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:

Remaining useful life estimation of bearings under different working conditions via Wasserstein distance-based weighted domain adaptation
Tao Hu, Yiming Guo, Liudong Gu, et al.
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108526-108526
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

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
Deep learning enhanced lithium-ion battery nonlinear fading prognosis
Shanling Ji, Jianxiong Zhu, Zhiyang Lyu, et al.
Journal of Energy Chemistry (2023) Vol. 78, pp. 565-573
Closed Access | Times Cited: 43
Digital twin-driven graph domain adaptation neural network for remaining useful life prediction of rolling bearing
Lingli Cui, Yongchang Xiao, Dongdong Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109991-109991
Closed Access | Times Cited: 41
A novel bearing fault diagnosis method based joint attention adversarial domain adaptation
Pengfei Chen, Rongzhen Zhao, Tianjing He, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109345-109345
Closed Access | Times Cited: 30
Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction
Ismail Nejjar, Fabian Geissmann, Mengjie Zhao, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109718-109718
Open Access | Times Cited: 22
Meta-learning with deep flow kernel network for few shot cross-domain remaining useful life prediction
Jing Yang, Xiaomin Wang
Reliability Engineering & System Safety (2024) Vol. 244, pp. 109928-109928
Closed Access | Times Cited: 10
Multi-feature spaces cross adaption transfer learning-based bearings piece-wise remaining useful life prediction under unseen degradation data
Zejian Li, De-Jun Cheng, Han-Bing Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102413-102413
Closed Access | Times Cited: 9
Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines
Wentao Mao, Wen Zhang, Ke Feng, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109695-109695
Closed Access | Times Cited: 19
A novel transfer gear life prediction method by the cross-condition health indicator and nested hierarchical binary-valued network
Dingliang Chen, Wei Cai, Hangjun Yu, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109390-109390
Closed Access | Times Cited: 18
A Bayesian adversarial probsparse Transformer model for long-term remaining useful life prediction
Yongbo Cheng, Junheng Qv, Ke Feng, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110188-110188
Closed Access | Times Cited: 7
A bearing remaining life prediction method under variable operating conditions based on cross-transformer fusioning segmented data cleaning
Dongxiao Hou, Jiahui Chen, Rongcai Cheng, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110021-110021
Closed Access | Times Cited: 6
A transfer regression network-based adaptive calibration method for remaining useful life prediction considering individual discrepancies in the degradation process of machinery
Jiaxian Chen, Dongpeng Li, Ruyi Huang, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 5
A temporal partial domain adaptation network for transferable prognostics across working conditions with insufficient data
Yuhui Xu, Tangbin Xia, Yimin Jiang, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110273-110273
Closed Access | Times Cited: 5
A novel cross-scenario transferable RUL prediction network with multisource domain meta transfer learning for wind turbine bearings
Lixiao Cao, Xue‐Ping Wang, Hongyu Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-9
Closed Access
Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction
Kangkai Wu, Jingjing Li, Lin Zuo, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 22
Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions
Yuan Li, Jingwei Li, Huanjie Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109748-109748
Closed Access | Times Cited: 15
Transfer component analysis-driven domain adaptation approach for estimating the life of tunnel boring machine disc cutters
Jorge Loy-Benitez, Hyun-Koo Lee, Myung Kyu Song, et al.
Tunnelling and Underground Space Technology (2024) Vol. 147, pp. 105714-105714
Closed Access | Times Cited: 4
Remaining useful life prediction under variable operating conditions via multisource adversarial domain adaptation networks
Junrong Du, Lei Song, Xuanang Gui, et al.
Applied Soft Computing (2024) Vol. 161, pp. 111717-111717
Closed Access | Times Cited: 4
Entropy-based domain adaption strategy for predicting remaining useful life of rolling element bearing
Anil Kumar, Chander Parkash, Yuqing Zhou, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108575-108575
Closed Access | Times Cited: 4
Neural ODE powered model for bearing remaining useful life predictions with intra- and inter-domain shifts
Tao Hu, Zhenling Mo, Zhenyu Zhang
Advanced Engineering Informatics (2025) Vol. 64, pp. 103077-103077
Closed Access
A survey on few-shot learning for remaining useful life prediction
Renpeng Mo, Han Zhou, Hongpeng Yin, et al.
Reliability Engineering & System Safety (2025), pp. 110850-110850
Closed Access
An uncertainty relevance metric-based domain adaptation fault diagnosis method to overcome class relevance caused confusion
Qing Zhang, Lv Tang, Jianping Xuan, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 109040-109040
Closed Access | Times Cited: 20
Remaining useful life estimation of ball-bearings based on motor current signature analysis
Miguel Angel Bermeo-Ayerbe, Vincent Cocquempot, Carlos Ocampo‐Martínez, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109209-109209
Closed Access | Times Cited: 11
Remaining Useful Life Prediction and Uncertainty Quantification for Bearings Based on Cascaded Multiscale Convolutional Neural Network
Jialong He, Chenchen Wu, Wei Luo, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-13
Closed Access | Times Cited: 11
Physics-guided degradation trajectory modeling for remaining useful life prediction of rolling bearings
Chen Yin, Yuqing Li, Yulin Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112192-112192
Closed Access | Times Cited: 3
Page 1 - Next Page

Scroll to top