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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.

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Showing 26-50 of 61 citing articles:

Industrial AI and predictive analytics for smart manufacturing systems
Jay Lee, Jaskaran Singh, Moslem Azamfar, et al.
Smart Manufacturing (2020), pp. 213-244
Closed Access | Times Cited: 22
Stamping Monitoring by Using an Adaptive 1D Convolutional Neural Network
Chih-Yung Huang, Zaky Dzulfikri
Sensors (2021) Vol. 21, Iss. 1, pp. 262-262
Open Access | Times Cited: 18
A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis—Part III: Model Training and Fault Detection
Chung-Yu Tai, Yusuf Altintaş
Journal of Manufacturing Science and Engineering (2024) Vol. 146, Iss. 8
Closed Access | Times Cited: 2
A multiscale convolution neural network for bearing fault diagnosis based on frequency division denoising under complex noise conditions
Youming Wang, Gongqing Cao
Complex & Intelligent Systems (2022) Vol. 9, Iss. 4, pp. 4263-4285
Open Access | Times Cited: 10
Tool condition monitoring method by anomaly segmentation of time-frequency images using acoustic emission in small hole drilling
Taro Nakano, Hiroshi Koresawa, Hiroyuki Narahara
Journal of Advanced Mechanical Design Systems and Manufacturing (2023) Vol. 17, Iss. 3, pp. JAMDSM0034-JAMDSM0034
Open Access | Times Cited: 6
An explainable unsupervised learning framework for scalable machine fault detection in Industry 4.0
Supriya Asutkar, Siddharth Tallur
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105123-105123
Closed Access | Times Cited: 6
Enhancing Intelligent Cross-Domain Fault Diagnosis Performance on Rotating Machines with Noisy Health Labels
Abhijeet Ainapure, Xiang Li, Jaskaran Singh, et al.
Procedia Manufacturing (2020) Vol. 48, pp. 940-946
Open Access | Times Cited: 13
Intelligent Rolling Bearing Fault Diagnosis Method Using Symmetrized Dot Pattern Images and CBAM-DRN
Wei Cui, Guoying Meng, Tingxi Gou, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9954-9954
Open Access | Times Cited: 8
Classifying Multivariate Signals in Rolling Bearing Fault Detection Using Adaptive Wide-Kernel CNNs
Jurgen van den Hoogen, Stefan Bloemheuvel, Martin Atzmueller
Applied Sciences (2021) Vol. 11, Iss. 23, pp. 11429-11429
Open Access | Times Cited: 10
Bearing fault diagnosis using a speed-adaptive network based on vibro-speed data fusion and majority voting
Zonghao Yuan, Zengqiang Ma, Xin Li, et al.
Measurement Science and Technology (2021) Vol. 33, Iss. 5, pp. 055112-055112
Closed Access | Times Cited: 10
Rolling element bearing fault diagnosis using supervised learning methods- artificial neural network and discriminant classifier
Swapnil Gundewar, Prasad V. Kane
International Journal of Systems Assurance Engineering and Management (2022) Vol. 13, Iss. 6, pp. 2876-2894
Closed Access | Times Cited: 7
Automating Predictive Maintenance Using State-Based Transfer Learning and Ensemble Methods
Justin Larocque-Villiers, Patrick Dumond, David Knox
(2021), pp. 1-7
Closed Access | Times Cited: 9
Exploring the Relationship between Preprocessing and Hyperparameter Tuning for Vibration-Based Machine Fault Diagnosis Using CNNs
Jacob Hendriks, Patrick Dumond
Vibration (2021) Vol. 4, Iss. 2, pp. 284-309
Open Access | Times Cited: 8
Degradation Pattern of High Speed Roller Bearings Using a Data-Driven Deep Learning Approach
Maan Singh Rathore, S. P. Harsha
Journal of Signal Processing Systems (2022) Vol. 94, Iss. 12, pp. 1557-1568
Closed Access | Times Cited: 5
Convolutional Neural Networks Based Rolling Bearing Fault Classification Under Variable Operating Conditions
Fatih Karpat, Onur Can Kalay, Ahmet Emir Dirik, et al.
2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (2021), pp. 1-6
Closed Access | Times Cited: 7
Edge Analytics for Bearing Fault Diagnosis Based on Convolution Neural Network
Valentin Perminov, Vladislav Ermakov, Dmitry Korzun
Frontiers in artificial intelligence and applications (2021)
Open Access | Times Cited: 6
Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study
Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, et al.
International Journal of Data Science and Analytics (2023) Vol. 18, Iss. 4, pp. 423-444
Open Access | Times Cited: 2
Analysis of Smart Manufacturing Technologies for Industry Using AI Methods
Deepak Kumar Verma
Türk bilgisayar ve matematik eğitimi dergisi (2018) Vol. 9, Iss. 2, pp. 529-540
Open Access | Times Cited: 4
Classification of Multistates of Internal Damage in Concrete Based on Convolutional Neural Network Analysis of Time-Frequency Images
Shang Gao, Jun Chen
Journal of Performance of Constructed Facilities (2022) Vol. 36, Iss. 6
Closed Access | Times Cited: 3
Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters
Jurgen van den Hoogen, Dan Hudson, Martin Atzmueller
(2024) Vol. 27, pp. 91-95
Closed Access
Leveraging systems’ non-linearity to tackle the scarcity of data in the design of intelligent fault diagnosis systems
Giancarlo Santamato, Andrea Mattia Garavagno, Massimiliano Solazzi, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 18, pp. 16153-16166
Open Access
An Equipment Anomaly Diagnosis Method Based on Deep Learning
Mingshu Ren, Qiong Jiang, Chengyi Zhou, et al.
Journal of Circuits Systems and Computers (2024)
Closed Access
Stay Tuned! Analysing Hyperparameters of a Wide-Kernel Architecture for Industrial Faults
Dan Hudson, Jurgen van den Hoogen, Stefan Bloemheuvel, et al.
(2024), pp. 1350-1356
Closed Access
Knowledge graph-based recommendation with knowledge noise reduction and data augmentation
Zhisheng Yang, Li Li
Applied Intelligence (2024) Vol. 54, Iss. 21, pp. 10333-10359
Closed Access
Bearing Fault Diagnosis with a Hybrid CWT-ResNet-LSTM Model
Boubker Najdi, Mohammed Benbrahim, Mohammed Nabil Kabbaj
Lecture notes in networks and systems (2024), pp. 454-463
Closed Access

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