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:
Multiscale Channel Attention-Driven Graph Dynamic Fusion Learning Method for Robust Fault Diagnosis
Xin Zhang, Jie Liu, Xi Zhang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 9, pp. 11002-11013
Closed Access | Times Cited: 8
Xin Zhang, Jie Liu, Xi Zhang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 9, pp. 11002-11013
Closed Access | Times Cited: 8
Showing 8 citing articles:
A roadmap to fault diagnosis of industrial machines via machine learning: A brief review
Govind Vashishtha, Sumika Chauhan, Mert Sehri, et al.
Measurement (2024) Vol. 242, pp. 116216-116216
Closed Access | Times Cited: 9
Govind Vashishtha, Sumika Chauhan, Mert Sehri, et al.
Measurement (2024) Vol. 242, pp. 116216-116216
Closed Access | Times Cited: 9
Multi-source domain self-supervised enhanced transfer fault diagnosis approach with source sample refinement strategy
Xinyu Ren, Wanli Zhao, Mengmeng Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110380-110380
Closed Access | Times Cited: 4
Xinyu Ren, Wanli Zhao, Mengmeng Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110380-110380
Closed Access | Times Cited: 4
A multi-scale deep feature memory and recovery network for multi-sensor fault diagnosis in the channel missing scenario
Tianao Zhang, Li Jiang, Jie Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110228-110228
Closed Access
Tianao Zhang, Li Jiang, Jie Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110228-110228
Closed Access
Self-supervised graph feature enhancement and scale attention for mechanical signal node-level representation and diagnosis
Xin Zhang, Jie Liu, Xi Zhang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103197-103197
Closed Access
Xin Zhang, Jie Liu, Xi Zhang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103197-103197
Closed Access
Fault diagnosis of rolling bearing based on adaptive attention network and federated learning
Bowen Zheng, Dinghui Wu, Junyan Fan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116204-116204
Closed Access
Bowen Zheng, Dinghui Wu, Junyan Fan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116204-116204
Closed Access
Two-stage method for optimizing irregularity state of ballastless tracks in high-speed railways
Ze Li, Yangtenglong Li, Ping Wang, et al.
Measurement (2024), pp. 116506-116506
Closed Access
Ze Li, Yangtenglong Li, Ping Wang, et al.
Measurement (2024), pp. 116506-116506
Closed Access
Fault diagnosis of rotating machinery using a signal processing technique and lightweight model based on mechanical structural characteristics
Maodong Niu, Shangjun Ma, Haifeng Zhu, et al.
Measurement (2024), pp. 116505-116505
Closed Access
Maodong Niu, Shangjun Ma, Haifeng Zhu, et al.
Measurement (2024), pp. 116505-116505
Closed Access
A novel dual networks-guided self-assessment framework for bearings fault mode diagnosis considering early fault feature diversity
Zejian Li, De-Jun Cheng, Xiaoyan Li, et al.
Expert Systems with Applications (2024), pp. 126347-126347
Closed Access
Zejian Li, De-Jun Cheng, Xiaoyan Li, et al.
Expert Systems with Applications (2024), pp. 126347-126347
Closed Access
