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:

TSN: A novel intelligent fault diagnosis method for bearing with small samples under variable working conditions
Peiming Shi, Shuping Wu, Xuefang Xu, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109575-109575
Closed Access | Times Cited: 23

Showing 23 citing articles:

A novel data augmentation approach to fault diagnosis with class-imbalance problem
Jilun Tian, Yuchen Jiang, Jiusi Zhang, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109832-109832
Closed Access | Times Cited: 50
ReF-DDPM: A novel DDPM-based data augmentation method for imbalanced rolling bearing fault diagnosis
Yu Tian, Chaoshun Li, Jie Huang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110343-110343
Closed Access | Times Cited: 12
A bearing fault data augmentation method based on hybrid-diversity loss diffusion model and parameter transfer
Yuan Wei, Zhijun Xiao, Xiangyan Chen, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110567-110567
Closed Access | Times Cited: 6
Reliable fault diagnosis using evidential aggregated residual network under varying working conditions and noise interference
Hanting Zhou, Wenhe Chen, Peirui Qiao, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111407-111407
Closed Access | Times Cited: 4
SDCGAN: A CycleGAN-Based Single-Domain Generalization Method for Mechanical Fault Diagnosis
Yu Guo, Xiangyu Li, Jundong Zhang, et al.
Reliability Engineering & System Safety (2025), pp. 110854-110854
Closed Access
A mechanism-based sample generation method utilizing morphological analysis and dynamic modeling for online monitoring of rotor systems
Zepeng Ma, Lei Fu, Dapeng Tan, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112438-112438
Closed Access
An Adaptive Kriging-Based Fourth-Moment Reliability Analysis Method for Engineering Structures
E Shiyuan, Yanzhong Wang, Bin Xie, et al.
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3247-3247
Open Access | Times Cited: 3
Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis
Hongyan Zhu, Changqing Shen, Lin Li, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110433-110433
Closed Access | Times Cited: 3
Knowledge-informed FIR-based cross-category filtering framework for interpretable machinery fault diagnosis under small samples
Rui Liu, Xiaoxi Ding, Shenglan Liu, et al.
Reliability Engineering & System Safety (2024), pp. 110610-110610
Closed Access | Times Cited: 3
Broad zero-shot diagnosis for rotating machinery with untrained compound faults
Chenyang Ma, Xianzhi Wang, Yongbo Li, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109704-109704
Closed Access | Times Cited: 10
DECVAE: Data augmentation via conditional variational auto-encoder with distribution enhancement for few-shot fault diagnosis of mechanical system
Yikun Liu, Song Fu, Lin Lin, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046104-046104
Closed Access | Times Cited: 3
A frequency channel-attention based vision Transformer method for bearing fault identification across different working conditions
Ling Xiang, Hankun Bing, Xianze Li, et al.
Expert Systems with Applications (2024) Vol. 262, pp. 125686-125686
Closed Access | Times Cited: 3
Uncertainty-Aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis
Jiaxin Ren, Jingcheng Wen, Zhibin Zhao, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 6, pp. 1317-1330
Closed Access | Times Cited: 2
Contrast Learning with Hard Example Mining for Few-shot Fault Diagnosis of Rolling Bearings
Zenghui An, Houliang Wang, Yinglong Yan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106121-106121
Closed Access | Times Cited: 2
A review on adversarial–based deep transfer learning mechanical fault diagnosis
Yu Guo, Ziyi Cheng, Jundong Zhang, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
A brain-inspired energy-efficient Wide Spiking Residual Attention Framework for intelligent fault diagnosis
Jiale Liu, Huan Wang
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109873-109873
Closed Access | Times Cited: 6
Multiscale dilated convolution and swin-transformer for small sample gearbox fault diagnosis
Yazhou Zhang, Xiaoqiang Zhao, Haopeng Liang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 17-18, pp. 7716-7732
Closed Access | Times Cited: 1
ParInfoGPT: An LLM-based two-stage framework for reliability assessment of rotating machine under partial information
Zhendong Pang, Yingxin Luan, Jiahong Chen, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110312-110312
Closed Access | Times Cited: 1
Fault diagnosis method for bearings under variable working conditions based on transfer relation network
ran zhang, Zhihong Zhao, Tao Xu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126202-126202
Closed Access | Times Cited: 1
A three-stage bearing transfer fault diagnosis method for large domain shift scenarios
Kai Huang, Zhijun Ren, Linbo Zhu, et al.
Reliability Engineering & System Safety (2024) Vol. 254, pp. 110641-110641
Closed Access | Times Cited: 1
A multi-period-sequential-index combination method for short-term prediction of small sample data
Hongyan Jiang, Feng Cheng, Wu Cong, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109767-109767
Closed Access | Times Cited: 2
Adaptive Variational Sampling-embedded Domain Generalization Network for fault diagnosis with intra-inter-domain class imbalance
Xiao Zhang, Weiguo Huang, Jun Wang, et al.
Reliability Engineering & System Safety (2024), pp. 110707-110707
Closed Access
A novel dual networks-guided self-assessment framework for bearings fault mode diagnosis considering early fault feature diversity
Zejian Li, De-Jun Cheng, Xiaoyan Li, et al.
Expert Systems with Applications (2024), pp. 126347-126347
Closed Access
Page 1

Scroll to top