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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:

In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks
Dongsen Ye, Jerry Ying Hsi Fuh, Yingjie Zhang, et al.
ISA Transactions (2018) Vol. 81, pp. 96-104
Closed Access | Times Cited: 138

Showing 1-25 of 138 citing articles:

Machine learning in additive manufacturing: State-of-the-art and perspectives
Chengcheng Wang, Xipeng Tan, Shu Beng Tor, et al.
Additive manufacturing (2020) Vol. 36, pp. 101538-101538
Open Access | Times Cited: 510
A review on machine learning in 3D printing: applications, potential, and challenges
Guo Dong Goh, Swee Leong Sing, Wai Yee Yeong
Artificial Intelligence Review (2020) Vol. 54, Iss. 1, pp. 63-94
Closed Access | Times Cited: 445
Using machine learning to identify in-situ melt pool signatures indicative of flaw formation in a laser powder bed fusion additive manufacturing process
Luke Scime, Jack Beuth
Additive manufacturing (2018) Vol. 25, pp. 151-165
Closed Access | Times Cited: 315
Medical image fusion method by deep learning
Yi Li, Junli Zhao, Zhihan Lv, et al.
International Journal of Cognitive Computing in Engineering (2021) Vol. 2, pp. 21-29
Open Access | Times Cited: 243
Research and application of machine learning for additive manufacturing
Jian Qin, Fu Hu, Ying Liu, et al.
Additive manufacturing (2022) Vol. 52, pp. 102691-102691
Open Access | Times Cited: 240
Machine learning algorithms for defect detection in metal laser-based additive manufacturing: A review
Yanzhou Fu, Austin Downey, Lang Yuan, et al.
Journal of Manufacturing Processes (2022) Vol. 75, pp. 693-710
Open Access | Times Cited: 170
Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm
Shenghan Guo, Mohit Agarwal, Clayton Cooper, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 145-163
Open Access | Times Cited: 160
In-situ measurement and monitoring methods for metal powder bed fusion: an updated review
Marco Grasso, Afaf Remani, Andrew Dickins, et al.
Measurement Science and Technology (2021) Vol. 32, Iss. 11, pp. 112001-112001
Open Access | Times Cited: 147
Metal vaporization and its influence during laser powder bed fusion process
Jinge Liu, Peng Wen
Materials & Design (2022) Vol. 215, pp. 110505-110505
Open Access | Times Cited: 137
Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control
Sachin Kumar, T. Gopi, N. Harikeerthana, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 1, pp. 21-55
Open Access | Times Cited: 137
Machine learning in predicting mechanical behavior of additively manufactured parts
Sara Nasiri, Mohammad Reza Khosravani
Journal of Materials Research and Technology (2021) Vol. 14, pp. 1137-1153
Open Access | Times Cited: 135
A comprehensive literature review of the applications of AI techniques through the lifecycle of industrial equipment
Mahboob Elahi, Samuel Olaiya Afolaranmi, José L. Martínez Lastra, et al.
Discover Artificial Intelligence (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 101
A Review of Spatter in Laser Powder Bed Fusion Additive Manufacturing: In Situ Detection, Generation, Effects, and Countermeasures
Zheng Li, Hao Li, Jie Yin, et al.
Micromachines (2022) Vol. 13, Iss. 8, pp. 1366-1366
Open Access | Times Cited: 86
Review on additive manufacturing and non-destructive testing
Isaac Segovia Ramírez, Fausto Pedro Garcı́a Márquez, Mayorkinos Papaelias
Journal of Manufacturing Systems (2023) Vol. 66, pp. 260-286
Closed Access | Times Cited: 71
Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing
T. Herzog, Milan Brandt, Adrian Trinchi, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 4, pp. 1407-1437
Open Access | Times Cited: 66
A comparative review on multi-modal sensors fusion based on deep learning
Qin Tang, Jing Liang, Fangqi Zhu
Signal Processing (2023) Vol. 213, pp. 109165-109165
Closed Access | Times Cited: 66
Towards the next generation of machine learning models in additive manufacturing: A review of process dependent material evolution
Mohammad Parsazadeh, Shashank Sharma, Narendra B. Dahotre
Progress in Materials Science (2023) Vol. 135, pp. 101102-101102
Closed Access | Times Cited: 64
Artificial Intelligence in Predicting Mechanical Properties of Composite Materials
Fasikaw Kibrete, Tomasz Trzepieciński, Hailu Shimels Gebremedhen, et al.
Journal of Composites Science (2023) Vol. 7, Iss. 9, pp. 364-364
Open Access | Times Cited: 62
On the application of in-situ monitoring systems and machine learning algorithms for developing quality assurance platforms in laser powder bed fusion: A review
Katayoon Taherkhani, Osazee Ero, Farima Liravi, et al.
Journal of Manufacturing Processes (2023) Vol. 99, pp. 848-897
Closed Access | Times Cited: 41
In-process and post-process strategies for part quality assessment in metal powder bed fusion: A review
Cherq Chua, Yanting Liu, Richard J. Williams, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 75-105
Open Access | Times Cited: 24
AI-based additive manufacturing for future food: Potential applications, challenges and possible solutions
Qi Yu, Min Zhang, Arun S. Mujumdar, et al.
Innovative Food Science & Emerging Technologies (2024) Vol. 92, pp. 103599-103599
Closed Access | Times Cited: 19
Quality analysis in metal additive manufacturing with deep learning
Xiang Li, Xiaodong Jia, Qibo Yang, et al.
Journal of Intelligent Manufacturing (2020) Vol. 31, Iss. 8, pp. 2003-2017
Closed Access | Times Cited: 121
Material Reuse in Laser Powder Bed Fusion: Side Effects of the Laser—Metal Powder Interaction
Eleonora Santecchia, S. Spigarelli, Marcello Cabibbo
Metals (2020) Vol. 10, Iss. 3, pp. 341-341
Open Access | Times Cited: 110
Artificial Neural Network Algorithms for 3D Printing
Muhammad Arif Mahmood, Anita Ioana Visan, Carmen Ristoscu, et al.
Materials (2020) Vol. 14, Iss. 1, pp. 163-163
Open Access | Times Cited: 110
Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges
Peng Wang, Yiran Yang, Narges Shayesteh Moghaddam
Journal of Manufacturing Processes (2021) Vol. 73, pp. 961-984
Closed Access | Times Cited: 82
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