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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:

PolyJet 3D printing: Predicting color by multilayer perceptron neural network
Xingjian Wei, Na Zou, Li Zeng, et al.
Annals of 3D Printed Medicine (2022) Vol. 5, pp. 100049-100049
Open Access | Times Cited: 14

Showing 14 citing articles:

Prediction of CO2 solubility in water at high pressure and temperature via deep learning and response surface methodology
Zohreh Khoshraftar, Ahad Ghaemi
Case Studies in Chemical and Environmental Engineering (2023) Vol. 7, pp. 100338-100338
Open Access | Times Cited: 27
Comprehensive investigation of isotherm, RSM, and ANN modeling of CO2 capture by multi-walled carbon nanotube
Zohreh Khoshraftar, Ahad Ghaemi, Alireza Hemmati
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
The Role of 3D Printing Technologies in Soft Grippers
Yangyang Xin, Xinran Zhou, Hyunwoo Bark, et al.
Advanced Materials (2023) Vol. 36, Iss. 34
Open Access | Times Cited: 18
Backpropagation Neural Network model with statistical inference in manufacturing processes
Homero de León-Delgado, Rolando J. Praga-Alejo, David S. González-González
Journal of Industrial Information Integration (2025), pp. 100783-100783
Closed Access
A Comprehensive Study on Additive Manufacturing Techniques, Machine Learning Integration, and Internet of Things-Driven Sustainability Opportunities
Santosh Kumar, Rakesh Kumar
Journal of Materials Engineering and Performance (2025)
Closed Access
Color appearance in rotational material jetting
Ali Payami Golhin, Aditya Suneel Sole, A. Strandlie
The International Journal of Advanced Manufacturing Technology (2022) Vol. 124, Iss. 3-4, pp. 1183-1198
Open Access | Times Cited: 12
Prediction of ultimate tensile strength of friction stir welding joint using deep learning-based-multilayer perceptron and long short term memory networks
Ujjaval Modi, Shuja Ahmed, Akhand Rai
Welding International (2023) Vol. 37, Iss. 7, pp. 387-399
Closed Access | Times Cited: 6
A COMPARATIVE STUDY ON PERFORMANCE OF BASIC AND ENSEMBLE CLASSIFIERS WITH VARIOUS DATASETS
Gunakala Archana, Afzal Hussain Shahid
Applied Computer Science (2023) Vol. 19, Iss. 1, pp. 107-132
Open Access | Times Cited: 4
Using the Experimental Cross-Association Energy and Artificial Neural Network for Modeling the Phase Equilibrium of Carbon Dioxide–Water System: What Advances Can Be Achieved?
Zahra Rahmani, Ehsan Davani, Shahin Khosharay
International Journal of Thermophysics (2024) Vol. 45, Iss. 2
Closed Access | Times Cited: 1
Hybrid learning integration of iterative weighted least squares and backpropagation neural networks for advanced manufacturing analysis
Homero de León-Delgado, David S. González-González, Gerardo Daniel Olvera-Romero, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 134, Iss. 3-4, pp. 1751-1765
Closed Access | Times Cited: 1
Color prediction model for 3D printing based on multi-layer BP neural network
Zhang Zong-yun, Zhuwei Shao, Xiaozhou Li, et al.
(2024), pp. 99-99
Closed Access
Research on color prediction model based on radial basis function neural network for 3D printing
Zhuwei Shao, zongyun Zhang, Mengyao Wang, et al.
(2024), pp. 65-65
Closed Access
Accessibility of Braille Texts for the Visually Impaired Produced with Different 3D Printing Technologies
Mira Tzvetkova‐Arsova, Margarita Tomova, Nikolay Stoimenov, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 3, pp. 50-54
Open Access
Current state of research in the field of 3D printing device designs using photopolymer composites (review)
E. S. Bochkaryov, I. S. Torubarov, Y. M. Mkrtchyan, et al.
Plasticheskie massy (2024), Iss. 5, pp. 42-48
Open Access
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