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 New Strategy for Bearing Health Assessment with a Dynamic Interval Prediction Model
Lingli Jiang, Heshan Sheng, Tongguang Yang, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7696-7696
Open Access | Times Cited: 6
Lingli Jiang, Heshan Sheng, Tongguang Yang, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7696-7696
Open Access | Times Cited: 6
Showing 6 citing articles:
Multi‐Channel Deep Pulse‐Coupled Net: A Novel Bearing Fault Diagnosis Framework
Yanxi Wu, Yalin Yang, Zhuoran Yang, et al.
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
Yanxi Wu, Yalin Yang, Zhuoran Yang, et al.
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
Health Management of Bearings Using Adaptive Parametric VMD and Flying Squirrel Search Algorithms to Optimize SVM
Tianrui Zhang, Lianhong Zhou, Jinyang Li, et al.
Processes (2024) Vol. 12, Iss. 3, pp. 433-433
Open Access | Times Cited: 2
Tianrui Zhang, Lianhong Zhou, Jinyang Li, et al.
Processes (2024) Vol. 12, Iss. 3, pp. 433-433
Open Access | Times Cited: 2
An Online Fault Detection and Remaining Life Prediction Method Based on SVDD for Rolling Bearings
Aiyun Yan, Yuhang Zhao, Zhenlin Lu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 2
Aiyun Yan, Yuhang Zhao, Zhenlin Lu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 2
Research on online anomaly detection methods for bearing degradation
Shuowei Jin, Hongchao Xu, Zhenlin Lu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 085003-085003
Closed Access | Times Cited: 1
Shuowei Jin, Hongchao Xu, Zhenlin Lu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 085003-085003
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
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
Online Condition Monitoring of Industrial Loads Using AutoGMM and Decision Trees
Elia Brescia, Patrizia Vergallo, Pietro Serafino, et al.
Machines (2023) Vol. 11, Iss. 12, pp. 1082-1082
Open Access | Times Cited: 2
Elia Brescia, Patrizia Vergallo, Pietro Serafino, et al.
Machines (2023) Vol. 11, Iss. 12, pp. 1082-1082
Open Access | Times Cited: 2
Remaining useful life prediction of rolling bearings based on time convolutional network and transformer in parallel
Youfu Tang, Ruifeng Liu, Chunhui Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126102-126102
Closed Access
Youfu Tang, Ruifeng Liu, Chunhui Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126102-126102
Closed Access
