Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Using regression models for predicting the product quality in a tubing extrusion process
Vicente García, J. Salvador Sánchez, Luis Alberto Rodríguez‐Picón, et al.
Journal of Intelligent Manufacturing (2018) Vol. 30, Iss. 6, pp. 2535-2544
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Artificial Intelligence Applied to Battery Research: Hype or Reality?
Teo Lombardo, Marc Duquesnoy, Hassna El-Bouysidy, et al.
Chemical Reviews (2021) Vol. 122, Iss. 12, pp. 10899-10969
Open Access | Times Cited: 311
Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Hasan Tercan, Tobias Meisen
Journal of Intelligent Manufacturing (2022) Vol. 33, Iss. 7, pp. 1879-1905
Open Access | Times Cited: 179
Data mining in battery production chains towards multi-criterial quality prediction
Sebastian Thiede, Artem Turetskyy, Arno Kwade, et al.
CIRP Annals (2019) Vol. 68, Iss. 1, pp. 463-466
Closed Access | Times Cited: 91
Towards Zero Defect Manufacturing paradigm: A review of the state-of-the-art methods and open challenges
Bianca Caiazzo, Mario Di Nardo, Teresa Murino, et al.
Computers in Industry (2021) Vol. 134, pp. 103548-103548
Closed Access | Times Cited: 66
A global survey on the current state of practice in Zero Defect Manufacturing and its impact on production performance
Giuseppe Fragapane, Ragnhild Eleftheriadis, Daryl Powell, et al.
Computers in Industry (2023) Vol. 148, pp. 103879-103879
Open Access | Times Cited: 31
A novel decision support system based on computational intelligence and machine learning: Towards zero-defect manufacturing in injection molding
Jiun-Shiung Lin, Kun‐Huang Chen
Journal of Industrial Information Integration (2024) Vol. 40, pp. 100621-100621
Open Access | Times Cited: 12
Data-driven prognostic method based on self-supervised learning approaches for fault detection
Tian Wang, Meina Qiao, Mingjie Zhang, et al.
Journal of Intelligent Manufacturing (2018) Vol. 31, Iss. 7, pp. 1611-1619
Closed Access | Times Cited: 76
Combining Simulation and Machine Learning as Digital Twin for the Manufacturing of Overmolded Thermoplastic Composites
André Hürkamp, Sebastian Gellrich, Tim Ossowski, et al.
Journal of Manufacturing and Materials Processing (2020) Vol. 4, Iss. 3, pp. 92-92
Open Access | Times Cited: 56
An IoT-based and cloud-assisted AI-driven monitoring platform for smart manufacturing: design architecture and experimental validation
Bianca Caiazzo, Teresa Murino, Alberto Petrillo, et al.
Journal of Manufacturing Technology Management (2022) Vol. 34, Iss. 4, pp. 507-534
Open Access | Times Cited: 31
Recurrent feature-incorporated convolutional neural network for virtual metrology of the chemical mechanical planarization process
Ki Bum Lee, Chang Ouk Kim
Journal of Intelligent Manufacturing (2018) Vol. 31, Iss. 1, pp. 73-86
Closed Access | Times Cited: 55
Demand forecasting application with regression and artificial intelligence methods in a construction machinery company
Adnan Aktepe, Emre Yanık, Süleyman Ersöz
Journal of Intelligent Manufacturing (2021) Vol. 32, Iss. 6, pp. 1587-1604
Closed Access | Times Cited: 38
Wafer map failure pattern recognition based on deep convolutional neural network
Shouhong Chen, Yuxuan Zhang, Xingna Hou, et al.
Expert Systems with Applications (2022) Vol. 209, pp. 118254-118254
Closed Access | Times Cited: 28
A multiphase information fusion strategy for data-driven quality prediction of industrial batch processes
Yan‐Ning Sun, Wei Qin, Hong‐Wei Xu, et al.
Information Sciences (2022) Vol. 608, pp. 81-95
Closed Access | Times Cited: 25
Deep generative model with time series-image encoding for manufacturing fault detection in die casting process
Jiyoung Song, Young Chul Lee, Jeongsu Lee
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 7, pp. 3001-3014
Closed Access | Times Cited: 24
Survey on AI Applications for Product Quality Control and Predictive Maintenance in Industry 4.0
Tojo Valisoa Andrianandrianina Johanesa, Lucas Equeter, Sidi Ahmed Mahmoudi
Electronics (2024) Vol. 13, Iss. 5, pp. 976-976
Open Access | Times Cited: 6
DMWMNet: A novel dual-branch multi-level convolutional network for high-performance mixed-type wafer map defect detection in semiconductor manufacturing
Xiangyan Zhang, Zhong Jiang, Hong Yang, et al.
Computers in Industry (2024) Vol. 161, pp. 104136-104136
Closed Access | Times Cited: 6
Quality monitoring in multistage manufacturing systems by using machine learning techniques
Mohamed Ismail, Noha A. Mostafa, Lamiaa Z. Mohamed
Journal of Intelligent Manufacturing (2021) Vol. 33, Iss. 8, pp. 2471-2486
Closed Access | Times Cited: 29
A cost-effective manufacturing process recognition approach based on deep transfer learning for CPS enabled shop-floor
Bufan Liu, Yingfeng Zhang, Jingxiang Lv, et al.
Robotics and Computer-Integrated Manufacturing (2021) Vol. 70, pp. 102128-102128
Closed Access | Times Cited: 28
Machine learning for intelligent welding and manufacturing systems: research progress and perspective review
Sachin Kumar, Vidit Gaur, Chuansong Wu
The International Journal of Advanced Manufacturing Technology (2022) Vol. 123, Iss. 11-12, pp. 3737-3765
Closed Access | Times Cited: 22
Survey on AI Applications for Product Quality Control and Predictive Maintenance in Industry 4.0
Tojo Valisoa Andrianandrianina Johanesa, Lucas Equeter, Sidi Ahmed Mahmoudi
(2024)
Open Access | Times Cited: 4
Machine Learning for Process Monitoring and Control of Hot-Melt Extrusion: Current State of the Art and Future Directions
Nimra Munir, Michael Nugent, Darren Whitaker, et al.
Pharmaceutics (2021) Vol. 13, Iss. 9, pp. 1432-1432
Open Access | Times Cited: 27
Relevance vector machine with tuning based on self-adaptive differential evolution approach for predictive modelling of a chemical process
Simone Massulini Acosta, Anderson Levati Amoroso, Angelo Marcio Oliveira Sant Anna, et al.
Applied Mathematical Modelling (2021) Vol. 95, pp. 125-142
Closed Access | Times Cited: 24
A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing
Jonas Wanner, Christopher Wissuchek, Giacomo Welsch, et al.
ACM SIGMIS Database the DATABASE for Advances in Information Systems (2023) Vol. 54, Iss. 1, pp. 11-45
Open Access | Times Cited: 10
Batch process quality prediction based on denoising autoencoder-spatial temporal convolutional attention mechanism fusion network
Yan Zhang, Jie Cao, Xiaoqiang Zhao, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Predictive quality analytics for the viscosity of water-based architectural paint manufacturing by using improved supervised machine learning and maximum dissimilarity algorithm
Robinson Barrionuevo, Diego Vallejo-Huanga, Paulina Morillo, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access
Page 1 - Next Page

Scroll to top