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 Machine Learning Model for the Prediction of Concrete Penetration by the Ogive Nose Rigid Projectile
Qadir Bux alias Imran Latif, Zubair Ahmed Memon, Zafar Mahmood, et al.
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 2040-2040
Open Access | Times Cited: 8
Qadir Bux alias Imran Latif, Zubair Ahmed Memon, Zafar Mahmood, et al.
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 2040-2040
Open Access | Times Cited: 8
Showing 8 citing articles:
Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives
Dimitrios Angelis, Filippos Sofos, Theodoros E. Karakasidis
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3845-3865
Open Access | Times Cited: 71
Dimitrios Angelis, Filippos Sofos, Theodoros E. Karakasidis
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3845-3865
Open Access | Times Cited: 71
Novel Insights in Soil Mechanics: Integrating Experimental Investigation with Machine Learning for Unconfined Compression Parameter Prediction of Expansive Soil
Ammar Alnmr, Haidar Hosamo, Chuangxin Lyu, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4819-4819
Open Access | Times Cited: 6
Ammar Alnmr, Haidar Hosamo, Chuangxin Lyu, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4819-4819
Open Access | Times Cited: 6
Predicting Penetration Depth in Ultra-High-Performance Concrete Targets under Ballistic Impact: An Interpretable Machine Learning Approach Augmented by Deep Generative Adversarial Network
Majid Khan, Muhammad Faisal Javed, N. Othman, et al.
Results in Engineering (2025), pp. 103909-103909
Open Access
Majid Khan, Muhammad Faisal Javed, N. Othman, et al.
Results in Engineering (2025), pp. 103909-103909
Open Access
Modeling the Destruction of Heavy Reinforced Concrete Screens Under Impact
С. П. Батуев, П. А. Радченко, А. В. Радченко
Research Square (Research Square) (2025)
Closed Access
С. П. Батуев, П. А. Радченко, А. В. Радченко
Research Square (Research Square) (2025)
Closed Access
The influence of geometric parameters of reinforcement on the destruction of reinforced concrete structures under impact
S. P. Batuev, П. А. Радченко, Andriy Radchenko
Russian Physics Journal (2025)
Closed Access
S. P. Batuev, П. А. Радченко, Andriy Radchenko
Russian Physics Journal (2025)
Closed Access
Prediction model for the failure behavior of concrete under impact loading base on back propagation neural network
Jianguo Ning, Yuanbao Feng, Huilan Ren, et al.
Construction and Building Materials (2023) Vol. 411, pp. 134297-134297
Closed Access | Times Cited: 8
Jianguo Ning, Yuanbao Feng, Huilan Ren, et al.
Construction and Building Materials (2023) Vol. 411, pp. 134297-134297
Closed Access | Times Cited: 8
Compressibility of expansive soil mixed with sand and its correlation to index properties
Ammar Alnmr, Rashad Alsirawan, Richard P. Ray, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e35711-e35711
Open Access | Times Cited: 1
Ammar Alnmr, Rashad Alsirawan, Richard P. Ray, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e35711-e35711
Open Access | Times Cited: 1
Estimating kinetic energy reduction for terminal ballistics using a hyperparameter-optimized neural network
Brianna Thompson, Jesse A. Sherburn, James A. Ross, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 12, pp. 6531-6545
Closed Access
Brianna Thompson, Jesse A. Sherburn, James A. Ross, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 12, pp. 6531-6545
Closed Access
