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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:

Data-driven remaining useful life prediction based on domain adaptation
Bin Wen, Ming Xiao, Xue qi Wang, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e690-e690
Open Access | Times Cited: 22

Showing 22 citing articles:

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
Deep Unsupervised Domain Adaptation with Time Series Sensor Data: A Survey
Yongjie Shi, Xianghua Ying, Jinfa Yang
Sensors (2022) Vol. 22, Iss. 15, pp. 5507-5507
Open Access | Times Cited: 33
Intermittent work system operation and storage life prediction
Bin Wen, Xin Zhao, Xilang Tang, et al.
Computers & Industrial Engineering (2025), pp. 110984-110984
Closed Access
Similarity based city data transfer framework in urban digitization
Haoxiang Wang, Xiaoping Che, Elizabeth Chang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An enhanced CNN-LSTM remaining useful life prediction model for aircraft engine with attention mechanism
Hao Li, Zhuojian Wang, Zhe Li
PeerJ Computer Science (2022) Vol. 8, pp. e1084-e1084
Open Access | Times Cited: 21
Adversarial Deep Transfer Learning in Fault Diagnosis: Progress, Challenges, and Future Prospects
Yu Guo, Jundong Zhang, Bin Sun, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7263-7263
Open Access | Times Cited: 9
Adoptable approaches to predictive maintenance in mining industry: An overview
Oluwatobi Dayo-Olupona, Bekir Genc, Turgay Çelik, et al.
Resources Policy (2023) Vol. 86, pp. 104291-104291
Open Access | Times Cited: 9
Mixed Effects Random Forest Model for Maintenance Cost Estimation in Heavy-Duty Vehicles Using Diesel and Alternative Fuels
Sasanka Katreddi, Arvind Thiruvengadam, Gregory Thompson, et al.
IEEE Access (2023) Vol. 11, pp. 67168-67179
Open Access | Times Cited: 5
An unsupervised subdomain adversarial network for remaining useful life estimation under various conditions
Zhenfei Wen, Yi Lyu, Aiguo Chen
Quality and Reliability Engineering International (2023) Vol. 40, Iss. 4, pp. 1652-1671
Closed Access | Times Cited: 5
Data-Efficient Estimation of Remaining Useful Life for Machinery With a Limited Number of Run-to-Failure Training Sequences
German Sternharz, Ayman Elhalwagy, Tatiana Kalganova
IEEE Access (2022) Vol. 10, pp. 129443-129464
Open Access | Times Cited: 5
Remaining useful life prediction with insufficient degradation data based on deep learning approach
Yi Lyu, Yijie Jiang, Qichen Zhang, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2021) Vol. 23, Iss. 4, pp. 745-756
Open Access | Times Cited: 6
Machinery Prognostics and High-Dimensional Data Feature Extraction Based on A Transformer Self-Attention Transfer Network
Shilong Sun, Tengyi Peng, Haodong Huang
(2023)
Open Access | Times Cited: 2
A novel transfer learning approach based on deep degradation feature adaptive alignment for remaining useful life prediction with multi-condition data
Yi Lyu, Zhenfei Wen, Aiguo Chen
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 2
Remaining useful life prediction for are cracked rotor system via moving feature fusion based deep learning approach
Imdadullah Khan, Chunrong Hua, Longbin Li, et al.
Measurement (2024) Vol. 239, pp. 115433-115433
Closed Access
Machinery Prognostics and High-Dimensional Data Feature Extraction Based on a Transformer Self-Attention Transfer Network
Shilong Sun, Tengyi Peng, Haodong Huang
Sensors (2023) Vol. 23, Iss. 22, pp. 9190-9190
Open Access | Times Cited: 1
Accelerometer-Based Bearing Condition Indicator Estimation Using Semi-Supervised Adaptive DSVDD
Maarten Meire, Robert Brijder, Gert Dekkers, et al.
Annual Conference of the PHM Society (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Applications of Active Learning in Predictive Maintenance
Navid Zaman, Jun You, Yan Li, et al.
PHM Society Asia-Pacific Conference (2023) Vol. 4, Iss. 1
Open Access
Peer Review #2 of "An enhanced CNN-LSTM remaining useful life prediction model for aircraft engine with attention mechanism (v0.1)"
Hao Li, Zhuojian Wang, Zhe Li
(2022)
Open Access
Peer Review #1 of "An enhanced CNN-LSTM remaining useful life prediction model for aircraft engine with attention mechanism (v0.2)"
Hao Li, Zhuojian Wang, Zhe Li
(2022)
Open Access
Peer Review #1 of "An enhanced CNN-LSTM remaining useful life prediction model for aircraft engine with attention mechanism (v0.1)"
Hao Li, Zhuojian Wang, Zhe Li
(2022)
Open Access
Peer Review #2 of "An enhanced CNN-LSTM remaining useful life prediction model for aircraft engine with attention mechanism (v0.2)"
Hao Li, Zhuojian Wang, Zhe Li
(2022)
Open Access
Remaining Useful Life Estimation for Roller Bearings through a Takagi-Sugeno Fuzzy Logic Model with Convolutional Neural Networks Consequents
Joseph Aristotle De Leon, Xinai V. Batiller, Kyle Christian T. Fernandez, et al.
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (2022), pp. 1-6
Closed Access
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