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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:

Uncertainty utilization in fault detection using Bayesian deep learning
Ahmed Maged, Min Xie
Journal of Manufacturing Systems (2022) Vol. 64, pp. 316-329
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Towards trustworthy rotating machinery fault diagnosis via attention uncertainty in transformer
Yiming Xiao, Haidong Shao, Minjie Feng, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 186-201
Open Access | Times Cited: 108
Online Fault Diagnosis of Industrial Robot Using IoRT and Hybrid Deep Learning Techniques: An Experimental Approach
Hazrat Bilal, Mohammad S. Obaidat, Muhammad Shamrooz Aslam, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 19, pp. 31422-31437
Closed Access | Times Cited: 14
Reliable fault diagnosis using evidential aggregated residual network under varying working conditions and noise interference
Hanting Zhou, Wenhe Chen, Peirui Qiao, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111407-111407
Closed Access | Times Cited: 4
On-machine inspection and compensation for thin-walled parts with sculptured surface considering cutting vibration and probe posture
Yanpeng Hao, Lida Zhu, Shaoqing Qin, et al.
International Journal of Extreme Manufacturing (2024) Vol. 6, Iss. 6, pp. 065602-065602
Open Access | Times Cited: 4
Handling data drift in deep learning-based quality monitoring: evaluating calibration methods using the example of friction stir welding
J. Bauer, Stephan Trattnig, Fabian Vieltorf, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
A learning-based approach to fault detection and fault-tolerant control of permanent magnet DC motors
Abolghasem Sardashti, Jamal Nazari
Journal of Engineering and Applied Science (2023) Vol. 70, Iss. 1
Open Access | Times Cited: 10
A literature review and future research agenda on fault detection and diagnosis studies in marine machinery systems
Muhittin Orhan, Metin Çelik
Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment (2023) Vol. 238, Iss. 1, pp. 3-21
Closed Access | Times Cited: 9
Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network
Hanting Zhou, Wenhe Chen, Jing Liu, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 7, pp. 3523-3542
Open Access | Times Cited: 9
Operation risk assessment of Flexible Manufacturing Networks subject to quality-reliability coupling
Xin Wang, Yongwei Ke, Zhiqiang Cai, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110282-110282
Closed Access | Times Cited: 2
A new metric for reliable diagnosis of rotating machines applied to a multi-fault rotor using Bayesian neural networks
Olympio Belli, Hélio Fiori de Castro
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 11
Closed Access | Times Cited: 2
A Parallel Ensemble Learning Model for Fault Detection and Diagnosis of Industrial Machinery
Mohammed Nasser Al-Andoli, Shing Chiang Tan, Kok Swee Sim, et al.
IEEE Access (2023) Vol. 11, pp. 39866-39878
Open Access | Times Cited: 6
A novel image feature based self-supervised learning model for effective quality inspection in additive manufacturing
Chun Fai Lui, Ahmed Maged, Min Xie
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 7, pp. 3543-3558
Closed Access | Times Cited: 6
RETRACTED: Fuzzy logic based on-line fault detection and classification method of substation equipment based on convolutional probabilistic neural network with discrete wavelet transform and fuzzy interference
Romany F. Mansour, Eatedal Alabdulkreem, Heba F. Eid, et al.
Optik (2022) Vol. 270, pp. 169956-169956
Closed Access | Times Cited: 8
A Probabilistic Bayesian Parallel Deep Learning Framework for Wind Turbine Bearing Fault Diagnosis
Liang Meng, Yuanhao Su, Xiaojia Kong, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7644-7644
Open Access | Times Cited: 8
Utilizing Bayesian generalization network for reliable fault diagnosis of machinery with limited data
Minjie Feng, Haidong Shao, Minghui Shao, et al.
Knowledge-Based Systems (2024) Vol. 305, pp. 112628-112628
Closed Access | Times Cited: 1
Machine learning methods for developments of binding kinetic models in predicting protein‐ligand dissociation rate constants
Yujing Zhao, Qilei Liu, Jian Du, et al.
Smart Molecules (2023) Vol. 1, Iss. 3
Open Access | Times Cited: 4
A Vibration Based Automatic Fault Detection Scheme for Drilling Process Using Type-2 Fuzzy Logic
Satyam Paul, R. J. Turnbull, Davood Khodadad, et al.
Algorithms (2022) Vol. 15, Iss. 8, pp. 284-284
Open Access | Times Cited: 7
Machine Learning Aided Six Sigma: Perspective and Practical Implementation
Ahmed Maged, Salah Haridy, Mahmoud Awad, et al.
IEEE Transactions on Engineering Management (2023) Vol. 71, pp. 1519-1530
Closed Access | Times Cited: 2
Scalable and Reliable Deep Transfer Learning for Intelligent Fault Detection Via Multi-Scale Neural Processes Embedded with Knowledge
Zhongzhi Li, Jingqi Tu, Jiacheng Zhu, et al.
(2024)
Open Access
Scalable and Reliable Deep Transfer Learning for Intelligent Fault Detection Via Multi-Scale Neural Processes Embedded with Knowledge
Zhongzhi Li, Jingqi Tu, Jiacheng Zhu, et al.
(2024)
Open Access
An Optimization-Based Sample Selection Method Considering Sample Redundancy and Usefulness
Feng Zhu, Jianshe Feng, Zicheng Su, et al.
Mechanisms and machine science (2024), pp. 1119-1129
Closed Access
Monte Carlo Simulation Via Visual Basic Application
İ. Şahin, Onur Mesut Şenaras, Arzu Eren Şenaras, et al.
Revista de Gestão Social e Ambiental (2024) Vol. 18, Iss. 10, pp. e09063-e09063
Open Access
Fault Detection and Fault Tolerant Control of Pressure System by Reinforcement Learning Approach
Maheshkumar S. Patil, Gajanan M. Malwatkar
(2024), pp. 1-6
Closed Access
Attentive Neural Processes Based on Reliable Inferences for Industrial Equipment Anomaly Detection
Yuhang Huang, B. Yang, Shilong Wang, et al.
(2024)
Closed Access
A Learning Based Technique for Sensor Fault Detection and Fault Tolerant Control
Maheshkumar S. Patil, Gajanan M. Malwatkar
(2024), pp. 1-6
Closed Access
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