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 Assisted Prediction of Airfoil Lift-to-Drag Characteristics for Mars Helicopter
Pengyue Zhao, Xifeng Gao, Bo Zhao, et al.
Aerospace (2023) Vol. 10, Iss. 7, pp. 614-614
Open Access | Times Cited: 8
Pengyue Zhao, Xifeng Gao, Bo Zhao, et al.
Aerospace (2023) Vol. 10, Iss. 7, pp. 614-614
Open Access | Times Cited: 8
Showing 8 citing articles:
Machine learning-enhanced optimization of rotor blades for rotary-wing Mars UAVs through coupled CFD simulation
Zhou Zhang, Pengyue Zhao, Zhixiang Zhang, et al.
Aerospace Science and Technology (2025), pp. 109858-109858
Closed Access
Zhou Zhang, Pengyue Zhao, Zhixiang Zhang, et al.
Aerospace Science and Technology (2025), pp. 109858-109858
Closed Access
Review of Key Technologies of Rotary-Wing Mars UAVs for Mars Exploration
Pengyue Zhao, Ruihan Li, Peng Wu, et al.
Inventions (2023) Vol. 8, Iss. 6, pp. 151-151
Open Access | Times Cited: 5
Pengyue Zhao, Ruihan Li, Peng Wu, et al.
Inventions (2023) Vol. 8, Iss. 6, pp. 151-151
Open Access | Times Cited: 5
Machine Learning-Enhanced Optimization of Rotor Blades for Rotary-Wing Mars Uavs Through Coupled Cfd Simulation
Zhou Zhang, Zhixiang Zhang, Qinghan Sun, et al.
(2024)
Closed Access
Zhou Zhang, Zhixiang Zhang, Qinghan Sun, et al.
(2024)
Closed Access
Bio-inspired multi-dimensional deep fusion learning for predicting dynamical aerospace propulsion systems
Michael Qian Vergnolle, Eastman Z Y Wu, Yanan Sui, et al.
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access
Michael Qian Vergnolle, Eastman Z Y Wu, Yanan Sui, et al.
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access
Fast Aerodynamics Prediction of Wedge Tail Airfoils Using Multi-head Perceptron Network
Md. Moynul Hasan, Md. Mashiur Rahaman, N. M. Golam Zakaria
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 8, pp. 11397-11423
Open Access
Md. Moynul Hasan, Md. Mashiur Rahaman, N. M. Golam Zakaria
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 8, pp. 11397-11423
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
M N Lochan, N Rakshitha, Bhagwati Prasad, et al.
SAE technical papers on CD-ROM/SAE technical paper series (2024)
Closed Access
Studying the aerodynamic signature of an airofoil structure beyond the experimental measuring limits of a wind tunnel using the ANN algorithm
Peter Makeen, M. A. Elkasrawy, Ahmed Aboelezz, et al.
Energy Systems (2023)
Closed Access | Times Cited: 1
Peter Makeen, M. A. Elkasrawy, Ahmed Aboelezz, et al.
Energy Systems (2023)
Closed Access | Times Cited: 1
Flow around an Aircraft Model—Comparison between Hydrodynamic Tunnel Tests and Computational Fluid Dynamics Simulations
Anna Mikołajczyk, Adam Dziubiński, Paulina Kurnyta-Mazurek, et al.
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13035-13035
Open Access | Times Cited: 1
Anna Mikołajczyk, Adam Dziubiński, Paulina Kurnyta-Mazurek, et al.
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13035-13035
Open Access | Times Cited: 1
