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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:

Process Monitoring in Friction Stir Welding Using Convolutional Neural Networks
Roman Hartl, Andreas Bachmann, Jan Bernd Habedank, et al.
Metals (2021) Vol. 11, Iss. 4, pp. 535-535
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Deep learning-based welding image recognition: A comprehensive review
Tianyuan Liu, Pai Zheng, Jinsong Bao
Journal of Manufacturing Systems (2023) Vol. 68, pp. 601-625
Closed Access | Times Cited: 39
A Survey of Machine Learning in Friction Stir Welding, including Unresolved Issues and Future Research Directions
Utkarsh Chadha, Senthil Kumaran Selvaraj, Neha Gunreddy, et al.
Material Design & Processing Communications (2022) Vol. 2022, pp. 1-28
Open Access | Times Cited: 36
A review on phenomenological model subtleties for defect assessment in friction stir welding
Debtanay Das, Swarup Bag, Sukhomay Pal, et al.
Journal of Manufacturing Processes (2024) Vol. 120, pp. 641-679
Closed Access | Times Cited: 7
Ensemble-based deep learning model for welding defect detection and classification
Vinod Vasan, Naveen Venkatesh Sridharan, Rebecca Jeyavadhanam Balasundaram, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108961-108961
Closed Access | Times Cited: 5
A novel real-time quality control system for 3D printing: A deep learning approach using data efficient image transformers
Manveer Singh, P. C. Sharma, Satish Kumar Sharma, et al.
Expert Systems with Applications (2025), pp. 126863-126863
Closed Access
Non-destructive evaluation of the friction stir welding process, generalizing a deep neural defect detection network to identify internal weld defects across different aluminum alloys
Pascal Rabe, Uwe Reisgen, Alexander Schiebahn
Welding in the World (2023) Vol. 67, Iss. 3, pp. 549-560
Open Access | Times Cited: 14
Machine Learning for Modeling and Defect Detection of Friction Stir Welds: A Review
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun, et al.
Journal of Failure Analysis and Prevention (2025)
Closed Access
Deep learning approaches for force feedback based void defect detection in friction stir welding
Pascal Rabe, Alexander Schiebahn, Uwe Reisgen
Journal of Advanced Joining Processes (2021) Vol. 5, pp. 100087-100087
Open Access | Times Cited: 28
A technical perspective on integrating artificial intelligence to solid-state welding
S. Yaknesh, Rajamurugu Natarajan, K.B. Prakash, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 9-10, pp. 4223-4248
Open Access | Times Cited: 3
Supervised and Unsupervised Machine Learning Algorithms for Forecasting the Fracture Location in Dissimilar Friction-Stir-Welded Joints
Akshansh Mishra, Anish Dasgupta
Forecasting (2022) Vol. 4, Iss. 4, pp. 787-797
Open Access | Times Cited: 18
Machine Learning Tools for Flow-Related Defects Detection in Friction Stir Welding
Danilo Ambrosio, Vincent Wagner, Gilles Dessein, et al.
Journal of Manufacturing Science and Engineering (2023) Vol. 145, Iss. 10
Closed Access | Times Cited: 7
Diagnosis of Al-CFRTP TA-FSLW defect using acoustic emission signal based on SPWVD and ResNet
Haiwei Long, Siyu Zhao, Yibo Sun, et al.
Measurement (2024) Vol. 231, pp. 114667-114667
Closed Access | Times Cited: 2
Cell-Internal Contacting of Prismatic Lithium-Ion Batteries Using Micro-Friction Stir Spot Welding
Martina E. Sigl, Sophie Grabmann, Luca-Felix Kick, et al.
Batteries (2022) Vol. 8, Iss. 10, pp. 174-174
Open Access | Times Cited: 11
Volumetric Defect Detection in Friction Stir Welding Through Convolutional Neural Networks Generalized Across Multiple Aluminum-Alloys and Sheet Thicknesses
Pascal Rabe, Alexander Schiebahn, Uwe Reisgen
Proceedings in engineering mechanics (2024), pp. 43-61
Closed Access | Times Cited: 1
Defect monitoring method for Al-CFRTP UFSW based on BWO–VMD–HHT and ResNet
Haiwei Long, Yibo Sun, Xihao Yang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Variation Mechanism of Three-Dimensional Force and Force-Based Defect Detection in Friction Stir Welding of Aluminum Alloys
Jihong Dong, Yiming Huang, Jialei Zhu, et al.
Materials (2023) Vol. 16, Iss. 3, pp. 1312-1312
Open Access | Times Cited: 4
Recognition of DC01 Mild Steel Laser Welding Penetration Status Based on Photoelectric Signal and Neural Network
Yue Niu, Perry P. Gao, Xiangdong Gao
Metals (2023) Vol. 13, Iss. 5, pp. 871-871
Open Access | Times Cited: 4
Process parameter optimization of 6061AA Friction Stir Welded Joints using Supervised Machine Learning Regression-based Algorithms
Akshansh Mishra, Eyob Meseele Sefene, Assefa Asmare Tsegaw
(2021)
Open Access | Times Cited: 7
Computer Vision Algorithm for Predicting the Welding Efficiency of Friction Stir Welded Copper Joints from its Microstructures
Akshansh Mishra, Vijaykumar S. Jatti, Asmita Suman, et al.
E3S Web of Conferences (2023) Vol. 430, pp. 01252-01252
Open Access | Times Cited: 2
Process parameter optimization of 6061AA Friction Stir Welded Joints using Supervised Machine Learning Regression-based Algorithms
Akshansh Mishra, Eyob Meseele Sefene, Assefa Asmare Tsegaw
(2021)
Open Access | Times Cited: 5
Welding Quality Detection for Variable Groove Weldments Based on Infrared Sensor and Artificial Neural Network
Rongwei Yu, Yong Huang, Shubiao Qiu, et al.
Metals (2022) Vol. 12, Iss. 12, pp. 2124-2124
Open Access | Times Cited: 3
Effects of alignment discrepancies on the weld quality in friction stir welding
Fabian Vieltorf, M. Wolfrum, Amanda Zens, et al.
Journal of Advanced Joining Processes (2024) Vol. 9, pp. 100190-100190
Open Access
In Situ Monitoring and Defect Diagnosis Method Based on Synchronous Compression Short-Time Fourier Transform and K-Singular Value Decomposition for Al-Carbon Fiber-Reinforced Thermoplastic Friction Stir Lap Welding
Yibo Sun, Haiwei Long, Siyu Zhao, et al.
Journal of Materials Engineering and Performance (2024)
Closed Access
Development and validation of a generalized, AI-based inline void defect detection solution for FSW based on force feedback
Pascal Rabe, Alexander Schiebahn, Uwe Reisgen
Welding in the World (2024)
Open Access
Deep Convolutional Neural Network Algorithm for Prediction of the Mechanical Properties of Friction Stir Welded Copper Joints from its Microstructures
Akshansh Mishra, Asmita Suman
Welding Technology Review (2023) Vol. 95, pp. 25-31
Open Access | Times Cited: 1
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