Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Periodic Cyclic Sparse Network With Entire Domain Adaptation for Deep Transfer Fault Diagnosis of Rolling Bearing
Xing Zhan, Cai Yi, Jianhui Lin, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 12, pp. 13452-13468
Closed Access | Times Cited: 9

Showing 9 citing articles:

Multi-sensor fusion fault diagnosis method of wind turbine bearing based on adaptive convergent viewable neural networks
Xinming Li, Yanxue Wang, Jiachi Yao, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109980-109980
Closed Access | Times Cited: 33
SSPENet: Semi-supervised prototype enhancement network for rolling bearing fault diagnosis under limited labeled samples
Xuejian Yao, Xingchi Lu, Quan Jiang, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102560-102560
Closed Access | Times Cited: 11
A novel stochastic resonance based deep residual network for fault diagnosis of rolling bearing system
Xuqun Zhang, Yumei Ma, Zhenkuan Pan, et al.
ISA Transactions (2024) Vol. 148, pp. 279-284
Closed Access | Times Cited: 8
Selective Feature Reinforcement Network for Robust Remote Fault Diagnosis of Wind Turbine Bearing Under Non-Ideal Sensor Data
Jinbiao Tan, Jiafu Wan, Baotong Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 5
Detecting unexpected faults of high-speed train axlebox bearings using multi-node network structure
Yanlong Pan, Cai Yi, Xiaokang Liao, et al.
Measurement (2025), pp. 116641-116641
Closed Access
Cross-domain transfer fault diagnosis by class-imbalanced deep subdomain adaptive network
Jianyu Zhou, Xiangfeng Zhang, Hong Jiang, et al.
Measurement (2024) Vol. 242, pp. 115901-115901
Closed Access | Times Cited: 3
Boosting efficient attention assisted cyclic adversarial auto-encoder for rotating component fault diagnosis under low label rates
Jianguo Miao, Zihao Deng, Congying Deng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108499-108499
Closed Access | Times Cited: 2
An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion
Xianzhang Zhou, Aohan Li, Guangjie Han
Sensors (2023) Vol. 23, Iss. 17, pp. 7567-7567
Open Access | Times Cited: 5
Multi-Condition Intelligent Fault Diagnosis Based on Tree-Structured Labels and Hierarchical Multi-Granularity Diagnostic Network
Hehua Yan, Jinbiao Tan, Yixiong Luo, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 891-891
Open Access
Page 1

Scroll to top