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:
Online porosity prediction in laser welding of aluminum alloys based on a multi-fidelity deep learning framework
Deyuan Ma, Ping Jiang, Leshi Shu, et al.
Journal of Intelligent Manufacturing (2022) Vol. 35, Iss. 1, pp. 55-73
Closed Access | Times Cited: 14
Deyuan Ma, Ping Jiang, Leshi Shu, et al.
Journal of Intelligent Manufacturing (2022) Vol. 35, Iss. 1, pp. 55-73
Closed Access | Times Cited: 14
Showing 14 citing articles:
Machine learning-based in-process monitoring for laser deep penetration welding: A survey
Rundong Lu, Ming Lou, Yu-Jun Xia, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109059-109059
Closed Access | Times Cited: 6
Rundong Lu, Ming Lou, Yu-Jun Xia, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109059-109059
Closed Access | Times Cited: 6
Data-driven investigation of pore formation mechanisms in laser welding of Al-Cu
Kyu‐Bok Lee, Teresa J. Rinker, Changbai Tan, et al.
Journal of Manufacturing Processes (2024) Vol. 124, pp. 998-1009
Closed Access | Times Cited: 5
Kyu‐Bok Lee, Teresa J. Rinker, Changbai Tan, et al.
Journal of Manufacturing Processes (2024) Vol. 124, pp. 998-1009
Closed Access | Times Cited: 5
Toward prediction and insight of porosity formation in laser welding: a physics-informed deep learning framework
Xiangmeng Meng, Marcel Bachmann, Fan Yang, et al.
Acta Materialia (2025), pp. 120740-120740
Open Access
Xiangmeng Meng, Marcel Bachmann, Fan Yang, et al.
Acta Materialia (2025), pp. 120740-120740
Open Access
Defect monitoring of high-power laser-arc hybrid welding process based on an improved channel attention convolutional neural network
Yue Qiu, Ping Jiang, Leshi Shu, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 4
Yue Qiu, Ping Jiang, Leshi Shu, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 4
Large scale foundation models for intelligent manufacturing applications: a survey
Haotian Zhang, Stuart Dereck Semujju, Zhicheng Wang, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
Haotian Zhang, Stuart Dereck Semujju, Zhicheng Wang, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
Recurrent Convolutional Neural Network Based Defect Detection in Submerged Arc Welding Processes
E. Suárez, Inés Pérez Couñago, Christian E. Precker, et al.
Lecture notes in mechanical engineering (2025), pp. 12-20
Open Access
E. Suárez, Inés Pérez Couñago, Christian E. Precker, et al.
Lecture notes in mechanical engineering (2025), pp. 12-20
Open Access
An Inhomogeneous Model for Laser Welding of Industrial Interest
Carmelo Filippo Munafó, Annunziata Palumbo, Mario Versaci
Mathematics (2023) Vol. 11, Iss. 15, pp. 3357-3357
Open Access | Times Cited: 10
Carmelo Filippo Munafó, Annunziata Palumbo, Mario Versaci
Mathematics (2023) Vol. 11, Iss. 15, pp. 3357-3357
Open Access | Times Cited: 10
Real-time tracking method for motion spatter in high-power laser welding of stainless steel plate based on a lightweight deep learning model
Wang Cai, Leshi Shu, Shaoning Geng, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124386-124386
Closed Access | Times Cited: 3
Wang Cai, Leshi Shu, Shaoning Geng, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124386-124386
Closed Access | Times Cited: 3
DBN-based online identification of porosity regions during laser welding of aluminum alloys using coherent optical diagnosis
Deyuan Ma, Ping Jiang, Leshi Shu, et al.
Optics & Laser Technology (2023) Vol. 165, pp. 109597-109597
Closed Access | Times Cited: 7
Deyuan Ma, Ping Jiang, Leshi Shu, et al.
Optics & Laser Technology (2023) Vol. 165, pp. 109597-109597
Closed Access | Times Cited: 7
Investigating the ability of deep learning to predict welding depth and pore volume in hairpin welding
Amena Darwish, Stefan Ericson, Rohollah Ghasemi, et al.
Journal of Laser Applications (2024) Vol. 36, Iss. 4
Closed Access | Times Cited: 2
Amena Darwish, Stefan Ericson, Rohollah Ghasemi, et al.
Journal of Laser Applications (2024) Vol. 36, Iss. 4
Closed Access | Times Cited: 2
Accelerating ultrashort pulse laser micromachining process comprehensive optimization using a machine learning cycle design strategy integrated with a physical model
Zhen Zhang, Zenan Yang, Chenchong Wang, et al.
Journal of Intelligent Manufacturing (2022)
Closed Access | Times Cited: 3
Zhen Zhang, Zenan Yang, Chenchong Wang, et al.
Journal of Intelligent Manufacturing (2022)
Closed Access | Times Cited: 3
Study on penetration depth in laser welding: A process information database-based control strategy and OCT measuring verification
Deyuan Ma, Yan Zhang, Leshi Shu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102825-102825
Closed Access
Deyuan Ma, Yan Zhang, Leshi Shu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102825-102825
Closed Access
Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Advanced Manufacturing
Yuxuan Li, Tianxin Xie, Chenang Liu, et al.
IISE Transactions (2024), pp. 1-19
Closed Access
Yuxuan Li, Tianxin Xie, Chenang Liu, et al.
IISE Transactions (2024), pp. 1-19
Closed Access
An Inhomogeneous Model for Laser Welding of Industrial Interest
Carmelo Filippo Munafó, Annunziata Palumbo, Mario Versaci
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Carmelo Filippo Munafó, Annunziata Palumbo, Mario Versaci
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
