Abdelrahman E. E. Eltoukhy, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
Page 1 - Next Page

Scroll to top