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 defect detection framework using three-dimensional convolutional neural network (3D-CNN) with in-situ monitoring data in laser powder bed fusion process
Kang‐Hyun Lee, Han Wool Lee, Gun Jin Yun
Optics & Laser Technology (2023) Vol. 165, pp. 109571-109571
Closed Access | Times Cited: 16

Showing 16 citing articles:

In situ monitoring with melt pool data based on multi-signal fusion method in laser powder bed fusion
Zhiyong Zou, Kai Zhang, Tingting Liu, et al.
Measurement (2024) Vol. 234, pp. 114877-114877
Closed Access | Times Cited: 6

Selective Laser Sintering of Polymers: Process Parameters, Machine Learning Approaches, and Future Directions
Hossam M. Yehia, Atef Hamada, Tamer A. Sebaey, et al.
Journal of Manufacturing and Materials Processing (2024) Vol. 8, Iss. 5, pp. 197-197
Open Access | Times Cited: 6

A data-driven framework for designing microstructure of multifunctional composites with deep-learned diffusion-based generative models
Kang‐Hyun Lee, Hyoung Jun Lim, Gun Jin Yun
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107590-107590
Open Access | Times Cited: 14

Real-time machine learning for in situ quality control in hybrid manufacturing: a data-driven approach
Dinesh Mavaluru, Akanksha Tipparti, T. Anil Kumar, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access

A lightweight defect classification method for latex gloves based on image enhancement
Yong Ren, Dong Liu, Shengfeng Gu
Computer Science and Information Systems (2025) Vol. 22, Iss. 1, pp. 181-197
Open Access

Crack detection in laser-welded aluminum alloy based on the integration of generative adversarial networks
Jeonghun Shin, Sanghoon Kang, Jaewon Yang, et al.
Welding in the World (2025)
Closed Access

Defect prediction of localized regions in laser powder bed fusion based on multi-layer photodiode image fusion
Zhiyong Zou, Kai Zhang, Rong Chen, et al.
Measurement (2025), pp. 117413-117413
Closed Access

In-Situ monitoring of porosity based on static and dynamic molten pool features in laser powder bed fusion
Longchao Cao, Jingchang Li, Qi Zhou, et al.
Optics & Laser Technology (2025) Vol. 187, pp. 112872-112872
Closed Access

Enhancing manufacturing process accuracy: A multidisciplinary approach integrating computer vision, machine learning, and control systems
K. Ramesh, Sandip Deshmukh, Tathagata Ray, et al.
Journal of Manufacturing Processes (2025) Vol. 142, pp. 453-467
Closed Access

Denoising diffusion-based synthetic generation of three-dimensional (3D) anisotropic microstructures from two-dimensional (2D) micrographs
Kang‐Hyun Lee, Gun Jin Yun
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 423, pp. 116876-116876
Open Access | Times Cited: 2

Exploring the Role of Explainable AI in the Development and Qualification of Aircraft Quality Assurance Processes: A Case Study
Björn Milcke, Pascal Dinglinger, Jonas Holtmann
Communications in computer and information science (2024), pp. 331-352
Closed Access | Times Cited: 1

Fault detection and identification method: 3D-CNN combined with continuous wavelet transform
Chinatsu Ukawa, Yoshiyuki Yamashita
Computers & Chemical Engineering (2024) Vol. 189, pp. 108791-108791
Closed Access

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