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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:

Investigation of dissimilar laser welding of stainless steel 304 and copper using the artificial neural network model
Ebrahem A. Algehyne, Tareq Saeed, Muhammad Ibrahim, et al.
Journal of Laser Applications (2021) Vol. 33, Iss. 2
Closed Access | Times Cited: 10

Showing 10 citing articles:

Systematic evaluation of pulsed laser parameters effect on temperature distribution in dissimilar laser welding: A numerical simulation and artificial neural network
Chuan Sun, Mohammad Hossein Razavi Dehkordi, Mohammad Javad Kholoud, et al.
Optics & Laser Technology (2023) Vol. 163, pp. 109407-109407
Closed Access | Times Cited: 23
Using the numerical simulation and artificial neural network (ANN) to evaluate temperature distribution in pulsed laser welding of different alloys
Muhyaddin Rawa, Mohammad Hossein Razavi Dehkordi, Mohammad Javad Kholoud, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107025-107025
Closed Access | Times Cited: 22
Mixed convective flow of Casson and Oldroyd-B fluids through a stratified stretching sheet with nonlinear thermal radiation and chemical reaction
Ebrahem A. Algehyne, Musaad S. Aldhabani, Anwar Saeed, et al.
Journal of Taibah University for Science (2022) Vol. 16, Iss. 1, pp. 193-203
Open Access | Times Cited: 30
Effect of laser welding parameters on the temperature distribution, microstructure and mechanical properties of dissimilar weld joint of Inconel 625 and stainless steel 304
Yan Li, Jafar Eskandari Jam, Mohsen Heydari Beni, et al.
International Communications in Heat and Mass Transfer (2022) Vol. 131, pp. 105859-105859
Closed Access | Times Cited: 29
Potential of Biochar as Soil Amendment: Prediction of Elemental Ratios from Pyrolysis of Agriculture Biomass Using Artificial Neural Network
Yi Wei Liew, Senthil Kumar Arumugasamy, Anurita Selvarajoo
Water Air & Soil Pollution (2022) Vol. 233, Iss. 2
Closed Access | Times Cited: 20
Constructing the high temperature efficiency and instability maps of selective laser melted 316L stainless steel through artificial neural network modeling
A. Esmaeilpour, H.R. Abedi, Ahmad Mirzaei, et al.
Journal of Materials Research and Technology (2022) Vol. 18, pp. 4578-4589
Open Access | Times Cited: 19
Novel regenerator design for caloric cycles using artificial neural network — Genetic algorithm method and additive manufacturing
Min‐Woong Kang, Stefan Elbel
Energy Reports (2023) Vol. 9, pp. 4257-4274
Open Access | Times Cited: 5
Deep learning-based penetration depth prediction in Al/Cu laser welding using spectrometer signal and CCD image
Sanghoon Kang, Minjung Kang, Yong Hoon Jang, et al.
Journal of Laser Applications (2022) Vol. 34, Iss. 4
Open Access | Times Cited: 7
Innovations in Monitoring, Control and Design of Laser and Laser-Arc Hybrid Welding Processes
Zheng-Xiong Ma, P.M. Cheng, Jie Ning, et al.
Metals (2021) Vol. 11, Iss. 12, pp. 1910-1910
Open Access | Times Cited: 9
Effect of laser parameters on melting ratio and temperature distribution in dissimilar laser welding of brass and SS 308 using the artificial neural network model
Xinmin Dong, Hao Wangshen, Jigao Liu, et al.
Journal of Laser Applications (2021) Vol. 33, Iss. 3
Closed Access | Times Cited: 5
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