Open Access Helper

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:

Surrogate Aerodynamic Wing Modeling Based on a Multilayer Perceptron
Oscar Ulises Espinosa Barcenas, Jose Gabriel Quijada Pioquinto, Ekaterina Kurkina, et al.
Aerospace (2023) Vol. 10, Iss. 2, pp. 149-149
Open Access | Times Cited: 18

Showing 18 citing articles:

Steady-State Transonic Flowfield Prediction via Deep-Learning Framework
Gabriele Immordino, Andrea Da Ronch, Marcello Righi
AIAA Journal (2024) Vol. 62, Iss. 5, pp. 1915-1931
Open Access | Times Cited: 8
Algorithm for Propeller Optimization Based on Differential Evolution
A. V. Sedelnikov, Evgenii Kurkin, Jose Gabriel Quijada-Pioquinto, et al.
Computation (2024) Vol. 12, Iss. 3, pp. 52-52
Open Access | Times Cited: 8
CT-based finite element simulating spatial bone damage accumulation predicts metastatic human vertebrae strength and stiffness
Zahra Soltani, Michelle Xu, Raúl Radovitzky, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 4
Rapid airfoil design based on ellipse direct method and prediction model
Zhen Wang, Yuan Qi, Yi Zhu, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access
New Methodology for Aerodynamic Forces Calculations in Unmanned Aerial Systems Optimization Design
Alexander Rubenstruk, Oscar Espinosa, Ruxandra Mihaela Botez
AIAA SCITECH 2022 Forum (2025)
Closed Access
Deep–learning framework for aircraft aerodynamics prediction
Gabriele Immordino, Andrea Da Ronch, Marcello Righi
AIAA Aviation 2019 Forum (2023)
Closed Access | Times Cited: 5
Atmospheric Aircraft Conceptual Design Based on Multidisciplinary Optimization with Differential Evolution Algorithm and Neural Networks
Oleg Lukyanov, Van Hung Hoang, Evgenii Kurkin, et al.
(2024)
Open Access | Times Cited: 1
Optimization of Airfoils for the Design of Long Endurance Aircrafts Using Deep Learning Models and Metaheuristics Algorithms
Jose Gabriel Quijada Pioquinto, Валентин Шахов, E. Yu. Minaev, et al.
(2024)
Open Access | Times Cited: 1
Optimizing Rainfall-Triggered Landslide Thresholds to Warning Daily Landslide Hazard in Three Gorges Reservoir Area
Bo Peng, Xueling Wu
(2024)
Open Access
Comment on nhess-2024-109

(2024)
Open Access
Reply on RC1
Xueling Wu
(2024)
Open Access
Comment on nhess-2024-109

(2024)
Open Access
Reply on RC2
Xueling Wu
(2024)
Open Access
Additional response to RC1
Xueling Wu
(2024)
Open Access
Reply on RC2
Xueling Wu
(2024)
Open Access
Airfoil Optimization Using Deep Learning Models and Evolutionary Algorithms for the Case Large-Endurance UAVs Design
E. Yu. Minaev, Jose Gabriel Quijada Pioquinto, Валентин Шахов, et al.
Drones (2024) Vol. 8, Iss. 10, pp. 570-570
Open Access
ML meets aerospace: challenges of certifying airborne AI
Bastian Luettig, Yassine Akhiat, Zamira Daw
Frontiers in Aerospace Engineering (2024) Vol. 3
Open Access
Optimizing rainfall-triggered landslide thresholds for daily landslide hazard warning in the Three Gorges Reservoir area
Bo Peng, Xueling Wu
Natural hazards and earth system sciences (2024) Vol. 24, Iss. 11, pp. 3991-4013
Open Access
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