Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Multi-objective optimization of binder jet additive manufacturing of Co-Cr-Mo using machine learning
Recep Önler, Ahmet Selim Koca, Baris Kirim, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 119, Iss. 1-2, pp. 1091-1108
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption
Yaozhong Wu, Jianguang Fang, Chi Wu, et al.
International Journal of Mechanical Sciences (2023) Vol. 246, pp. 108102-108102
Closed Access | Times Cited: 228
Big data, machine learning, and digital twin assisted additive manufacturing: A review
Liuchao Jin, Xiaoya Zhai, Kang Wang, et al.
Materials & Design (2024) Vol. 244, pp. 113086-113086
Open Access | Times Cited: 47
Human-Centered and Sustainable Artificial Intelligence in Industry 5.0: Challenges and Perspectives
Barbara Martini, Denise Bellisario, Paola Coletti
Sustainability (2024) Vol. 16, Iss. 13, pp. 5448-5448
Open Access | Times Cited: 37
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 | Times Cited: 2
When AI meets additive manufacturing: Challenges and emerging opportunities for human-centered products development
Chenang Liu, Wenmeng Tian, Chen Kan
Journal of Manufacturing Systems (2022) Vol. 64, pp. 648-656
Open Access | Times Cited: 56
Machine Learning in Manufacturing towards Industry 4.0: From ‘For Now’ to ‘Four-Know’
Tingting Chen, Vignesh Sampath, Marvin Carl May, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1903-1903
Open Access | Times Cited: 37
Review of the types, formation mechanisms, effects, and elimination methods of binder jetting 3D-printing defects
Kunlong Zhao, Zhenhua Su, Zhijie Ye, et al.
Journal of Materials Research and Technology (2023) Vol. 27, pp. 5449-5469
Open Access | Times Cited: 25
Review on the 3D printing technology and application of magnetic materials: Material-Process-Structure-Application
Haorui Zhai, Xiaodong Li, Shuzhou Yu, et al.
Composites Part B Engineering (2025), pp. 112387-112387
Closed Access | Times Cited: 1
Application of machine learning in polymer additive manufacturing: A review
Tahamina Nasrin, Farhad Pourkamali‐Anaraki, Amy M. Peterson
Journal of Polymer Science (2023) Vol. 62, Iss. 12, pp. 2639-2669
Open Access | Times Cited: 22
The Challenges and Advances in Recycling/Re-Using Powder for Metal 3D Printing: A Comprehensive Review
Alex Lanzutti, Elia Marin
Metals (2024) Vol. 14, Iss. 8, pp. 886-886
Open Access | Times Cited: 5
Enhancing Quality Control: Image-Based Quantification of Carbides and Defect Remediation in Binder Jetting Additive Manufacturing
Amit Choudhari, James Elder, Manoj Mugale, et al.
Materials (2024) Vol. 17, Iss. 10, pp. 2174-2174
Open Access | Times Cited: 4
Printing parameters Optimization assisted by Machine Learning and Sintering behavior of Binder Jetting 3D printed 2024Al alloy
Yuhang Qian, Xia Luo, Qirong Wei, et al.
Journal of Materials Research and Technology (2025)
Open Access
Design challenges in leveraging binder jetting technology to innovate the medical instrument field
Lorenzo Cocchi, Marco Mariani, Serena Graziosi, et al.
Proceedings of the Design Society (2024) Vol. 4, pp. 1737-1746
Open Access | Times Cited: 3
Multi-objective process parameters optimization of Ti-6Al-4V LPBF parts through a hybrid prediction–optimization approach
António Costa, Dina Palmeri, Gaetano Pollara, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
Structure-property relationships of differently heat-treated binder jet printed Co-Cr-Mo biomaterial
Meisam Khademitab, Pierangeli Rodriguez De Vecchis, Paulina Staszel, et al.
Materials Today Communications (2023) Vol. 38, pp. 107716-107716
Closed Access | Times Cited: 8
Review of Process–Structure–Property Relationships in Metals Fabricated Using Binder Jet Additive Manufacturing
Nancy Huang, Olivia J. Cook, Andrea P. Argüelles, et al.
Metallography Microstructure and Analysis (2023) Vol. 12, Iss. 6, pp. 883-905
Closed Access | Times Cited: 7
Application of artificial intelligence in additive manufacturing
Sungmo Gu, Min-Hyeok Choi, Hwijae Park, et al.
JMST Advances (2023) Vol. 5, Iss. 4, pp. 93-104
Open Access | Times Cited: 6
Machine Learning-Enabled Quantitative Analysis of Optically Obscure Scratches on Nickel-Plated Additively Manufactured (AM) Samples
Betelhiem N. Mengesha, Andrew Grizzle, Wondwosen Demisse, et al.
Materials (2023) Vol. 16, Iss. 18, pp. 6301-6301
Open Access | Times Cited: 4
Machine learning approach for process optimization of black nickel electroplating
Yajuan Sun, Yong Teck Tan, Yang Zhao, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 135, Iss. 9-10, pp. 4715-4730
Closed Access | Times Cited: 1
An insight into adiabatic efficiency hybrid modeling in Laser-Based Powder Bed Fusion of 316L stainless steel
Iván La Fé-Perdomo, Jorge Ramos‐Grez
Optics & Laser Technology (2023) Vol. 161, pp. 109203-109203
Closed Access | Times Cited: 3
Multiple clearance robustness optimization of a chain ramming machine based on a data-driven model
Yong Li, Linfang Qian, Guangsong Chen, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 15, pp. 13807-13828
Closed Access | Times Cited: 3
A Review of Process Optimization for Additive Manufacturing Based on Machine Learning
Xiaoya Zhai null, Falai Chen
Annals of Applied Mathematics (2023) Vol. 39, Iss. 4, pp. 493-543
Open Access | Times Cited: 2
Mathematical Modeling of Multi-Performance Metrics and Process Parameter Optimization in Laser Powder Bed Fusion
Hind Abdulla, Heungjo An, Imad Barsoum, et al.
Metals (2022) Vol. 12, Iss. 12, pp. 2098-2098
Open Access | Times Cited: 4
Machine Learning Approach for Process Optimization of Black Nickel Electroplating
Yajuan Sun, Yong Teck Tan, Yang Zhao, et al.
Research Square (Research Square) (2024)
Open Access
Evaluating the sintering behaviors of ceramic oxide powders processed via binder jet additive manufacturing
Edgar Mendoza Jimenez, Bashu Aman, Olivia Ehrman, et al.
International Journal of Ceramic Engineering & Science (2024) Vol. 6, Iss. 6
Open Access
Page 1 - Next Page

Scroll to top