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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:

Assessment of machine learning methods predicting the axial vibration frequencies of microbars
Aiman Tariq, Büşra Uzun, Babür Deliktaş, et al.
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (2023) Vol. 104, Iss. 3
Closed Access | Times Cited: 9

Showing 9 citing articles:

Vibration analysis of embedded porous nanobeams under thermal effects using boosting machine learning algorithms and semi-analytical approach
Aiman Tariq, Büşra Uzun, Babür Deliktaş, et al.
Mechanics of Advanced Materials and Structures (2024), pp. 1-24
Closed Access | Times Cited: 16
An Inverse Parameter Identification in Finite Element Problems Using Machine Learning-Aided Optimization Framework
Aiman Tariq, Babür Deliktaş
Experimental Mechanics (2025) Vol. 65, Iss. 3, pp. 325-349
Open Access | Times Cited: 4
A machine learning approach for buckling analysis of a bi-directional FG microbeam
Aiman Tariq, Büşra Uzun, Babür Deliktaş, et al.
Microsystem Technologies (2024)
Closed Access | Times Cited: 8
ANN-based evaluation system for erosion resistant highway shoulder rocks
Aiman Tariq, Basil Abualshar, Babür Deliktaş, et al.
International Journal of Geo-Engineering (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Application of Machine Learning to Identify Key Features Affecting Conductivity in CNT/ PEDOT:PSS Nanocomposites
Chengcheng Peng, Guosheng Chen, Cailiu Yin, et al.
(2025)
Closed Access
Machine learning algorithms for predicting the photoionization cross section of CdS/ZnSe core/shell spherical quantum dots surrounded by dielectric matrices
A. Cherni, N. Zeiri, N. Yahyaoui, et al.
Results in Physics (2025), pp. 108186-108186
Open Access
Application of machine learning to identify key features affecting conductivity in CNT/ PEDOT:PSS nanocomposites
Chengcheng Peng, Guosheng Chen, Cailiu Yin, et al.
Materials Today Communications (2025) Vol. 44, pp. 112097-112097
Closed Access
Machine Learning Models for Predicting Compressive Strength of Eco-Friendly Concrete with Copper Slag Aggregates
Yaser Moodi, Naser Safaeian Hamzehkolaei, Iman Afshoon
Materials Today Communications (2025), pp. 112572-112572
Closed Access
Vibration behavior prediction of submerged nanobeams with axially traveling supports: numerical, analytical, and machine learning approaches
Xiaolan Chen
Mechanics Based Design of Structures and Machines (2024) Vol. 52, Iss. 12, pp. 10273-10303
Closed Access | Times Cited: 1
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