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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:

A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management
Ying Zhang, Mutahar Safdar, Jiarui Xie, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 8, pp. 3305-3340
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

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: 45
A review of machine learning (ML) and explainable artificial intelligence (XAI) methods in additive manufacturing (3D Printing)
Jeewanthi Ukwaththa, Sumudu Herath, D.P.P. Meddage
Materials Today Communications (2024) Vol. 41, pp. 110294-110294
Open Access | Times Cited: 15
Machine learning for advancing laser powder bed fusion of stainless steel
Walaa Abd‐Elaziem, Sally Elkatatny, Tamer A. Sebaey, et al.
Journal of Materials Research and Technology (2024) Vol. 30, pp. 4986-5016
Open Access | Times Cited: 10
Challenges and Opportunities in the Implementation of AI in Manufacturing: A Bibliometric Analysis
Lorena Espina-Romero, Humberto Gutiérrez Hurtado, Doile Enrique Ríos Parra, et al.
Sci (2024) Vol. 6, Iss. 4, pp. 60-60
Open Access | Times Cited: 6
Automating life cycle assessment for additive manufacturing with machine learning: Framework design, dataset buildup, and a case study
Ahmed Z. Naser, Fantahun M. Defersha, Xun Xu, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 504-526
Closed Access | Times Cited: 13
Learning with limited annotations: Deep semi-supervised learning paradigm for layer-wise defect detection in laser powder bed fusion
Kunpeng Tan, Jiafeng Tang, Zhibin Zhao, et al.
Optics & Laser Technology (2025) Vol. 185, pp. 112586-112586
Closed Access
Evaluation of classification models in limited data scenarios with application to additive manufacturing
Farhad Pourkamali‐Anaraki, Tahamina Nasrin, Robert E. Jensen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106983-106983
Closed Access | Times Cited: 11
Automated porosity segmentation in laser powder bed fusion part using computed tomography: a validity study
Catherine Desrosiers, Morgan Letenneur, Fabrice Bernier, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 4
Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges
Amirul Islam Saimon, Emmanuel Yangue, Xiaowei Yue, et al.
IISE Transactions (2024), pp. 1-44
Open Access | Times Cited: 4
Barriers to Adoption of Artificial Intelligence in Metal Additive Manufacturing
Wayne E. King
(2025)
Closed Access
Enhancing And Optimization In Exisiting HVAC Equipment Using Tools Of Industry 4.0
Feliciano Fraguela, Julio Barreiro Montes, Feliciano Fraguela, et al.
Journal of Building Engineering (2025), pp. 111924-111924
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
Additive manufacturing of continuous fiber reinforced polymer composites: Process planning and intelligent control
Donghua Zhao, Xinmeng Zha, Limin Zhou, et al.
Journal of Manufacturing Processes (2025) Vol. 144, pp. 170-189
Closed Access
Toward automated life cycle assessment for additive manufacturing: A systematic review of influential parameters and framework design
Ahmed Z. Naser, Fantahun M. Defersha, Eujin Pei, et al.
Sustainable Production and Consumption (2023) Vol. 41, pp. 253-274
Open Access | Times Cited: 10
Deep learning-based framework for the observation of real-time melt pool and detection of anomaly in wire-arc additive manufacturing
Mukesh Chandra, Sonu Rajak, Vimal K.E.K
Materials and Manufacturing Processes (2023) Vol. 39, Iss. 6, pp. 761-777
Closed Access | Times Cited: 10
A Common Data Dictionary and Common Data Model for Additive Manufacturing
Alexander Kuan, Kareem S. Aggour, Shengyen Li, et al.
Integrating materials and manufacturing innovation (2024) Vol. 13, Iss. 1, pp. 105-119
Open Access | Times Cited: 3
Accelerated semantic segmentation of additively manufactured metal matrix composites: Generating datasets, evaluating convolutional and transformer models, and developing the MicroSegQ+ Tool
Mutahar Safdar, Yi Fan Li, Randy El Haddad, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123974-123974
Closed Access | Times Cited: 3
On the data quality and imbalance in machine learning-based design and manufacturing—A systematic review
Yaoyao Fiona Zhao, Jiarui Xie, Lijun Sun
Engineering (2024)
Open Access | Times Cited: 3
Machine Learning to Assess and Support Safe Drinking Water Supply: A Systematic Review
Feng Feng, Yuanxun Zhang, Zhenru Chen, et al.
Journal of environmental chemical engineering (2024), pp. 114481-114481
Closed Access | Times Cited: 3
Design and implementation of a machine log for PBF-LB/M on basis of IoT communication architectures and an ETL pipeline
Konstantin Poka, S.R. Ali, Waleed Saeed, et al.
Progress in Additive Manufacturing (2024) Vol. 9, Iss. 3, pp. 643-654
Open Access | Times Cited: 2
L-PBF High-Throughput Data Pipeline Approach for Multi-modal Integration
Kristen J. Hernandez, Thomas G. Ciardi, Rachel Yamamoto, et al.
Integrating materials and manufacturing innovation (2024) Vol. 13, Iss. 3, pp. 758-772
Open Access | Times Cited: 2
Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability
Jiarui Xie, Zhuo Yang, Che‐Yuan Hu, et al.
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2024), pp. 690-697
Closed Access | Times Cited: 2
Fundamental requirements of a machine learning operations platform for industrial metal additive manufacturing
Mutahar Safdar, Padma Polash Paul, Guy Lamouche, et al.
Computers in Industry (2023) Vol. 154, pp. 104037-104037
Closed Access | Times Cited: 5
Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition
Mutahar Safdar, Jiarui Xie, Hyunwoong Ko, et al.
Journal of Computing and Information Science in Engineering (2024) Vol. 24, Iss. 5
Open Access | Times Cited: 1
Leveraging small-scale datasets for additive manufacturing process modeling and part certification: Current practice and remaining gaps
Durant Fullington, Emmanuel Yangue, Mahathir Mohammad Bappy, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 306-321
Closed Access | Times Cited: 1
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