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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:

Data-driven modeling of process, structure and property in additive manufacturing: A review and future directions
Zhuo Wang, Wenhua Yang, Qingyang Liu, et al.
Journal of Manufacturing Processes (2022) Vol. 77, pp. 13-31
Closed Access | Times Cited: 63

Showing 1-25 of 63 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: 219
Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods
Haijie Wang, Bo Li, Jian‐Guo Gong, et al.
Engineering Fracture Mechanics (2023) Vol. 284, pp. 109242-109242
Closed Access | Times Cited: 109
Advanced Machine Learning Techniques to Improve Hydrological Prediction: A Comparative Analysis of Streamflow Prediction Models
Vijendra Kumar, Naresh Kedam, Kul Vaibhav Sharma, et al.
Water (2023) Vol. 15, Iss. 14, pp. 2572-2572
Open Access | Times Cited: 100
Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review
Hao Wang, Shanglin Gao, Boyi Wang, et al.
Journal of Material Science and Technology (2024) Vol. 198, pp. 111-136
Closed Access | Times Cited: 25
Recent developments in the application of machine-learning towards accelerated predictive multiscale design and additive manufacturing
Sandeep Suresh Babu, Abdel‐Hamid I. Mourad, Khalifa H. Harib, et al.
Virtual and Physical Prototyping (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 44
Review of transfer learning in modeling additive manufacturing processes
Yifan Tang, Mostafa Rahmani Dehaghani, G. Gary Wang
Additive manufacturing (2022) Vol. 61, pp. 103357-103357
Closed Access | Times Cited: 43
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
Review of Machine Learning applications in Additive Manufacturing
Sirajudeen Inayathullah, Raviteja Buddala
Results in Engineering (2024) Vol. 25, pp. 103676-103676
Open Access | Times Cited: 11
Physics-based and data-driven hybrid modeling in manufacturing: a review
Sathish Kasilingam, Ruoyu Yang, Shubhendu Kumar Singh, et al.
Production & Manufacturing Research (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 9
Laser powder bed fusion of bio-inspired metamaterials for energy absorption applications: A review
Anooshe Sadat Mirhakimi, Devashish Dubey, M.A. Elbestawi
Journal of Materials Research and Technology (2024) Vol. 31, pp. 2126-2155
Open Access | Times Cited: 8
A feature-level multi-sensor fusion approach for in-situ quality monitoring of selective laser melting
Jingchang Li, Xiaoge Zhang, Qi Zhou, et al.
Journal of Manufacturing Processes (2022) Vol. 84, pp. 913-926
Closed Access | Times Cited: 32
Investigation on dynamic strength of 3D‐printed continuous ramie fiber reinforced biocomposites at various strain rates using machine learning methods
Ruijun Cai, Hao Lin, Ping Cheng, et al.
Polymer Composites (2022) Vol. 43, Iss. 8, pp. 5235-5249
Closed Access | Times Cited: 29
Machine learning and feature representation approaches to predict stress-strain curves of additively manufactured metamaterials with varying structure and process parameters
Qingyang Liu, Dazhong Wu
Materials & Design (2024) Vol. 241, pp. 112932-112932
Open Access | Times Cited: 7
Selecting subsets of source data for transfer learning with applications in metal additive manufacturing
Yifan Tang, Mostafa Rahmani Dehaghani, Pouyan Sajadi, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
New insight into the multivariate relationships among process, structure, and properties in laser powder bed fusion AlSi10Mg
Qixiang Luo, Nancy Huang, Tianyi Fu, et al.
Additive manufacturing (2023) Vol. 77, pp. 103804-103804
Closed Access | Times Cited: 13
Deep Residual Principal Component Analysis as Feature Engineering for Industrial Data Analytics
Junhua Zheng, Zeyu Yang, Zhiqiang Ge
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 5
Recent Advancements in Material Waste Recycling: Conventional, Direct Conversion, and Additive Manufacturing Techniques
Mandar Golvaskar, Sammy A. Ojo, K. Manigandan
Recycling (2024) Vol. 9, Iss. 3, pp. 43-43
Open Access | Times Cited: 4
Intelligent Management and Control of Production Operation
Tianyuan Liu, Jinsong Bao, Yu Zheng, et al.
Springer series in advanced manufacturing (2025), pp. 291-346
Closed Access
Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing
Jiarui Xie, Mutahar Safdar, Lequn Chen, et al.
Additive manufacturing (2025), pp. 104692-104692
Closed Access
Architecture-Guided Physics-Learned Machine Learning for Temperature Prediction in Laser-Assisted Turning Process
Mondi Rama Karthik, Thella Babu Rao
Lasers in Manufacturing and Materials Processing (2025)
Closed Access
Data fusion and swin transformer architecture-based model for monitoring geometric morphology of blue laser directed energy deposited Al-Mg alloy
Shili Yang, H.Z. Li, Zijue Tang, et al.
Measurement (2025), pp. 116992-116992
Closed Access
Unveiling Processing–Property Relationships in Laser Powder Bed Fusion: The Synergy of Machine Learning and High-throughput Experiments
Mahsa Amiri, Zahra Zanjani Foumani, Penghui Cao, et al.
Materials & Design (2025), pp. 113705-113705
Open Access
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
Mikrostruktursimulation für die Additive Fertigung von Metallen – eine Übersicht
Shayan Kasiri Habibabadi, Henning Wessels
Springer eBooks (2025), pp. 65-76
Closed Access
Harnessing on-machine metrology data for prints with a surrogate model for laser powder directed energy deposition
Michael Juhasz, Eric Chin, Youngsoo Choi, et al.
Additive manufacturing (2025), pp. 104745-104745
Closed Access
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