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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:

Model-free adaptive iterative learning control of melt pool width in wire arc additive manufacturing
Chunyang Xia, Zengxi Pan, Shiyu Zhang, et al.
The International Journal of Advanced Manufacturing Technology (2020) Vol. 110, Iss. 7-8, pp. 2131-2142
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Toward a smart wire arc additive manufacturing system: A review on current developments and a framework of digital twin
Haochen Mu, Fengyang He, Lei Yuan, et al.
Journal of Manufacturing Systems (2023) Vol. 67, pp. 174-189
Closed Access | Times Cited: 62
The state-of-the-art of wire arc directed energy deposition (WA-DED) as an additive manufacturing process for large metallic component manufacture
Sam C.A. Costello, Chloe Cunningham, Fangda Xu, et al.
International Journal of Computer Integrated Manufacturing (2023) Vol. 36, Iss. 3, pp. 469-510
Open Access | Times Cited: 42
Monitoring and control the Wire Arc Additive Manufacturing process using artificial intelligence techniques: a review
Giulio Mattera, Luigi Nele, Davide Paolella
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 2, pp. 467-497
Closed Access | Times Cited: 41
Machine learning-assisted in-situ adaptive strategies for the control of defects and anomalies in metal additive manufacturing
Dayalan Gunasegaram, Amanda S. Barnard, Manyalibo J. Matthews, et al.
Additive manufacturing (2024) Vol. 81, pp. 104013-104013
Open Access | Times Cited: 31
Recent developments in the application of machine-learning towards accelerated predictive multiscale design and additive manufacturing
Sandeep Suresh Babu, Abdel‐Hamid I. Mourad, Khalifa H. Harib, et al.
Virtual and Physical Prototyping (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 44
A critical review on applications of artificial intelligence in manufacturing
Omkar Mypati, Avishek Mukherjee, Debasish Mishra, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 661-768
Closed Access | Times Cited: 28
Cognitive intelligence in industrial robots and manufacturing
Avishek Mukherjee, A Divya, M. Sivvani, et al.
Computers & Industrial Engineering (2024) Vol. 191, pp. 110106-110106
Closed Access | Times Cited: 10
Wire arc additive manufacturing of invar parts: Bead geometry and melt pool monitoring
Fernando Veiga, Alfredo Suárez, Eider Aldalur, et al.
Measurement (2021) Vol. 189, pp. 110452-110452
Closed Access | Times Cited: 53
Improvement strategy for the geometric accuracy of bead’s beginning and end parts in wire-arc additive manufacturing (WAAM)
Zeya Wang, Sandra Zimmer-Chevret, François Léonard, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 118, Iss. 7-8, pp. 2139-2151
Closed Access | Times Cited: 41
Applying machine learning to wire arc additive manufacturing: a systematic data-driven literature review
Abderrachid Hamrani, Arvind Agarwal, A. Allouhi, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2407-2439
Closed Access | Times Cited: 17
Real-time in-process control methods of process parameters for additive manufacturing
Sanglae Kim, Eui-Hyuk Kim, Wonhee Lee, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 1067-1090
Closed Access | Times Cited: 7
Topology optimisation for large-scale additive manufacturing: generating designs tailored to the deposition nozzle size
Eduardo Fernández, Can Ayas, Matthijs Langelaar, et al.
Virtual and Physical Prototyping (2021) Vol. 16, Iss. 2, pp. 196-220
Open Access | Times Cited: 33
Deep Neural Networks for Defects Detection in Gas Metal Arc Welding
Luigi Nele, Giulio Mattera, Mario Vozza
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3615-3615
Open Access | Times Cited: 23
Advances in Robotic Welding for Metallic Materials: Application of Inspection, Modeling, Monitoring and Automation Techniques
David Curiel, Fernando Veiga, Alfredo Suárez, et al.
Metals (2023) Vol. 13, Iss. 4, pp. 711-711
Open Access | Times Cited: 11
A comparative study of machine learning algorithms in the prediction of bead geometry in wire-arc additive manufacturing
Mukesh Chandra, K. E. K. Vimal, Sonu Rajak
International Journal on Interactive Design and Manufacturing (IJIDeM) (2023) Vol. 18, Iss. 9, pp. 6625-6638
Closed Access | Times Cited: 11
Novel on-site layer dimensioning and deep learning-enabled predictive modelling for wire arc additive manufacturing
Srihari Chitral, Bhargav Sri Sai Nama, P. S. Saikrishna, et al.
Progress in Additive Manufacturing (2025)
Closed Access
Deep learning-based framework for the observation of real-time melt pool and detection of anomaly in wire-arc additive manufacturing
Mukesh Chandra, Sonu Rajak, Vimal K.E.K
Materials and Manufacturing Processes (2023) Vol. 39, Iss. 6, pp. 761-777
Closed Access | Times Cited: 9
Towards a general and numerically efficient deposition model for wire-arc directed energy deposition
Magnus Glasder, Maicol Fabbri, Ivo Aschwanden, et al.
Additive manufacturing (2023) Vol. 78, pp. 103832-103832
Open Access | Times Cited: 9
Part orientation optimization for Wire and Arc Additive Manufacturing process for convex and non-convex shapes
Yazan Alomari, Márton Tamás Birosz, Mátyás Andó
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Automated process planning for conformal wire arc additive manufacturing
Prahar M. Bhatt, Ashish Kulkarni, Alec Kanyuck, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 119, Iss. 5-6, pp. 3545-3570
Closed Access | Times Cited: 11
Online modeling and prediction of weld bead geometry in robotic gas metal arc based additive manufacturing using grey prediction model
K. Venkata Rao
Expert Systems with Applications (2023) Vol. 236, pp. 121284-121284
Closed Access | Times Cited: 6
Height control in GMA-AM using external wire as controlling variable
Yiyang Zhang, Jun Xiong, Dayong Li, et al.
Materials and Manufacturing Processes (2022) Vol. 38, Iss. 8, pp. 971-979
Closed Access | Times Cited: 10
Effects of path patterns on residual stresses and deformations of directed energy deposition-arc built blocks
Donghong Ding, Rong Huang, Tao Liu, et al.
Virtual and Physical Prototyping (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 4
Coordinate system setting for post-machining of impeller shape by wire arc DED and evaluation of processing efficiency
Hwi Jun Son, Bo Wook Seo, Chang Jong Kim, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A new adaptive process control scheme for efficient wire arc additive manufacturing of thin-walled SS308L component
Soma Banerjee, Amrit Raj Paul, Manidipto Mukherjee, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 121, Iss. 11-12, pp. 8099-8113
Closed Access | Times Cited: 6
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