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:

A novel health indicator for intelligent prediction of rolling bearing remaining useful life based on unsupervised learning model
Zifei Xu, Musa Bashir, Qinsong Liu, et al.
Computers & Industrial Engineering (2023) Vol. 176, pp. 108999-108999
Open Access | Times Cited: 57

Showing 26-50 of 57 citing articles:

Physical mechanism-corrected degradation trend prediction network under data missing
Qichao Yang, Baoping Tang, Qikang Li, et al.
ISA Transactions (2024) Vol. 149, pp. 237-255
Closed Access | Times Cited: 1

Unsupervised construction of health indicator for rotating machinery via multi-criterion feature selection and attentive variational autoencoder
Xinyu Li, Changming Cheng, Zhike Peng
Science China Technological Sciences (2024) Vol. 67, Iss. 5, pp. 1524-1537
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

Domain generalization for rotating machinery real-time remaining useful life prediction via multi-domain orthogonal degradation feature exploration
Jie Shang, Danyang Xu, Haobo Qiu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111924-111924
Closed Access | Times Cited: 1

Health indicator adaptive construction method of rotating machinery under variable working conditions based on spatiotemporal fusion autoencoder
Yong Duan, Xiangang Cao, Jiangbin Zhao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102945-102945
Closed Access | Times Cited: 1

Enhanced fault diagnosis and remaining useful life prediction of rolling bearings using a hybrid multilayer perceptron and LSTM network model
Kumaran Bharatheedasan, Tanmoy Maity, L.A. Kumaraswamidhas, et al.
Alexandria Engineering Journal (2024) Vol. 115, pp. 355-369
Closed Access | Times Cited: 1

Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation
Sarah Barber, Unai Izagirre, Oscar Serradilla, et al.
Energies (2023) Vol. 16, Iss. 8, pp. 3567-3567
Open Access | Times Cited: 4

A health indicator construction method of rolling bearing based on vibration image features and deep autoencoder network
Yong Duan, Xiangang Cao, Jiangbin Zhao, et al.
(2023), pp. 268-273
Closed Access | Times Cited: 3

Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation
Sarah Barber, Unai Izagirre Aizpitarte, Oscar Serradilla, et al.
(2023)
Open Access | Times Cited: 2

Monotonicity-Induced Health Indicator for Axle-Box Bearings of Urban Rail Vehicles
Yiran Wang, Ge Xin, Guoping An, et al.
Lecture notes in electrical engineering (2024), pp. 672-679
Closed Access

A life prediction method based on MDFF and DITCN-ABiGRU mixed network model
Weixiao Xu, Yujie Shen, Lu Jing, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24299-e24299
Open Access

Unsupervised machinery prognostics approach based on wavelet packet decomposition and variational autoencoder
Leonardo Franco de Godói, Eurípedes Guilherme de Oliveira Nóbrega
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 2
Open Access

Fault Diagnosis and Prognostics of Stochastic Distribution Systems
Youxuan Gao, Lina Yao, Yuan‐Cheng Sun
IEEE Transactions on Circuits & Systems II Express Briefs (2024) Vol. 71, Iss. 7, pp. 3378-3382
Closed Access

A Novel Spatio-Temporal Enhanced Convolutional Autoencoder Network for Unsupervised Health Indicator Construction
Shuaiyong Li, Chao Zhang, Xuyuntao Zhang
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access

A Probabilistic Estimation of Remaining Useful Life from Censored Time-to-Event Data
Christian Marius Lillelund, Fernando Pannullo, Morten Opprud Jakobsen, et al.
(2024)
Open Access

Remaining Value Estimation of Smartphones Applying Machine Learning
Ieva Dundulienė, Robertas Alzbutas
(2024), pp. 1-2
Closed Access

A fine-tuning framework for cross-domain RUL prediction based on relevant health indicators
Junrong Du, Zimeng Fan, Lei Song, et al.
(2024), pp. 1746-1751
Closed Access

Physics-defined HMM model for Reusable LPRE Bearing Remaining Useful Life Estimation
Federica Galli, Vincent Sircoulomb, Philippe Weber, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 4, pp. 162-167
Open Access

Research on Integrated Control Strategy for Wind Turbine Blade Life
B. Q. An, Jun Liu, Zeqiu Zhang
Sensors (2024) Vol. 24, Iss. 17, pp. 5729-5729
Open Access

Health Indicator Construction for Rolling Bearings by Fusion of Optimally Selected Features
Bin Zhang, Congzhe Wang, Kai Zheng
(2024) Vol. 39, pp. 206-211
Closed Access

Trend-constrained pairing based incremental transfer learning for remaining useful life prediction of bearings in wind turbines
X. N. Li, Wei Teng, Luo Wang, et al.
Expert Systems with Applications (2024), pp. 125731-125731
Closed Access

A remaining useful life prediction method based on CNN-BiLSTM feature transfer in a high-noise environment
Jiang Zhao, Yanxia Zhao, Wei Yu
Sound&Vibration (2024) Vol. 59, Iss. 1, pp. 1685-1685
Open Access

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