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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:

Metal AM process-structure-property relational linkages using Gaussian process surrogates
Robert N. Saunders, Kirubel Teferra, Alaa Elwany, et al.
Additive manufacturing (2023) Vol. 62, pp. 103398-103398
Open Access | Times Cited: 23

Showing 23 citing articles:

Revolutionizing manufacturing: A comprehensive overview of additive manufacturing processes, materials, developments, and challenges
Kumar Kanishka, Bappa Acherjee
Journal of Manufacturing Processes (2023) Vol. 107, pp. 574-619
Closed Access | Times Cited: 104
State-of-the-art review on fused deposition modeling (FDM) for 3D printing of polymer blends and composites: innovations, challenges, and applications
Shafahat Ali, Ibrahim Deiab, Salman Pervaiz
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 10
Roadmap on data-centric materials science
Sebastian Bauer, Peter Benner, Tristan Bereau, et al.
Modelling and Simulation in Materials Science and Engineering (2024) Vol. 32, Iss. 6, pp. 063301-063301
Open Access | Times Cited: 8
Machine learning-based identification of interpretable process-structure linkages in metal additive manufacturing
Marc Ackermann, Christian Haase
Additive manufacturing (2023) Vol. 71, pp. 103585-103585
Closed Access | Times Cited: 18
Robust optimization of 3D printing process parameters considering process stability and production efficiency
Cuihong Zhai, Jianjun Wang, Yiliu Tu, et al.
Additive manufacturing (2023) Vol. 71, pp. 103588-103588
Closed Access | Times Cited: 15
Towards inverse microstructure-centered materials design using generative phase-field modeling and deep variational autoencoders
Vahid Attari, Danial Khatamsaz, Douglas Allaire, et al.
Acta Materialia (2023) Vol. 259, pp. 119204-119204
Open Access | Times Cited: 13
Machine learning for metal additive manufacturing process optimization
Harpreet Kaur Channi, Raman Kumar
Elsevier eBooks (2025), pp. 131-153
Closed Access
Machine Learning Pipeline for Structure-Property Modeling in Mg-Alloys Using Microstructure and Texture Descriptors
Metin Gürü, Jan Bohlen, Roland C. Aydin, et al.
(2025)
Closed Access
Multimodal deep learning for enhanced temperature prediction with uncertainty quantification in directed energy deposition (DED) process
Adrian Matias Chung Baek, Taehwan Kim, Minkyu Seong, et al.
Virtual and Physical Prototyping (2025) Vol. 20, Iss. 1
Open Access
Heterogeneous effect of aging temperature on the fatigue life of additively manufactured thin-walled 18Ni300 maraging steel tubular specimen
Aleksander Karolczuk, Andrzej Kurek, Michał Böhm, et al.
Materials & Design (2023) Vol. 237, pp. 112561-112561
Open Access | Times Cited: 10
Roadmap on Data-Centric Materials Science
Matthias Scheffler, Sebastian Bauer, Peter Benner, et al.
(2024)
Open Access | Times Cited: 2
A framework for predicting residual mechanical response fields for laser powder bed fusion at the polycrystalline length scale
Lukasz Kuna, Andrew J. Birnbaum, Kirubel Teferra
Additive manufacturing (2023) Vol. 78, pp. 103830-103830
Closed Access | Times Cited: 4
Roadmap on Data-Centric Materials Science
Matthias Scheffler, Sebastian Bauer, Peter Benner, et al.
(2024)
Open Access | Times Cited: 1
Roadmap on Data-Centric Materials Science
Matthias Scheffler, Sebastian Bauer, Peter Benner, et al.
(2024)
Open Access | Times Cited: 1
Multi-fidelity surrogate with heterogeneous input spaces for modeling melt pools in laser-directed energy deposition
Nandana Menon, Amrita Basak
Additive manufacturing (2024), pp. 104440-104440
Closed Access | Times Cited: 1
Understanding the Effects of Manufacturing Attributes on Damage Tolerance of Additively Manufactured Parts and Exploring Synergy Among Process‐Structure‐Properties. A Comprehensive Review
Zia Uddin, Muhammad Muteeb Butt, Varma Kvvssn, et al.
Engineering Reports (2024) Vol. 6, Iss. 11
Open Access | Times Cited: 1
Partial-physics-informed multi-fidelity modeling of manufacturing processes
Jeremy Cleeman, Kian Agrawala, Evan Nastarowicz, et al.
Journal of Materials Processing Technology (2023) Vol. 320, pp. 118125-118125
Open Access | Times Cited: 2
Roadmap on Data-Centric Materials Science
Matthias Scheffler
(2024)
Open Access
Latent Functional Gaussian Process Incorporating Output Spatial Correlations
Ziyu Liu, Yongxiang Li, Xiaowei Yue, et al.
IISE Transactions (2024), pp. 1-24
Closed Access
PSP-GEN: Stochastic inversion of the Process-Structure-Property chain in materials design through deep, generative probabilistic modeling
Yaohua Zang, Phaedon‐Stelios Koutsourelakis
Acta Materialia (2024), pp. 120600-120600
Open Access
Applying Digital Twin Methods for Process-Structure-Property Correlation Assessment in Metal Additive Manufacturing with Limited Experimental Data
Malik Marks, Karnik Aswani, Gregory Weaver, et al.
Research in Nondestructive Evaluation (2024), pp. 1-17
Closed Access
Integrated computational materials engineering (ICME) for predicting tensile properties of additively manufactured defect-free single-phase high-entropy alloy
Tao Shen, Bo Li, Jianrui Zhang, et al.
Virtual and Physical Prototyping (2024) Vol. 20, Iss. 1
Open Access
Partial-Physics-Informed Multi-Fidelity Modeling of Manufacturing Processes
Rajiv Malhotra, Jeremy Cleeman, Kian Agrawala, et al.
(2023)
Closed Access | Times Cited: 1
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