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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 combined wavelet packet and Hilbert-Huang transform for defect detection and modelling of weld strength in friction stir welding process
Bipul Das, Sukhomay Pal, Swarup Bag
Journal of Manufacturing Processes (2016) Vol. 22, pp. 260-268
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Intelligent welding system technologies: State-of-the-art review and perspectives
Baicun Wang, S. Jack Hu, Lei Sun, et al.
Journal of Manufacturing Systems (2020) Vol. 56, pp. 373-391
Closed Access | Times Cited: 288
A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence
Yiping Gao, Xinyu Li, Xi Vincent Wang, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 753-766
Closed Access | Times Cited: 129
Torque based defect detection and weld quality modelling in friction stir welding process
Bipul Das, Sukhomay Pal, Swarup Bag
Journal of Manufacturing Processes (2017) Vol. 27, pp. 8-17
Closed Access | Times Cited: 69
Monitoring of friction stir welding based on vision system coupled with Machine learning algorithm
S. Sudhagar, M. Sakthivel, P. Ganeshkumar
Measurement (2019) Vol. 144, pp. 135-143
Closed Access | Times Cited: 67
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: 6
A review of artificial intelligence techniques for optimizing friction stir welding processes and predicting mechanical properties
Roosvel Soto-Díaz, Mauricio Vásquez‐Carbonell, José Escorcia‐Gutierrez
Engineering Science and Technology an International Journal (2025) Vol. 62, pp. 101949-101949
Closed Access
The Role of Force and Torque in Friction Stir Welding: A Detailed Review
Mostafa Akbari, Milad Esfandiar, Amin Abdollahzadeh
Journal of Advanced Joining Processes (2025) Vol. 11, pp. 100289-100289
Open Access
Prediction of mechanical properties for 2219 aluminum alloy friction stir weld joints based on force signals
Meng Li, Rui Zhan, Xin Ji, et al.
The International Journal of Advanced Manufacturing Technology (2025)
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
A Novel Feature Extraction Method Based on Legendre Multi-Wavelet Transform and Auto-Encoder for Steel Surface Defect Classification
Xiaoyang Zheng, Weishuo Liu, Yan Huang
IEEE Access (2024) Vol. 12, pp. 5092-5102
Open Access | Times Cited: 4
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
Weld quality prediction in friction stir welding using wavelet analysis
Bipul Das, Sukhomay Pal, Swarup Bag
The International Journal of Advanced Manufacturing Technology (2016) Vol. 89, Iss. 1-4, pp. 711-725
Closed Access | Times Cited: 39
Weld defect identification in friction stir welding through optimized wavelet transformation of signals and validation through X-ray micro-CT scan
Rohan Roy, Alekhya Ghosh, Soham Bhattacharyya, et al.
The International Journal of Advanced Manufacturing Technology (2018) Vol. 99, Iss. 1-4, pp. 623-633
Closed Access | Times Cited: 38
Acoustic emission-based damage characterization of 70 MPa type IV hydrogen composite pressure vessels during hydraulic tests
Binbin Liao, D.L. Wang, Marouen Hamdi, et al.
International Journal of Hydrogen Energy (2019) Vol. 44, Iss. 40, pp. 22494-22506
Open Access | Times Cited: 38
Understanding process force transients with application towards defect detection during friction stir welding of aluminum alloys
Daniel Franke, Shiva Rudraraju, Michael Zinn, et al.
Journal of Manufacturing Processes (2020) Vol. 54, pp. 251-261
Open Access | Times Cited: 37
Detection of tunnel defects in friction stir welded aluminum alloy joints based on the in-situ force signal
Wei Guan, Dongxiao Li, Lei Cui, et al.
Journal of Manufacturing Processes (2021) Vol. 71, pp. 1-11
Closed Access | Times Cited: 31
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
Design and development of force and torque measurement setup for real time monitoring of friction stir welding process
Bipul Das, Sukhomay Pal, Swarup Bag
Measurement (2017) Vol. 103, pp. 186-198
Closed Access | Times Cited: 38
The Methodology of Modified Frequency Band Envelope Kurtosis for Bearing Fault Diagnosis
Hua Li, Xing Wu, Tao Liu, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 3, pp. 2856-2865
Closed Access | Times Cited: 16
A study on the prediction of inherent deformation in fillet-welded joint using support vector machine and genetic optimization algorithm
Liang Tian, Yu Luo
Journal of Intelligent Manufacturing (2019) Vol. 31, Iss. 3, pp. 575-596
Closed Access | Times Cited: 29
Weld optimisation
Debasish Das, Sanjib Jaypuria, Dilip Kumar Pratihar, et al.
Science and Technology of Welding & Joining (2021) Vol. 26, Iss. 3, pp. 181-195
Closed Access | Times Cited: 19
Deciphering the interdependent impact of process parameters in friction stir welding - Part I: an overview of the challenges and way forward
Simeon A. Babalola, Samik Dutta, Himadri Shekhar Roy, et al.
Materials and Manufacturing Processes (2023) Vol. 38, Iss. 11, pp. 1339-1360
Closed Access | Times Cited: 6
Parameter Identification for Structural Health Monitoring with Extended Kalman Filter Considering Integration and Noise Effect
Liyu Xie, Zhenwei Zhou, Lei Zhao, et al.
Applied Sciences (2018) Vol. 8, Iss. 12, pp. 2480-2480
Open Access | Times Cited: 20
Quality monitoring of aluminum alloy DPMIG welding based on broadband mode decomposition and MMC-FCH
Yanfeng Peng, Zepei Li, Kuanfang He, et al.
Measurement (2020) Vol. 158, pp. 107683-107683
Closed Access | Times Cited: 16
A study on porosity in gas tungsten arc welded aluminum alloys using spectral analysis
Yiming Huang, Yuxue Yuan, Lijun Yang, et al.
Journal of Manufacturing Processes (2020) Vol. 57, pp. 334-343
Closed Access | Times Cited: 16
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