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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:

MHA-Net: Multi-source heterogeneous aerodynamic data fusion neural network embedding reduced-dimension features
Chenjia Ning, Weiwei Zhang
Aerospace Science and Technology (2024) Vol. 145, pp. 108908-108908
Closed Access | Times Cited: 10

Showing 10 citing articles:

Data-driven prediction of critical diameter for deterministic lateral displacement devices: an integrated DPD-ML approach
Shuai Liu, Peng Zhang, Anbin Wang, et al.
Engineering Applications of Computational Fluid Mechanics (2025) Vol. 19, Iss. 1
Open Access
Online multi-fidelity data aggregation via hierarchical neural network
Chunlong Hai, Jiazhen Wang, Shengjin Guo, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117795-117795
Closed Access
Augmenting Mesh-based Data-driven Models with Physics Gradients
David Massegur Sampietro, Andrea Da Ronch
Aerospace Science and Technology (2025), pp. 110037-110037
Open Access
Aircraft Dynamics Modeling at High Angles of Attack Incorporating Residual Transformer Autoencoder and Physical Mechanisms
Jinyi Ma, Q Zhu, Tao Xue, et al.
Aerospace Science and Technology (2025), pp. 110045-110045
Closed Access
Unsteady aerodynamic modeling and analysis of aircraft model in multi-DOF coupling maneuvers at high angles of attack with attention mechanism
Wenzhao Dong, Xiaoguang Wang, Dong Han, et al.
Chinese Journal of Aeronautics (2025), pp. 103444-103444
Open Access
Adaptive Control Method for Morphing Trailing-Edge Wing Based on Deep Supervision Network and Reinforcement Learning
Jiahua Dai, Peiqing Liu, Chuihuan Kong, et al.
Aerospace Science and Technology (2024) Vol. 153, pp. 109424-109424
Closed Access | Times Cited: 3
High-Efficiency Data Fusion Aerodynamic Performance Modeling Method for High-Altitude Propellers
Miao Zhang, Jun Jiao, Jian Zhang, et al.
Drones (2024) Vol. 8, Iss. 6, pp. 229-229
Open Access | Times Cited: 1
Multi-fidelity Bayesian neural networks for aerodynamic data fusion with heterogeneous uncertainties
Fangfang Xie, Xinshuai Zhang, Shihao Wu, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 435, pp. 117666-117666
Closed Access | Times Cited: 1
Multi-Source Feature-Fusion Method for the Seismic Data of Cultural Relics based on Deep Learning
Lin He, Quan Wei, Mengting Gong, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4525-4525
Open Access
Invertible neural network combined with dynamic mode decomposition applied to flow field feature extraction and prediction
Xiao Hou, Jin Zhang, Le Fang
Physics of Fluids (2024) Vol. 36, Iss. 9
Closed Access
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