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:

Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network
Yudong Cao, Minping Jia, Peng Ding, et al.
Measurement (2021) Vol. 178, pp. 109287-109287
Closed Access | Times Cited: 142

Showing 76-100 of 142 citing articles:

Prediction of remaining fatigue life of metal specimens using data-driven method based on acoustic emission signal
Jialin Li, Xuan Cao, Renxiang Chen, et al.
Applied Acoustics (2023) Vol. 211, pp. 109571-109571
Closed Access | Times Cited: 8
A feature disentanglement and unsupervised domain adaptation of remaining useful life prediction for sensor-equipped machines
Jianhai Yan, Zhi‐Sheng Ye, Shuguang He, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109736-109736
Closed Access | Times Cited: 8
Temporal convolutional approach with residual multi-head attention mechanism for remaining useful life of manufacturing tools
Baosu Guo, Zhaohui Qiao, Hao Dong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107538-107538
Closed Access | Times Cited: 8
Bearing Fault Detection in ASD-Powered Induction Machine Using MODWT and Image Edge Detection
Victor Aviña-Corral, Jose Rangel‐Magdaleno, Hayde Peregrina‐Barreto, et al.
IEEE Access (2022) Vol. 10, pp. 24181-24193
Open Access | Times Cited: 13
A novel two-stage method via adversarial strategy for remaining useful life prediction of bearings under variable conditions
Yang Liu, Guanghui Zhou, Shujian Zhao, et al.
Reliability Engineering & System Safety (2024), pp. 110602-110602
Closed Access | Times Cited: 2
Remaining Useful Life Prediction Based on Multi-Representation Domain Adaptation
Yi Lyu, Qichen Zhang, Zhenfei Wen, et al.
Mathematics (2022) Vol. 10, Iss. 24, pp. 4647-4647
Open Access | Times Cited: 12
Picture-in-Picture Strategy-Based Complex Graph Neural Network for Remaining Useful Life Prediction of Rotating Machinery
Yudong Cao, Jichao Zhuang, Minping Jia, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 6
Multisynchrosqueezing short-time fractional Fourier transform and its application in rolling bearing instantaneous frequency estimation
L. L. Jiang, Jianzhong Hu, Q. Zhou, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025022-025022
Closed Access | Times Cited: 6
Rolling bearing transfer fault diagnosis method based on adversarial variational autoencoder network
Yisheng Zou, Keming Shi, Yongzhi Liu, et al.
Measurement Science and Technology (2021) Vol. 32, Iss. 11, pp. 115017-115017
Closed Access | Times Cited: 14
A deep learning-based approach for electrical equipment remaining useful life prediction
Huibin Fu, Ying Liu
Autonomous Intelligent Systems (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 10
A novel bootstrap ensemble learning convolutional simple recurrent unit method for remaining useful life interval prediction of turbofan engines
Chengying Zhao, Xianzhen Huang, Huizhen Liu, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 12, pp. 125004-125004
Closed Access | Times Cited: 9
Comparative Performance Analysis of Vibration Prediction Using RNN Techniques
Ju-Hyung Lee, Jun-Ki Hong
Electronics (2022) Vol. 11, Iss. 21, pp. 3619-3619
Open Access | Times Cited: 9
Dynamic Bayesian Networks for Feature Learning and Transfer Applications in Remaining Useful Life Estimation
Lingquan Zeng, Junhua Zheng, Le Yao, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-12
Closed Access | Times Cited: 9
Complex augmented representation network for transferable health prognosis of rolling bearing considering dynamic covariate shift
Yudong Cao, Minping Jia, Xiaoli Zhao, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109692-109692
Closed Access | Times Cited: 5
Remaining useful life estimation for aero-engine with multiple working conditions via an improved generative adversarial network
Yang Ge, Fusheng Zhang
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2022) Vol. 44, Iss. 5
Closed Access | Times Cited: 8
A Life-Stage Domain Aware Network for Bearing Health Prognosis Under Unseen Temporal Distribution Shift
Tao Hu, Zhenling Mo, Zijun Zhang
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 1
Advancements in Bearing Remaining Useful Life Prediction Methods: A Comprehensive Review
Liuyang Song, Tianjiao Lin, Jin Ye, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092003-092003
Closed Access | Times Cited: 1
Remaining useful life prediction of machinery based on performance evaluation and online cross-domain health indicator under unknown working conditions
Xuewu Pei, Liang Gao, Xinyu Li
Journal of Manufacturing Systems (2024) Vol. 75, pp. 213-227
Closed Access | Times Cited: 1
Utilizing multiple inputs autoregressive models for bearing remaining useful life prediction
Junliang Wang, Qinghua Zhang, Guanhua Zhu, et al.
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035425-035425
Open Access | Times Cited: 1
A bidirectional Siamese recurrent neural network for accurate gait recognition using body landmarks
Proma Hossain Progga, Md. Jobayer Rahman, Swapnil Biswas, et al.
Neurocomputing (2024) Vol. 605, pp. 128313-128313
Closed Access | Times Cited: 1
A Novel Transfer Learning Approach for State-of-Health Prediction of Lithium-Ion Batteries in the Absence of Run to Failure Data
Lei Song, Xuanang Gui, Junrong Du, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 1
SRCAE-STCBiGRU: a fused deep learning model for remaining useful life prediction of rolling bearings
Linfeng Deng, Xinhui Yan, Wei Li
Signal Image and Video Processing (2024)
Closed Access | Times Cited: 1
Sinkhorn Divergence-based Contrast Domain Adaptation for Remaining Useful Life Prediction of Rolling Bearings under Multiple Operating Conditions
Yan Han, Ailin Hu, Qingqing Huang, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110557-110557
Closed Access | Times Cited: 1
Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data
Yudong Cao, Minping Jia, Xiaoli Zhao, et al.
Expert Systems with Applications (2023) Vol. 222, pp. 119824-119824
Closed Access | Times Cited: 4
A New Method of Bearing Remaining Useful Life Based on Life Evolution and SE-ConvLSTM Neural Network
Shuai Yang, Yongqiang Liu, Yingying Liao, et al.
Machines (2022) Vol. 10, Iss. 8, pp. 639-639
Open Access | Times Cited: 7

Scroll to top