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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:

Artificial Neural Network Performance Modeling and Evaluation of Additive Manufacturing 3D Printed Parts
Sivarao Subramonian, K. Kadirgama, Abdulkareem Sh. Mahdi Al‐Obaidi, et al.
Engineering Technology & Applied Science Research (2023) Vol. 13, Iss. 5, pp. 11677-11684
Open Access | Times Cited: 12

Showing 12 citing articles:

A Study on the Influence of FDM Parameters on the Tensile Behavior of Samples made of PET-G
Dragoș Gabriel Zisopol, Mihail Minescu, Dragos Valentin Iacob
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 2, pp. 13487-13492
Open Access | Times Cited: 10
Technical-Economical Study on the Optimization of FDM Parameters for the Manufacture of PETG and ASA Parts
Dragos Valentin Iacob, Dragoș Gabriel Zisopol, Mihail Minescu
Polymers (2024) Vol. 16, Iss. 16, pp. 2260-2260
Open Access | Times Cited: 10
A comparative review of multi-axis 3D printing
Yuan Yao, Longyu Cheng, Zhengyu Li
Journal of Manufacturing Processes (2024) Vol. 120, pp. 1002-1022
Closed Access | Times Cited: 9
A Technical–Economic Study on Optimizing FDM Parameters to Manufacture Pieces Using Recycled PETG and ASA Materials in the Context of the Circular Economy Transition
Dragoș Gabriel Zisopol, Mihail Minescu, Dragos Valentin Iacob
Polymers (2025) Vol. 17, Iss. 1, pp. 122-122
Open Access | Times Cited: 1
Machine learning-driven prediction of tensile strength in 3D-printed PLA parts
Mohammad Hossein Nikzad, Mohammad Heidari‐Rarani, Reza Rasti, et al.
Expert Systems with Applications (2024), pp. 125836-125836
Closed Access | Times Cited: 5
A Study on the Influence of FDM Parameters on the Tensile Behavior of Samples made of ASA
Dragoș Gabriel Zisopol, Mihail Minescu, Dragos Valentin Iacob
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 15975-15980
Open Access | Times Cited: 4
Role of artificial intelligence in data-centric additive manufacturing processes for biomedical applications
Saman Mohammadnabi, Nima Moslemy, Hadi Taghvaei, et al.
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials (2025) Vol. 166, pp. 106949-106949
Closed Access
Enhancing 3D Printing Workflows through Multi-Objective Optimization and Reinforcement Learning Techniques
Ali Alghamdi
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 2, pp. 21300-21305
Open Access
A novel systematically optimized tabular neural network (TabNet) algorithm for predicting the tensile modulus of additively manufactured PLA parts
Mohammad Hossein Nikzad, Mohammad Heidari‐Rarani, Reza Rasti
Materials Today Communications (2024) Vol. 41, pp. 110442-110442
Closed Access | Times Cited: 3
Technical-Economical Study on the Optimization of FDM Parameters for the Manufacture of PETG and ASA Parts
Dragos Valentin Iacob, Dragoș Gabriel Zisopol, Mihail Minescu
(2024)
Open Access | Times Cited: 2
Predicting the tensile properties of wood plastic composites using material extrusion with meta-based Few-Shot learning
Zhuo Zeng, Yan Zhou, Shifeng Wen, et al.
Composites Part A Applied Science and Manufacturing (2024), pp. 108671-108671
Closed Access | Times Cited: 2
Long-short-term memory (LSTM)-based modeling of the stiffness of 3D-printed PLA parts
Mohammad Hossein Nikzad, Mohammad Heidari‐Rarani, Reza Rasti
Materials Letters (2024) Vol. 379, pp. 137636-137636
Closed Access | Times Cited: 1
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