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:
Cross-Domain Open-Set Fault Diagnosis Based on Target Domain Slanted Adversarial Network for Rotating Machinery
Zuqiang Su, Weilong Jiang, Yang Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 8
Zuqiang Su, Weilong Jiang, Yang Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 8
Showing 8 citing articles:
Learning to Imbalanced Open Set Generalize: A Meta-Learning Framework for Enhanced Mechanical Diagnosis
Changdong Wang, Shu Zhou, Jingli Yang, et al.
IEEE Transactions on Cybernetics (2025) Vol. 55, Iss. 3, pp. 1464-1475
Closed Access | Times Cited: 1
Changdong Wang, Shu Zhou, Jingli Yang, et al.
IEEE Transactions on Cybernetics (2025) Vol. 55, Iss. 3, pp. 1464-1475
Closed Access | Times Cited: 1
Time- and frequency-domain fusion for source-free adaptation fault diagnosis
Yu Gao, Z. Zhang, Bingquan Chen, et al.
Information Fusion (2025), pp. 102875-102875
Closed Access
Yu Gao, Z. Zhang, Bingquan Chen, et al.
Information Fusion (2025), pp. 102875-102875
Closed Access
FFKD-CGhostNet: A Novel Lightweight Network for Fault Diagnosis in Edge Computing Scenarios
Qingqing Huang, Yan Han, Xiaolong Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 11
Qingqing Huang, Yan Han, Xiaolong Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 11
Evidential Deep Learning-Based Adversarial Network for Universal Cross-Domain Fault Diagnosis of Rotary Machinery
Zuqiang Su, Weilong Jiang, Bo Zhang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 22823-22831
Closed Access | Times Cited: 7
Zuqiang Su, Weilong Jiang, Bo Zhang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 22823-22831
Closed Access | Times Cited: 7
Multi-adversarial deep transfer network for multi-source open-set fault diagnosis of rotating machinery with category shift
Zuqiang Su, Weilong Jiang, Kai Chen, et al.
Knowledge-Based Systems (2023) Vol. 282, pp. 111106-111106
Closed Access | Times Cited: 5
Zuqiang Su, Weilong Jiang, Kai Chen, et al.
Knowledge-Based Systems (2023) Vol. 282, pp. 111106-111106
Closed Access | Times Cited: 5
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Ali Saeed Khan
(2024)
Closed Access
Knowledge and Data Dual-Driven Fault Diagnosis in Industrial Scenarios: A Survey
Yimeng Wang, Jie Shen, Shusen Yang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 19256-19277
Closed Access
Yimeng Wang, Jie Shen, Shusen Yang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 19256-19277
Closed Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
