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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:

Machinery cross domain degradation prognostics considering compound domain shifts
Peng Ding, Xiaoli Zhao, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109490-109490
Closed Access | Times Cited: 16

Showing 16 citing articles:

Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
Multi-perception Graph Convolutional Tree-embedded Network for Aero-engine Bearing Health Monitoring with Unbalanced Data
Dezun Zhao, Wenbin Cai, Lingli Cui
Reliability Engineering & System Safety (2025) Vol. 257, pp. 110888-110888
Closed Access | Times Cited: 2
Enhanced residual convolutional domain adaptation network with CBAM for RUL prediction of cross-machine rolling bearing
Xingchi Lu, Quan Jiang, Yehu Shen, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109976-109976
Closed Access | Times Cited: 12
Multiattention-Based Feature Aggregation Convolutional Networks With Dual Focal Loss for Fault Diagnosis of Rotating Machinery Under Data Imbalance Conditions
Yadong Xu, Sheng Li, Xiaoan Yan, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 8
A survey on few-shot learning for remaining useful life prediction
Renpeng Mo, Han Zhou, Hongpeng Yin, et al.
Reliability Engineering & System Safety (2025), pp. 110850-110850
Closed Access
Research on sparsity measures for fault signature quantification
Dong Wang, Bingchang Hou
Elsevier eBooks (2025), pp. 25-71
Closed Access
Quantile regression network-based cross-domain prediction model for rolling bearing remaining useful life
Ting Zhang, Honglei Wang
Applied Soft Computing (2024) Vol. 159, pp. 111649-111649
Closed Access | Times Cited: 4
Multi-stream domain adversarial prototype network for integrated smart roller TBM main bearing fault diagnosis across various low rotating speeds
Xingchen Fu, Keming Jiao, Jianfeng Tao, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110284-110284
Closed Access | Times Cited: 4
Machinery degradation trend prediction considering temporal distribution discrepancy between degradation stages
Shudong Ou, Ming Zhao, Hao Wu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107872-107872
Closed Access | Times Cited: 2
A novel graph structure data-driven crack damage identification for compressor blade based on vibro-acoustic signal
Peng Ding, Di Song, Junxian Shen, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 2
Unified Diagnostic and Matching Framework of Fault and Quality for Robotic Grinding System
Wenbin He, Jianxu Mao, Yaonan Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 1
Robust Separation-Enhanced NRC Method for Multiple Periodicity Detection: Applications in Bearing Compound Fault Diagnosis
Saisai Chen, Wei Fan, Yuyong Xiong, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
Nominal State Determination and Its Effect on Remaining Useful Life Prediction
Solichin Mochammad, Nam Ho Kim, Yoojeong Noh
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096112-096112
Open Access | Times Cited: 1
ACDE2LM: Autocorrelation-constrained dynamic ensemble extreme learning machine for real-time fault diagnostics of bearings
Xin Zhang, Tian Hu, Yuanke Wu, et al.
Measurement (2024), pp. 116608-116608
Closed Access | Times Cited: 1
Category knowledge-guided few-shot bearing fault diagnosis
Feng Zhan, Lingkai Hu, Wenkai Huang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109489-109489
Closed Access
A domain adaptation network with feature scale preservation for remaining useful life prediction of rolling bearings under variable operating conditions
Daoming She, Wang Hu, Hongfei Zhang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 4, pp. 046102-046102
Closed Access
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