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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:

Laser Welding Penetration Monitoring Based on Time-Frequency Characterization of Acoustic Emission and CNN-LSTM Hybrid Network
Zhongyi Luo, Di Wu, Peilei Zhang, et al.
Materials (2023) Vol. 16, Iss. 4, pp. 1614-1614
Open Access | Times Cited: 20

Showing 20 citing articles:

Machine learning-based in-process monitoring for laser deep penetration welding: A survey
Rundong Lu, Ming Lou, Yu-Jun Xia, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109059-109059
Closed Access | Times Cited: 6
Study on dynamic behavior of laser welding plume by in-situ tracking particle. Part C: Depth monitoring
Jianglin Zou, Shun Xie, Wuxiong Yang, et al.
Optics and Lasers in Engineering (2025) Vol. 186, pp. 108809-108809
Closed Access
Online identification of laser welding penetration through multi-photoelectric decomposition-reconstruction and shifted-windows-based transformer deep learning framework
Da Zeng, Di Wu, Hongxing Huang, et al.
Measurement (2025), pp. 116872-116872
Closed Access
Applicable and generalizable machine learning for intelligent welding in automotive manufacturing
Peng Wang, Hassan Ghassemi-Armaki, Masoud Pour, et al.
Welding in the World (2025)
Open Access
A study on the dynamic behavior of plasma plume in laser deep penetration welding of A304 stainless steel based on three-probe detection
Hanbo Zhang, Lijun Yang, Yiming Huang
Measurement (2025), pp. 117209-117209
Closed Access
Virtual Sensor for On-Line Hardness Assessment in TIG Welding of Inconel 600 Alloy Thin Plates
Jacek Górka, Wojciech Jamrozik, Bernard Wyględacz, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3569-3569
Open Access | Times Cited: 3
Robustness investigation of an in-situ absorption measurement system for laser processing
Moritz Wittemer, Katrin Wudy
Welding in the World (2024) Vol. 68, Iss. 6, pp. 1461-1472
Open Access | Times Cited: 2
Transformer and cross-attention-based multi-sensor in-situ monitoring of molten pool stability and part quality in laser powder bed fusion
Longchao Cao, Wentao Guo, Jingchang Li, et al.
Optics and Lasers in Engineering (2024) Vol. 183, pp. 108522-108522
Closed Access | Times Cited: 2
Intensity-dependent absorption signature for in situ process characterization in laser processing of 316L
Moritz Wittemer, Katrin Wudy
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 7-8, pp. 3497-3512
Open Access | Times Cited: 1
Temporal Resolution of Acoustic Process Emissions for Monitoring Joint Gap Formation in Laser Beam Butt Welding
Sayako Kodera, Leander Schmidt, Florian Römer, et al.
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10548-10548
Open Access | Times Cited: 2
LSTM Modeling for Improved Laser Welding of AISI 904 L Stainless Steel for optimal Parameter Selection
S. Sarangapani
International Research Journal of Modernization in Engineering Technology and Science (2024)
Open Access
Experimental study of the generation and propagation of acoustic emission signals in laser micro welding
Ming‐Chyuan Lu, N Chi, Kei Lin Kuo
The International Journal of Advanced Manufacturing Technology (2024) Vol. 135, Iss. 9-10, pp. 4455-4469
Closed Access
Study on the keyhole oscillation mechanism of laser welding based on electro-mechano-acoustical analogy theory
Zhongyi Luo, Leshi Shu, Ping Jiang, et al.
Journal of Materials Processing Technology (2024) Vol. 331, pp. 118495-118495
Closed Access
A performance comparison of deep learning and shallow machine learning in acoustic emission monitoring of aluminium alloy pulsed laser welding
Da Zeng, Di Wu, Zhongyi Luo, et al.
Soft Computing (2024) Vol. 28, Iss. 17-18, pp. 10263-10279
Closed Access
Review on Welding Process Monitoring Based on Deep Learning using Time-Series Data
Jaeheon Lee, H. Hwang, Taesoon Jeong, et al.
Journal of Welding and Joining (2024) Vol. 42, Iss. 4, pp. 333-344
Open Access
Acoustic process monitoring during the laser beam welding of stainless-steel foils using an adjustable ring mode laser beam source
Tony Weiß, Jonas Werner, Christian Geiger, et al.
Journal of Laser Applications (2024) Vol. 36, Iss. 4
Closed Access
Enhancement of weld penetrations classification model performance through the implementation of denoising methods towards the acquired acoustic and optical signals during laser beam welding process
S.A.A. Aleem, M.F.M. Yusof, M. Ishak, et al.
Applied Acoustics (2024) Vol. 231, pp. 110503-110503
Closed Access
Temporal Resolution of Acoustic Process Emissions for Monitoring Joint Gap Formation in Laser Beam Butt Welding
Sayako Kodera, Leander Schmidt, Florian Römer, et al.
(2023)
Open Access | Times Cited: 1
A Performance Comparison of Deep Learning and Shallow Machine Learning in Acoustic Emission Monitoring of Aluminum Alloy Pulsed Laser Welding
Da Zeng, Di Wu, Zhongyi Luo, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
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