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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:

Transfer Learning for Remaining Useful Life Prediction Across Operating Conditions Based on Multisource Domain Adaptation
Yifei Ding, Peng Ding, Xiaoli Zhao, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 5, pp. 4143-4152
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 320
Novel Joint Transfer Network for Unsupervised Bearing Fault Diagnosis From Simulation Domain to Experimental Domain
Yiming Xiao, Haidong Shao, Song-Yu Han, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 6, pp. 5254-5263
Closed Access | Times Cited: 225
A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition
Jiusi Zhang, Xiang Li, Jilun Tian, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108986-108986
Closed Access | Times Cited: 111
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
Partial Domain Adaptation in Remaining Useful Life Prediction With Incomplete Target Data
Xiang Li, Zhang We, Xu Li, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 3, pp. 1903-1913
Closed Access | Times Cited: 64
Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective
Jiusi Zhang, Jilun Tian, Pengfei Yan, et al.
Reliability Engineering & System Safety (2024) Vol. 244, pp. 109950-109950
Closed Access | Times Cited: 51
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
Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis
Quan Qian, Huayan Pu, Tianjia Tu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 217, pp. 111544-111544
Closed Access | Times Cited: 19
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
Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions
Jichao Zhuang, Yudong Cao, Minping Jia, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120276-120276
Closed Access | Times Cited: 23
Prognostics and health management for predictive maintenance: A review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 78-101
Closed Access | Times Cited: 12
Degradation path approximation for remaining useful life estimation
Linchuan Fan, Wen‐Yi Lin, Xiaolong Chen, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102422-102422
Closed Access | Times Cited: 8
Machine learning for prognostics and health management of industrial mechanical systems and equipment: A systematic literature review
Lorenzo Polverino, Raffaele Abbate, Pasquale Manco, et al.
International Journal of Engineering Business Management (2023) Vol. 15
Open Access | Times Cited: 16
A comprehensive survey of machine remaining useful life prediction approaches based on pattern recognition: taxonomy and challenges
Jianghong Zhou, Jiahong Yang, Quan Qian, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 062001-062001
Closed Access | Times Cited: 6
Selecting subsets of source data for transfer learning with applications in metal additive manufacturing
Yifan Tang, Mostafa Rahmani Dehaghani, Pouyan Sajadi, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities
Ruqiang Yan, Weihua Li, Siliang Lu, et al.
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 5
Enhancing vehicle fault diagnosis through multi-view sound analysis: integrating scalograms and spectrograms in a deep learning framework
Ferit Akbalık, Abdulnasır Yildiz, Ömer Faruk Ertuğrul, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 1
Closed Access
Few-shot remaining useful life prediction based on Bayesian meta-learning with predictive uncertainty calibration
Liang Chang, Yan‐Hui Lin
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109980-109980
Closed Access
Transfer-Learning-Based State-of-Health Estimation for Lithium-Ion Battery With Cycle Synchronization
Kate Qi Zhou, Yan Qin, Chau Yuen
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 2, pp. 692-702
Open Access | Times Cited: 24
RUL prediction of rolling bearings across working conditions based on multi-scale convolutional parallel memory domain adaptation network
Jimeng Li, Weilin Mao, Bixin Yang, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109854-109854
Closed Access | Times Cited: 13
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
Bearings remaining useful life prediction across equipment-operating conditions based on multisource-multitarget domain adaptation
Shu’ang Li, Xingquan Shen, Jinjie Zhou, et al.
Measurement (2024) Vol. 236, pp. 115026-115026
Closed Access | Times Cited: 4
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
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
Remaining useful life prediction methods of equipment components based on deep learning for sustainable manufacturing: a literature review
Yuwen Pan, Shijia Kang, Linggang Kong, et al.
Artificial intelligence for engineering design analysis and manufacturing (2025) Vol. 39
Closed Access
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