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 Data-Driven Maintenance Framework Under Imperfect Inspections for Deteriorating Systems Using Multitask Learning-Based Status Prognostics
Lei Zhang, Jianguo Zhang
IEEE Access (2020) Vol. 9, pp. 3616-3629
Open Access | Times Cited: 12
Lei Zhang, Jianguo Zhang
IEEE Access (2020) Vol. 9, pp. 3616-3629
Open Access | Times Cited: 12
Showing 12 citing articles:
A prognostic driven predictive maintenance framework based on Bayesian deep learning
Liangliang Zhuang, Ancha Xu, Xiaolin Wang
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109181-109181
Closed Access | Times Cited: 91
Liangliang Zhuang, Ancha Xu, Xiaolin Wang
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109181-109181
Closed Access | Times Cited: 91
Dynamic Predictive Maintenance Scheduling Using Deep Learning Ensemble for System Health Prognostics
Chuang Chen, Zheng Zhu, Jiantao Shi, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 23, pp. 26878-26891
Closed Access | Times Cited: 43
Chuang Chen, Zheng Zhu, Jiantao Shi, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 23, pp. 26878-26891
Closed Access | Times Cited: 43
An intelligent data-driven adaptive health state assessment approach for rolling bearings under single and multiple working conditions
Wenqin Zhao, Yaqiong Lv, C.K.M. Lee, et al.
Computers & Industrial Engineering (2025), pp. 110988-110988
Closed Access
Wenqin Zhao, Yaqiong Lv, C.K.M. Lee, et al.
Computers & Industrial Engineering (2025), pp. 110988-110988
Closed Access
Deep learning-based methods in structural reliability analysis: a review
Sajad Saraygord Afshari, Chuan Zhao, Xinchen Zhuang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 7, pp. 072001-072001
Open Access | Times Cited: 8
Sajad Saraygord Afshari, Chuan Zhao, Xinchen Zhuang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 7, pp. 072001-072001
Open Access | Times Cited: 8
Deep Auto-Encoder and Deep Forest-Assisted Failure Prognosis for Dynamic Predictive Maintenance Scheduling
Hui Yu, Chuang Chen, Ningyun Lu, et al.
Sensors (2021) Vol. 21, Iss. 24, pp. 8373-8373
Open Access | Times Cited: 9
Hui Yu, Chuang Chen, Ningyun Lu, et al.
Sensors (2021) Vol. 21, Iss. 24, pp. 8373-8373
Open Access | Times Cited: 9
Literature Review on Gravel Road Maintenance: Current State and Directions for Future Research
Keegan Mbiyana, Mirka Kans, Jaime Campos, et al.
Transportation Research Record Journal of the Transportation Research Board (2022) Vol. 2677, Iss. 5, pp. 506-522
Open Access | Times Cited: 6
Keegan Mbiyana, Mirka Kans, Jaime Campos, et al.
Transportation Research Record Journal of the Transportation Research Board (2022) Vol. 2677, Iss. 5, pp. 506-522
Open Access | Times Cited: 6
Real-Time Prognostics and Health Management Without Run-to-Failure Data on Railway Assets
Minoru Shimizu, Suresh Perinpanayagam, Bernadin Namoano, et al.
IEEE Access (2023) Vol. 11, pp. 28724-28734
Open Access | Times Cited: 2
Minoru Shimizu, Suresh Perinpanayagam, Bernadin Namoano, et al.
IEEE Access (2023) Vol. 11, pp. 28724-28734
Open Access | Times Cited: 2
Use of Digital Twins for the Technological Equipment Condition Monitoring
Irina Topolskaia, Veronica Pochinskaia, Julia Plaksina
2022 International Russian Automation Conference (RusAutoCon) (2023) Vol. 1, pp. 675-679
Closed Access | Times Cited: 2
Irina Topolskaia, Veronica Pochinskaia, Julia Plaksina
2022 International Russian Automation Conference (RusAutoCon) (2023) Vol. 1, pp. 675-679
Closed Access | Times Cited: 2
MMoE-GAT: A Multi-Gate Mixture-of-Experts Boosted Graph Attention Network for Aircraft Engine Remaining Useful Life Prediction
Lu Liu, Xiao Song, Bingli Sun, et al.
Communications in computer and information science (2023), pp. 451-465
Closed Access | Times Cited: 2
Lu Liu, Xiao Song, Bingli Sun, et al.
Communications in computer and information science (2023), pp. 451-465
Closed Access | Times Cited: 2
A data-driven approach for gravel road maintenance
Keegan Mbiyana, Mirka Kans, Jaime Campos
(2021), pp. 1-6
Closed Access | Times Cited: 5
Keegan Mbiyana, Mirka Kans, Jaime Campos
(2021), pp. 1-6
Closed Access | Times Cited: 5
Single- and multi-task linear models for ATMs fault classification in human-centered predictive maintenance
Riccardo Rosati, Luca Romeo, Adriano Mancini
Computers & Industrial Engineering (2024), pp. 110763-110763
Open Access
Riccardo Rosati, Luca Romeo, Adriano Mancini
Computers & Industrial Engineering (2024), pp. 110763-110763
Open Access
Labeling Degraded Full Operation Cycle Data with 2nd-Level Relaxation Clustering
Zhouzheng Li, Yuan Xiao, Yezheng Li, et al.
2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing) (2021), pp. 1-7
Closed Access | Times Cited: 2
Zhouzheng Li, Yuan Xiao, Yezheng Li, et al.
2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing) (2021), pp. 1-7
Closed Access | Times Cited: 2
