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:
Machine learning-assisted pattern recognition algorithms for estimating ultimate tensile strength in fused deposition modelled polylactic acid specimens
Akshansh Mishra, Vijaykumar S. Jatti, Eyob Messele Sefene, et al.
Materials Technology (2023) Vol. 39, Iss. 1
Open Access | Times Cited: 8
Akshansh Mishra, Vijaykumar S. Jatti, Eyob Messele Sefene, et al.
Materials Technology (2023) Vol. 39, Iss. 1
Open Access | Times Cited: 8
Showing 8 citing articles:
Enhancing mechanical performance of MWCNT filler with jute/kenaf/glass composite: a statistical optimization study using RSM and ANN
S. Jothi Arunachalam, R. Saravanan, T. Sathish, et al.
Materials Technology (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 6
S. Jothi Arunachalam, R. Saravanan, T. Sathish, et al.
Materials Technology (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 6
An investigation of the ensemble machine learning techniques for predicting mechanical properties of printed parts in additive manufacturing
Jayanta Bhusan Deb, Shilpa Chowdhury, Nur Mohammad Ali
Decision Analytics Journal (2024) Vol. 12, pp. 100492-100492
Open Access | Times Cited: 5
Jayanta Bhusan Deb, Shilpa Chowdhury, Nur Mohammad Ali
Decision Analytics Journal (2024) Vol. 12, pp. 100492-100492
Open Access | Times Cited: 5
Explainable AI Techniques for Comprehensive Analysis of the Relationship between Process Parameters and Material Properties in FDM-Based 3D-Printed Biocomposites
Namrata G Kharate, Prashant Anerao, Atul Kulkarni, et al.
Journal of Manufacturing and Materials Processing (2024) Vol. 8, Iss. 4, pp. 171-171
Open Access | Times Cited: 5
Namrata G Kharate, Prashant Anerao, Atul Kulkarni, et al.
Journal of Manufacturing and Materials Processing (2024) Vol. 8, Iss. 4, pp. 171-171
Open Access | Times Cited: 5
Machine learning to enhance sustainable plastics: A review
Cátia Guarda, J. F. Caseiro, Ana Pires
Journal of Cleaner Production (2024) Vol. 474, pp. 143602-143602
Closed Access | Times Cited: 3
Cátia Guarda, J. F. Caseiro, Ana Pires
Journal of Cleaner Production (2024) Vol. 474, pp. 143602-143602
Closed Access | Times Cited: 3
Characterisation and prediction of mechanical properties in laser powder bed fusion-printed parts: a comparative analysis using machine learning
Naol Dessalegn Dejene, Hirpa G. Lemu
Materials Technology (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 3
Naol Dessalegn Dejene, Hirpa G. Lemu
Materials Technology (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 3
Machine learning classification applied to the effect of AFSD process parameters on tensile properties
Xiaohu Zhu, Rui Wang, Lin Wang, et al.
Materials Letters (2024) Vol. 377, pp. 137356-137356
Closed Access | Times Cited: 1
Xiaohu Zhu, Rui Wang, Lin Wang, et al.
Materials Letters (2024) Vol. 377, pp. 137356-137356
Closed 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: 1
Mohammad Hossein Nikzad, Mohammad Heidari‐Rarani, Reza Rasti, et al.
Expert Systems with Applications (2024), pp. 125836-125836
Closed Access | Times Cited: 1
Natural cellular structures in engineering designs built via additive manufacturing
Munashe Ignatius Chibinyani, Thywill Cephas Dzogbewu, Maina Maringa, et al.
Materials Technology (2024) Vol. 40, Iss. 1
Open Access
Munashe Ignatius Chibinyani, Thywill Cephas Dzogbewu, Maina Maringa, et al.
Materials Technology (2024) Vol. 40, Iss. 1
Open Access
