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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:

Aerodynamic Analyses of Airfoils Using Machine Learning as an Alternative to RANS Simulation
Shakeel Ahmed, Khurram Kamal, Tahir Abdul Hussain Ratlamwala, et al.
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 5194-5194
Open Access | Times Cited: 21

Showing 21 citing articles:

A novel method for predicting fluid–structure interaction with large deformation based on masked deep neural network
Yangwei Liu, Shihang Zhao, Feitong Wang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 2
Closed Access | Times Cited: 16
Prediction of aerodynamic coefficients based on machine learning models
Ahmed M. Elshewey, Mohamed A. Aziz, Osama A. Gaheen, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 3
Closed Access | Times Cited: 1
Prediction of transonic flow over supercritical airfoils using geometric-encoding and deep-learning strategies
Zhiwen Deng, Jing Wang, Hongsheng Liu, et al.
Physics of Fluids (2023) Vol. 35, Iss. 7
Open Access | Times Cited: 22
Investigation on the abilities of different artificial intelligence methods to predict the aerodynamic coefficients
Sadik Yetkin, Saleh Abuhanieh, Şahin Yiğit
Expert Systems with Applications (2023) Vol. 237, pp. 121324-121324
Closed Access | Times Cited: 13
Optimization of horizontal axis wind turbine performance with the dimpled blades by using CNN and MLP models
Ahmad Abbaskhah, Hamed Sedighi, Pooria Akbarzadeh, et al.
Ocean Engineering (2023) Vol. 276, pp. 114185-114185
Closed Access | Times Cited: 12
Relative Assessment of Selected Machine Learning Techniques for Predicting Aerodynamic Coefficients of Airfoil
Shakeel Ahmed, Khurram Kamal, Tahir Abdul Hussain Ratlamwala
Iranian Journal of Science and Technology Transactions of Mechanical Engineering (2024)
Closed Access | Times Cited: 3
A Novel Prediction Model for Airfoil Aerodynamic Characteristics Based on Machine Learning
S. M. Tarikul Islam, Yuanming Xu, Md. Mehedi Hasan, et al.
Iranian Journal of Science and Technology Transactions of Mechanical Engineering (2025)
Closed Access
Prediction of Airfoil Lift Coefficient Based on Multilayer Perceptron
Jianbo Zhou, Rui Zhang, Chen Lyu
International Journal of Aeronautical and Space Sciences (2024)
Closed Access | Times Cited: 2
A novel deep learning approach for flow field prediction around airfoils leveraging computational space representation
Paride Caraccio, Guido Marseglia, Agostino Lauria, et al.
Physics of Fluids (2024) Vol. 36, Iss. 10
Closed Access | Times Cited: 2
System identification of oscillating surge wave energy converter using physics-informed neural network
Mahmoud Ayyad, Lisheng Yang, Alaa Ahmed, et al.
Applied Energy (2024) Vol. 378, pp. 124703-124703
Closed Access | Times Cited: 1
Deep Learning-Based Prediction of Aerodynamic Performance for Airfoils in Transonic Regime
Tarek Ayman, Mayar A. Elrefaie, Eman Sayed, et al.
(2023), pp. 157-160
Closed Access | Times Cited: 1
Pearson-ShuffleDarkNet37-SE-Fully Connected-Net for Fault Classification of the Electric System of Electric Vehicles
Quan Lu, Shan Chen, Linfei Yin, et al.
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13141-13141
Open Access | Times Cited: 1
Prediction of Airfoil Efficiency by Artificial Neural Network
Chinmayi Siddamsetty, D. Jyothika, Tabindah Saleem, et al.
Lecture notes in electrical engineering (2024), pp. 1-14
Closed Access
Applying Machine Learning in CFD to Study the Impact of Thermal Characteristics on the Aerodynamic Characteristics of an Airfoil
Ali Wadi Al-Fatlawi, Javad Hashemi, Sheikh I. Hossain, et al.
Journal of Applied Fluid Mechanics (2024) Vol. 17, Iss. 4
Open Access
Predicting aerodynamic characteristics of airfoils using artificial neural network
Md. Moynul Hasan, Mohammad Fahim Faisal, N. M. Golam Zakaria, et al.
Research Square (Research Square) (2024)
Open Access
A Comparative Study of RANS and Machine Learning Techniques for Aerodynamic Analysis of Aerofoils
M N Lochan, N Rakshitha, Bhagwati Prasad, et al.
SAE technical papers on CD-ROM/SAE technical paper series (2024)
Closed Access
Simulation Analysis of Car Aerodynamics within Tunnel Environment using Deep Learning: A Comparative Architectural Study
Fouzia Adjailia, Dávid Jopek, Michal Takáč, et al.
(2024) Vol. 7, pp. 1-8
Closed Access
Inverse Airfoil Design for Hydrokinetic Turbine Blades Using Non-intrusive Reduced Order Modeling
Pratyush Bhatt, Pranav Mittal, Pranav Taneja, et al.
Lecture notes in mechanical engineering (2024), pp. 205-224
Closed Access
Determining pressure from velocity via physics-informed neural network
Zemin Cai, Xiangqi Lin, Tianshu Liu, et al.
European Journal of Mechanics - B/Fluids (2024) Vol. 109, pp. 1-21
Closed Access
Optimization of CDA Blade Based on Surrogate Model
Wei Meng, Shuming Li, Hong Zhang, et al.
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
Прогнозирование аэродинамических коэффициентов на закручивающиеся формообразующие зданий и сооружений на базе машинного обучения и CFD-моделирования
С. Г. Саиян, В. Б. Шелепина
Vestnik MGSU (2024) Vol. 19, Iss. 5, pp. 713-728
Open Access
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