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:

Machine learning based stochastic dynamic analysis of functionally graded shells
Vaishali Vaishali, T. Mukhopadhyay, P. K. Karsh, et al.
Composite Structures (2020) Vol. 237, pp. 111870-111870
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

On viscoelastic transient response of magnetically imperfect functionally graded nanobeams
M.H. Jalaei, Huu‐Tai Thai, Ömer Cívalek
International Journal of Engineering Science (2022) Vol. 172, pp. 103629-103629
Closed Access | Times Cited: 165

Efficient Artificial neural networks based on a hybrid metaheuristic optimization algorithm for damage detection in laminated composite structures
H. Tran-Ngoc, Samir Khatir, H. Ho-Khac, et al.
Composite Structures (2020) Vol. 262, pp. 113339-113339
Closed Access | Times Cited: 116

On the dynamic response of porous functionally graded microbeam under moving load
Qiao Zhang, Hu Liu
International Journal of Engineering Science (2020) Vol. 153, pp. 103317-103317
Closed Access | Times Cited: 84

A Machine Learning-Based Surrogate Finite Element Model for Estimating Dynamic Response of Mechanical Systems
Ali Hashemi, Jinwoo Jang, Javad Beheshti
IEEE Access (2023) Vol. 11, pp. 54509-54525
Open Access | Times Cited: 24

Flexoelectricity and surface effects on coupled electromechanical responses of graphene reinforced functionally graded nanocomposites: A unified size-dependent semi-analytical framework
Susmita Naskar, K.B. Shingare, Soumyadeep Mondal, et al.
Mechanical Systems and Signal Processing (2022) Vol. 169, pp. 108757-108757
Open Access | Times Cited: 37

A semi-analytical stochastic buckling quantification of porous functionally graded plates
Minh-Chien Trinh, T. Mukhopadhyay, Seung-Eock Kim
Aerospace Science and Technology (2020) Vol. 105, pp. 105928-105928
Closed Access | Times Cited: 46

Sparse machine learning assisted deep computational insights on the mechanical properties of graphene with intrinsic defects and doping
Kritesh Kumar Gupta, T. Mukhopadhyay, Aditya Roy, et al.
Journal of Physics and Chemistry of Solids (2021) Vol. 155, pp. 110111-110111
Closed Access | Times Cited: 41

Viscoelastic free vibration analysis of in-plane functionally graded orthotropic plates integrated with piezoelectric sensors: Time-dependent 3D analytical solutions
Agyapal Singh, Susmita Naskar, Poonam Kumari, et al.
Mechanical Systems and Signal Processing (2022) Vol. 184, pp. 109636-109636
Open Access | Times Cited: 27

Multi-factors effects analysis of nonlinear vibration of FG-GNPRC membrane using machine learning
Ni Zhi, Jinlong Yang, Yucheng Fan, et al.
Mechanics Based Design of Structures and Machines (2024), pp. 1-27
Closed Access | Times Cited: 5

Stochastic Oblique Impact on Composite Laminates: A Concise Review and Characterization of the Essence of Hybrid Machine Learning Algorithms
T. Mukhopadhyay, Susmita Naskar, Subrata Chakraborty, et al.
Archives of Computational Methods in Engineering (2020) Vol. 28, Iss. 3, pp. 1731-1760
Closed Access | Times Cited: 37

Vibration analysis of Ti-SiC composite airfoil blade based on machine learning
Minghui Yao, Shuaichao Wang, Yan Niu, et al.
Engineering Analysis with Boundary Elements (2024) Vol. 167, pp. 105894-105894
Closed Access | Times Cited: 4

Probing the stochastic fracture behavior of twisted bilayer graphene: Efficient ANN based molecular dynamics simulations for complete probabilistic characterization
Kritesh Kumar Gupta, Aditya Roy, T. Mukhopadhyay, et al.
Materials Today Communications (2022) Vol. 32, pp. 103932-103932
Closed Access | Times Cited: 19

On machine learning assisted data-driven bridging of FSDT and HOZT for high-fidelity uncertainty quantification of laminated composite and sandwich plates
Vaishali Vaishali, T. Mukhopadhyay, Susmita Naskar, et al.
Composite Structures (2022) Vol. 304, pp. 116276-116276
Open Access | Times Cited: 18

Probability-based unified sensitivity analysis for multi-objective performances of composite laminates: A surrogate-assisted approach
Subrata Kushari, T. Mukhopadhyay, Arunasis Chakraborty, et al.
Composite Structures (2022) Vol. 294, pp. 115559-115559
Closed Access | Times Cited: 17

On quantifying uncertainty in lightning strike damage of composite laminates: A hybrid stochastic framework of coupled transient thermal-electrical simulations
R.S. Chahar, Jonghyun Lee, T. Mukhopadhyay
Aerospace Science and Technology (2023) Vol. 142, pp. 108597-108597
Open Access | Times Cited: 10

Damage-induced buckling characteristics of thermally loaded variable angle tow laminated plates under uncertain environment
Prateek Chandrakar, Narayan Sharma, Dipak Kumar Maiti
European Journal of Mechanics - A/Solids (2023) Vol. 103, pp. 105188-105188
Closed Access | Times Cited: 10

Natural frequency prediction of functionally graded graphene-reinforced nanocomposite plates using ensemble learning and support vector machine models
Farzad Pashmforoush
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2022) Vol. 237, Iss. 4, pp. 782-798
Closed Access | Times Cited: 15

Stochastic buckling response of variable fiber spacing composite plate under thermal environment
Prateek Chandrakar, Narayan Sharma, Dipak Kumar Maiti
Journal of Composite Materials (2023) Vol. 57, Iss. 24, pp. 3821-3839
Closed Access | Times Cited: 9

Buckling variability analysis in damaged composite laminates subjected to thermally varying environment
Prateek Chandrakar, Narayan Sharma, Dipak Kumar Maiti
Journal of Thermal Stresses (2024) Vol. 47, Iss. 5, pp. 629-651
Closed Access | Times Cited: 3

Free vibration analysis of the geometrically nonlinear functionally graded porous curved panels in deterministic and stochastic domains considering various boundary conditions
Mohammad Amir, Sang‐Woo Kim, Soo‐Yong Lee
Waves in Random and Complex Media (2024), pp. 1-26
Closed Access | Times Cited: 3

Review of machine learning applications for defect detection in composite materials
Vahid Daghigh, Hamid Daghigh, Thomas E. Lacy, et al.
Machine Learning with Applications (2024), pp. 100600-100600
Open Access | Times Cited: 3

Optimal design of functionally graded material for stress concentration reduction
Yicong Zhou, Qiyin Lin, Jun Hong, et al.
Structures (2020) Vol. 29, pp. 561-569
Closed Access | Times Cited: 22

On the stochastic vibration analysis of the geometrically nonlinear graded cellular curved panels with material stochasticity
Mohammad Amir, Sang‐Woo Kim, Mohammad Talha
International Journal of Pressure Vessels and Piping (2022) Vol. 199, pp. 104768-104768
Closed Access | Times Cited: 14

Probing the Stochastic Unconfined Compressive Strength of Lime–RHA Mix Treated Clayey Soil
Gautam, Kritesh Kumar Gupta, Debjit Bhowmik, et al.
Journal of Materials in Civil Engineering (2022) Vol. 35, Iss. 3
Closed Access | Times Cited: 14

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