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OpenAlex Citation Counts

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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:

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

Showing 22 citing articles:

A Comprehensive Survey on Source-Free Domain Adaptation
Jingjing Li, Zhiqi Yu, Zhekai Du, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5743-5762
Open Access | Times Cited: 44
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 multiple conditions dual inputs attention network remaining useful life prediction method
Chengying Zhao, Huaitao Shi, Xianzhen Huang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108160-108160
Closed Access | Times Cited: 8
Pre-training enhanced unsupervised contrastive domain adaptation for industrial equipment remaining useful life prediction
Haodong Li, Peng Cao, X. Wang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102517-102517
Closed Access | Times Cited: 7
A novel data-driven approach for coal-fired boiler under deep peak shaving to predict and optimize NOx emission and heat exchange performance
Yixi Wu, Ziqi Wang, Chenli Shi, et al.
Energy (2024) Vol. 304, pp. 132106-132106
Closed Access | Times Cited: 5
Remaining useful life prediction model of cross-domain rolling bearing via dynamic hybrid domain adaptation and attention contrastive learning
Xingchi Lu, Xuejian Yao, Quan Jiang, et al.
Computers in Industry (2024) Vol. 164, pp. 104172-104172
Closed Access | Times Cited: 5
Remaining useful life prediction across operating conditions based on deep subdomain adaptation network considering the weighted multi-source domain
Chenchen Wu, Jialong He, Wanghao Shen, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112291-112291
Closed Access | Times Cited: 4
A new domain adaption residual separable convolutional neural network model for cross-domain remaining useful life prediction
Chengying Zhao, Xianzhen Huang, Shangjie Li, et al.
ISA Transactions (2023) Vol. 145, pp. 239-252
Closed Access | Times Cited: 11
Fault Diagnosis of Bearings and Gears Based on LiteNet With Feature Aggregation
Qiankun Li, Xin Ma, Mingliang Cui, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-9
Closed Access | Times Cited: 10
A New Multisensor Partial Domain Adaptation Method for Machinery Fault Diagnosis Under Different Working Conditions
Jun Zhu, Yuanfan Wang, Min Xia, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 7
Label adversarial domain adaptation network for predicting remaining useful life based on cross-domain condition
Shanshan Lv, Chengcheng Xia, Cong Cheng, et al.
Computers & Industrial Engineering (2024) Vol. 197, pp. 110542-110542
Closed Access | Times Cited: 1
Contrastive Domain-Invariant Generalization for Remaining Useful Life Prediction Under Diverse Conditions and Fault Modes
Xiaoqi Xiao, Jianguo Zhang, Dan Xu
Reliability Engineering & System Safety (2024), pp. 110534-110534
Closed Access | Times Cited: 1
A generalized network with domain invariance and specificity representation for bearing remaining useful life prediction under unknown conditions
Qing Zheng, Pengtao Teng, Kai Zhang, et al.
Knowledge-Based Systems (2024), pp. 112915-112915
Closed Access | Times Cited: 1
Weighted Domain Adaptation Using the Graph-Structured Dataset Representation for Machinery Fault Diagnosis under Varying Operating Conditions
Junhyuk Choi, D.I. Kong, Hyunbo Cho
Sensors (2023) Vol. 24, Iss. 1, pp. 188-188
Open Access | Times Cited: 3
A Novel Data-Driven Combustion Modeling and Optimization Approach for Coal-Fired Boiler Under Deep Peak Shaving
Yixi Wu, Ziqi Wang, Chenli Shi, et al.
(2024)
Closed Access
Supervised Domain Adaptation for Remaining Useful Life Prediction Based on AdaBoost With Long Short-Term Memory
Seunghwan Seo, Jungwoo Hwang, Moonkyung Chung
IEEE Access (2024) Vol. 12, pp. 96757-96768
Open Access
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 novel two-dimensional progressive domain adaptation framework for cross-domain remaining useful life prediction
Z. Cen, Shaolin Hu, Yandong Hou, et al.
Measurement (2024), pp. 116411-116411
Closed Access
Domain Adaptive Network Based on Transformer for Remaining Useful Life Prediction in Turbofan Engine
Yong Zeng, Fengqing Liu, Guoqiang Han
(2024)
Closed Access
Remaining useful life prediction of rotating equipment under multiple operating conditions via multi-source adversarial distillation domain adaptation
Jie Shang, Danyang Xu, Mingyu Li, et al.
Reliability Engineering & System Safety (2024), pp. 110769-110769
Closed Access
Remaining Useful Life Prediction of Main Reducer Based on Parallel Multi-Attention and Contrastive Fusion Multi-Source Domain Adaption Considering Compound-Fault
Qing Ye, Muyu Lin, Hai-Meng Zhou, et al.
(2024)
Closed Access
A Lightweight Network Based on Adaptive Knowledge Distillation for Remaining Useful Life Prediction Under Cross-Working Conditions
Jiaxian Chen, Dongpeng Li, Ruyi Huang, et al.
(2023), pp. 1-6
Closed Access
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