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:
Prediction of mechanical and thermal properties in bronze-filled polyamide 66 composites using artificial neural network
Mahboube Mohamadi, Seyedemad Alavitabari, Mortaza Aliasghary
Polymer Bulletin (2021) Vol. 79, Iss. 7, pp. 4905-4921
Closed Access | Times Cited: 10
Mahboube Mohamadi, Seyedemad Alavitabari, Mortaza Aliasghary
Polymer Bulletin (2021) Vol. 79, Iss. 7, pp. 4905-4921
Closed Access | Times Cited: 10
Showing 10 citing articles:
A comprehensive review on fillers and mechanical properties of 3D printed polymer composites
Nishtha Arora, Sachin Dua, Vivek Kumar Singh, et al.
Materials Today Communications (2024) Vol. 40, pp. 109617-109617
Closed Access | Times Cited: 11
Nishtha Arora, Sachin Dua, Vivek Kumar Singh, et al.
Materials Today Communications (2024) Vol. 40, pp. 109617-109617
Closed Access | Times Cited: 11
A novel Artificial Neural Network-based model for predicting dielectric properties of banana fiber filled with polypropylene composites
D Mahesh, Snigdha Sen, Raju Nama Vasudeva Setty
Journal of Thermoplastic Composite Materials (2023) Vol. 36, Iss. 10, pp. 4106-4123
Closed Access | Times Cited: 21
D Mahesh, Snigdha Sen, Raju Nama Vasudeva Setty
Journal of Thermoplastic Composite Materials (2023) Vol. 36, Iss. 10, pp. 4106-4123
Closed Access | Times Cited: 21
Thermal, electrical and mechanical properties of carbon fiber/copper powder/carbon black reinforced hybrid Polyamide 6,6 composites
Rumeysa Beyaz, Aysun Ekinci, Zühal Yurtbasi, et al.
High Performance Polymers (2022) Vol. 35, Iss. 2, pp. 103-114
Closed Access | Times Cited: 6
Rumeysa Beyaz, Aysun Ekinci, Zühal Yurtbasi, et al.
High Performance Polymers (2022) Vol. 35, Iss. 2, pp. 103-114
Closed Access | Times Cited: 6
Predicting viscosity in polyurethane polymerization for liquid composite molding using neural networks and surface methodology
Joziel Aparecido da Cruz, Heitor Luiz Ornaghi, Sandro Campos Amico, et al.
Polymer Bulletin (2023) Vol. 81, Iss. 9, pp. 8341-8358
Closed Access | Times Cited: 2
Joziel Aparecido da Cruz, Heitor Luiz Ornaghi, Sandro Campos Amico, et al.
Polymer Bulletin (2023) Vol. 81, Iss. 9, pp. 8341-8358
Closed Access | Times Cited: 2
Artificial neural network prediction of thermal and mechanical properties for Bi 2 O 3 ‐polybenzoxazine nanocomposites
Mohamadou Al Hassan, Mehdi Derradji, Mohsen M.M. Ali, et al.
Journal of Applied Polymer Science (2022) Vol. 139, Iss. 32
Closed Access | Times Cited: 4
Mohamadou Al Hassan, Mehdi Derradji, Mohsen M.M. Ali, et al.
Journal of Applied Polymer Science (2022) Vol. 139, Iss. 32
Closed Access | Times Cited: 4
Estimation of Mechanical Properties of Copper Powder Filled Linear Low-Density Polyethylene Composites
Sukhmander Singh, A. S. Luyt, R. S. Bhoopal, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 7, pp. 2437-2448
Closed Access | Times Cited: 1
Sukhmander Singh, A. S. Luyt, R. S. Bhoopal, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 7, pp. 2437-2448
Closed Access | Times Cited: 1
Construction of rail wear and crack initiation prediction model combined with BP neural network
Yichao Wu, Shuying Wang
(2022), pp. 137-141
Closed Access | Times Cited: 1
Yichao Wu, Shuying Wang
(2022), pp. 137-141
Closed Access | Times Cited: 1
Characterization of Waste Micro and Nano Tungsten Carbide Powder Reinforced Polyamide 66 Matrix Composites
Işık Çetintav, Mehmet Ceviz
Materials science forum (2023) Vol. 1104, pp. 45-51
Closed Access
Işık Çetintav, Mehmet Ceviz
Materials science forum (2023) Vol. 1104, pp. 45-51
Closed Access
Establishing a Model for Predicting Material Wear and Crack Initiation Based on BP Neural Network: Taking Ceramic Materials as an Example
Xiuru Wang, Shenghui Wang, Jiamin Mai, et al.
(2023), pp. 567-571
Closed Access
Xiuru Wang, Shenghui Wang, Jiamin Mai, et al.
(2023), pp. 567-571
Closed Access
Premature and Extended Contact Behaviour of PA 6 and PA 6,6 Gears
S. Vignesh, A. Johnney Mertens
Springer Proceedings in Materials (2023), pp. 43-52
Closed Access
S. Vignesh, A. Johnney Mertens
Springer Proceedings in Materials (2023), pp. 43-52
Closed Access
