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:

Semi-supervised double attention guided assessment approach for remaining useful life of rotating machinery
Jichao Zhuang, Minping Jia, Yudong Cao, et al.
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108685-108685
Closed Access | Times Cited: 17

Showing 17 citing articles:

Semi-supervised adversarial discriminative learning approach for intelligent fault diagnosis of wind turbine
Te Han, Wenzhen Xie, Zhongyi Pei
Information Sciences (2023) Vol. 648, pp. 119496-119496
Closed Access | Times Cited: 122
Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
Jiaxian Chen, Ruyi Huang, Zhuyun Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110239-110239
Closed Access | Times Cited: 101
RUL prediction for rolling bearings based on Convolutional Autoencoder and status degradation model
Weiyang Xu, Quan Jiang, Yehu Shen, et al.
Applied Soft Computing (2022) Vol. 130, pp. 109686-109686
Closed Access | Times Cited: 38
Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging
Xin Li, Yong Li, Ke Yan, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108921-108921
Closed Access | Times Cited: 38
Complex domain extension network with multi-channels information fusion for remaining useful life prediction of rotating machinery
Yudong Cao, Minping Jia, Yifei Ding, et al.
Mechanical Systems and Signal Processing (2023) Vol. 192, pp. 110190-110190
Closed Access | Times Cited: 26
Remaining useful life prediction combined dynamic model with transfer learning under insufficient degradation data
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109292-109292
Closed Access | Times Cited: 26
Res-HSA: Residual hybrid network with self-attention mechanism for RUL prediction of rotating machinery
Junjun Zhu, Quan Jiang, Yehu Shen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106491-106491
Closed Access | Times Cited: 24
Bayesian large-kernel attention network for bearing remaining useful life prediction and uncertainty quantification
Lei Wang, Hongrui Cao, Zhi‐Sheng Ye, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109421-109421
Closed Access | Times Cited: 20
Remaining useful life prediction via a hybrid DBN-KF-based method: A case of subsea Christmas tree valves
Xiaoyan Shao, Baoping Cai, Yonghong Liu, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109405-109405
Closed Access | Times Cited: 18
Enhanced stochastic recurrent hybrid model for RUL Predictions via Semi-supervised learning
Yan‐Hui Lin, Liang Chang, Lu-Xin Guan
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110167-110167
Closed Access | Times Cited: 5
Remaining life prediction of bearings based on improved IF-SCINet
Jing Zhang, Chao Zhang, Shuai Xu, et al.
IEEE Access (2024) Vol. 12, pp. 19598-19611
Open Access | Times Cited: 4
A contrastive semi-supervised remaining useful life prediction method with incomplete life histories on turbofan
Tiancheng Wang, Yi Xu, Di Guo, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110134-110134
Closed Access
DCAGGCN: A novel method for remaining useful life prediction of bearings
Deqiang He, Jiayang Zhao, Zhenzhen Jin, et al.
Reliability Engineering & System Safety (2025), pp. 110978-110978
Closed Access
Remaining useful life estimation of bearing via temporal convolutional networks enhanced by a gated convolutional unit
Yujie Qin, Fanfan Gan, Baizhan Xia, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108308-108308
Closed Access | Times Cited: 3
Rotating machinery health state assessment under multi-working conditions based on a deep fuzzy clustering network
Zejin Sun, Youren Wang, Zhang Lujin
Measurement (2023) Vol. 218, pp. 113172-113172
Closed Access | Times Cited: 6
Deep transfer learning in machinery remaining useful life prediction: A systematic review
Gaige Chen, Xianguang Kong, Han Cheng, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 012005-012005
Closed Access
A vision subsampling probsparse self-attention-based informer for bearing remaining useful life prediction
MingLei Li, Yanfeng Geng, Guangliang Pan, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 9, pp. 095107-095107
Closed Access | Times Cited: 1
Page 1

Scroll to top