
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:
Imbalanced fault diagnosis of rolling bearing using improved MsR-GAN and feature enhancement-driven CapsNet
Jie Liu, Changhe Zhang, Xingxing Jiang
Mechanical Systems and Signal Processing (2021) Vol. 168, pp. 108664-108664
Closed Access | Times Cited: 125
Jie Liu, Changhe Zhang, Xingxing Jiang
Mechanical Systems and Signal Processing (2021) Vol. 168, pp. 108664-108664
Closed Access | Times Cited: 125
Showing 26-50 of 125 citing articles:
Corrosion leakage risk diagnosis of oil and gas pipelines based on semi-supervised domain generalization model
Xingyuan Miao, Hong Zhao, Boxuan Gao, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109486-109486
Closed Access | Times Cited: 20
Xingyuan Miao, Hong Zhao, Boxuan Gao, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109486-109486
Closed Access | Times Cited: 20
A Generalized Graph Contrastive Learning Framework for Few-Shot Machine Fault Diagnosis
Chaoying Yang, Jie Liu, Qi Xu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 2692-2701
Closed Access | Times Cited: 17
Chaoying Yang, Jie Liu, Qi Xu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 2692-2701
Closed Access | Times Cited: 17
SKND-TSACNN: A novel time-scale adaptive CNN framework for fault diagnosis of rotating machinery
Zidong Yu, Changhe Zhang, Jie Liu, et al.
Knowledge-Based Systems (2023) Vol. 275, pp. 110682-110682
Closed Access | Times Cited: 16
Zidong Yu, Changhe Zhang, Jie Liu, et al.
Knowledge-Based Systems (2023) Vol. 275, pp. 110682-110682
Closed Access | Times Cited: 16
Application of Time-Frequency Analysis in Rotating Machinery Fault Diagnosis
Yihao Bai, Weidong Cheng, Weigang Wen, et al.
Shock and Vibration (2023) Vol. 2023, pp. 1-16
Open Access | Times Cited: 16
Yihao Bai, Weidong Cheng, Weigang Wen, et al.
Shock and Vibration (2023) Vol. 2023, pp. 1-16
Open Access | Times Cited: 16
A review: the application of generative adversarial network for mechanical fault diagnosis
Weiqing Liao, Ke Yang, Wenlong Fu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 062002-062002
Closed Access | Times Cited: 7
Weiqing Liao, Ke Yang, Wenlong Fu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 062002-062002
Closed Access | Times Cited: 7
Long-term temporal attention neural network with adaptive stage division for remaining useful life prediction of rolling bearings
Pengjie Gao, Junliang Wang, Zi‐Qi Shi, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110218-110218
Closed Access | Times Cited: 6
Pengjie Gao, Junliang Wang, Zi‐Qi Shi, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110218-110218
Closed Access | Times Cited: 6
A multi-domain adversarial transfer network for cross domain fault diagnosis under imbalanced data
Guofa Li, Shaoyang Liu, Jialong He, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108948-108948
Closed Access | Times Cited: 5
Guofa Li, Shaoyang Liu, Jialong He, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108948-108948
Closed Access | Times Cited: 5
A novel meta-learning network with adversarial domain-adaptation and attention mechanism for cross-domain for train bearing fault diagnosis
Hao Zhong, Deqiang He, Zexian Wei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125109-125109
Closed Access | Times Cited: 5
Hao Zhong, Deqiang He, Zexian Wei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125109-125109
Closed Access | Times Cited: 5
Mdrs-Gan: A Multi-Scale Dense Residual Shrinkage Generative Adversarial Network for Rotating Machinery Fault Diagnosis Under Limited Data
Tongqiang Yi, Jiang Guo, Fang Yuan, et al.
(2025)
Closed Access
Tongqiang Yi, Jiang Guo, Fang Yuan, et al.
(2025)
Closed Access
A Novel Bayesian-Optimization-Based Adversarial TCN for RUL Prediction of Bearings
Qian Chen, Yi-Ben Liu, Ming‐Feng Ge, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 21, pp. 20968-20977
Closed Access | Times Cited: 24
Qian Chen, Yi-Ben Liu, Ming‐Feng Ge, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 21, pp. 20968-20977
Closed Access | Times Cited: 24
Leakage detection in natural gas pipeline based on unsupervised learning and stress perception
Xingyuan Miao, Hong Zhao, Zhaoyuan Xiang
Process Safety and Environmental Protection (2022) Vol. 170, pp. 76-88
Closed Access | Times Cited: 23
Xingyuan Miao, Hong Zhao, Zhaoyuan Xiang
Process Safety and Environmental Protection (2022) Vol. 170, pp. 76-88
Closed Access | Times Cited: 23
Untrained Compound Fault Diagnosis for Planetary Gearbox Based on Adaptive Learning VMD and DSSECNN
Xiaojia Kong, Liang Meng, Yuanhao Su, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 11, pp. 11838-11854
Closed Access | Times Cited: 15
Xiaojia Kong, Liang Meng, Yuanhao Su, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 11, pp. 11838-11854
Closed Access | Times Cited: 15
MSRCN: A cross-machine diagnosis method for the CNC spindle motors with compound faults
Yiming He, Weiming Shen
Expert Systems with Applications (2023) Vol. 233, pp. 120957-120957
Closed Access | Times Cited: 15
Yiming He, Weiming Shen
Expert Systems with Applications (2023) Vol. 233, pp. 120957-120957
Closed Access | Times Cited: 15
Detection of the pipeline elbow erosion by percussion and deep learning
Jian Chen, Lan Cao, Gangbing Song
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110546-110546
Closed Access | Times Cited: 15
Jian Chen, Lan Cao, Gangbing Song
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110546-110546
Closed Access | Times Cited: 15
Multi-sensor fusion rolling bearing intelligent fault diagnosis based on VMD and ultra-lightweight GoogLeNet in industrial environments
Shouqi Wang, Zhigang Feng
Digital Signal Processing (2023) Vol. 145, pp. 104306-104306
Closed Access | Times Cited: 15
Shouqi Wang, Zhigang Feng
Digital Signal Processing (2023) Vol. 145, pp. 104306-104306
Closed Access | Times Cited: 15
Vibration-based bearing fault diagnosis of high-speed trains: A literature review
Wanchun Hu, Ge Xin, Jiayi Wu, et al.
High-speed Railway (2023) Vol. 1, Iss. 4, pp. 219-223
Open Access | Times Cited: 12
Wanchun Hu, Ge Xin, Jiayi Wu, et al.
High-speed Railway (2023) Vol. 1, Iss. 4, pp. 219-223
Open Access | Times Cited: 12
Hybrid Data Augmentation Combining Screening-Based MCGAN and Manual Transformation for Few-Shot Tool Wear State Recognition
Yu Quan, Changfu Liu, Zhuang Yuan, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 8, pp. 12186-12196
Closed Access | Times Cited: 4
Yu Quan, Changfu Liu, Zhuang Yuan, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 8, pp. 12186-12196
Closed Access | Times Cited: 4
Wavelet-driven differentiable architecture search for planetary gear fault diagnosis
Yanghu Wang, Zheng Zhou, Laihao Yang, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 587-593
Closed Access | Times Cited: 4
Yanghu Wang, Zheng Zhou, Laihao Yang, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 587-593
Closed Access | Times Cited: 4
CE-FFGAN: A feature fusion generative adversarial network with deep embedded category information for limited sample fault diagnosis of rotating machinery under speed variation
Chen Yang, Hongkun Li, Shunxin Cao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102605-102605
Closed Access | Times Cited: 4
Chen Yang, Hongkun Li, Shunxin Cao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102605-102605
Closed Access | Times Cited: 4
A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis
Lanjun Wan, Le Huang, Jiaen Ning, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112113-112113
Closed Access | Times Cited: 4
Lanjun Wan, Le Huang, Jiaen Ning, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112113-112113
Closed Access | Times Cited: 4
Deep Learning in Industrial Machinery: A Critical Review of Bearing Fault Classification Methods
Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, et al.
Applied Soft Computing (2025), pp. 112785-112785
Closed Access
Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, et al.
Applied Soft Computing (2025), pp. 112785-112785
Closed Access
Fault Diagnosis Method for Centrifugal Pumps in Nuclear Power Plants Based on a Multi-Scale Convolutional Self-Attention Network
Chen Li, Xinkai Liu, Hang Wang, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1589-1589
Open Access
Chen Li, Xinkai Liu, Hang Wang, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1589-1589
Open Access
Generative adversarial message passing-based anomaly detection
Leilei Ma, Xiangfeng Zhang, Kedian Wang, et al.
Journal of King Saud University - Computer and Information Sciences (2025) Vol. 37, Iss. 1-2
Open Access
Leilei Ma, Xiangfeng Zhang, Kedian Wang, et al.
Journal of King Saud University - Computer and Information Sciences (2025) Vol. 37, Iss. 1-2
Open Access
Rotating machinery fault diagnosis based on impact feature extraction deep neural network
Aijun Hu, Junhao Sun, Ling Xiang, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 11, pp. 114004-114004
Closed Access | Times Cited: 19
Aijun Hu, Junhao Sun, Ling Xiang, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 11, pp. 114004-114004
Closed Access | Times Cited: 19
Correlation feature distribution matching for fault diagnosis of machines
Hongchuang Tan, Suchao Xie, Wen Ma, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108981-108981
Closed Access | Times Cited: 19
Hongchuang Tan, Suchao Xie, Wen Ma, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108981-108981
Closed Access | Times Cited: 19