Linyang Zhu

609 total citations · 1 hit paper
11 papers, 452 citations indexed

About

Linyang Zhu is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Aerospace Engineering. According to data from OpenAlex, Linyang Zhu has authored 11 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 9 papers in Statistical and Nonlinear Physics and 7 papers in Aerospace Engineering. Recurrent topics in Linyang Zhu's work include Fluid Dynamics and Turbulent Flows (10 papers), Model Reduction and Neural Networks (9 papers) and Aerodynamics and Acoustics in Jet Flows (6 papers). Linyang Zhu is often cited by papers focused on Fluid Dynamics and Turbulent Flows (10 papers), Model Reduction and Neural Networks (9 papers) and Aerodynamics and Acoustics in Jet Flows (6 papers). Linyang Zhu collaborates with scholars based in China. Linyang Zhu's co-authors include Weiwei Zhang, Yilang Liu, Jiaqing Kou, Xianxu Yuan, Zhengyin Ye, Guohua Tu, Wenbo Cao, Qilong Guo, Tian Wang and Dong Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Physics of Fluids.

In The Last Decade

Linyang Zhu

11 papers receiving 444 citations

Hit Papers

Machine learning methods ... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine learning methods for turbulence modeling in subsonic flows around airfoils
    2019 258 citations Linyang Zhu, Weiwei Zhang et al. Physics of Fluids profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Linyang Zhu China 6 353 277 191 56 55 11 452
Luca Guastoni Sweden 5 329 0.9× 263 0.9× 110 0.6× 63 1.1× 55 1.0× 12 432
Yiyang Sun United States 8 443 1.3× 238 0.9× 259 1.4× 58 1.0× 44 0.8× 23 549
Alejandro Güemes Spain 7 271 0.8× 202 0.7× 99 0.5× 58 1.0× 50 0.9× 13 363
Yilang Liu China 14 733 2.1× 425 1.5× 326 1.7× 87 1.6× 128 2.3× 30 870
Harshal D. Akolekar Australia 8 279 0.8× 166 0.6× 163 0.9× 64 1.1× 41 0.7× 20 403
Jian Yu China 13 409 1.2× 170 0.6× 147 0.8× 65 1.2× 32 0.6× 54 573
Miguel Alfonso Mendez Belgium 13 313 0.9× 94 0.3× 153 0.8× 75 1.3× 52 0.9× 60 495
Kazuto Hasegawa Japan 5 210 0.6× 196 0.7× 86 0.5× 16 0.3× 30 0.5× 6 305
Zelong Yuan China 13 424 1.2× 195 0.7× 103 0.5× 78 1.4× 178 3.2× 33 521
Xianxu Yuan China 17 914 2.6× 161 0.6× 423 2.2× 83 1.5× 114 2.1× 114 1.0k

Countries citing papers authored by Linyang Zhu

Since Specialization
Citations

This map shows the geographic impact of Linyang Zhu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Linyang Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linyang Zhu more than expected).

Fields of papers citing papers by Linyang Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linyang Zhu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Linyang Zhu. The network helps show where Linyang Zhu may publish in the future.

Co-authorship network of co-authors of Linyang Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Linyang Zhu. A scholar is included among the top collaborators of Linyang Zhu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Linyang Zhu. Linyang Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
2.
Ye, Zhengyin, et al.. (2024). CycleMLP++: An efficient and flexible modeling framework for subsonic airfoils. Expert Systems with Applications. 260. 125455–125455. 1 indexed citations
3.
Ye, Zhengyin, et al.. (2023). Fast aerodynamics prediction of laminar airfoils based on deep attention network. Physics of Fluids. 35(3). 65 indexed citations
4.
Zhu, Linyang, Tian Wang, Qilong Guo, & Xianxu Yuan. (2023). NN-augmented k - ω shear stress transport turbulence model for high-speed flows with shock-wave/boundary layer interaction. Engineering Applications of Computational Fluid Mechanics. 17(1). 2 indexed citations
5.
Zhu, Linyang, Weiwei Zhang, & Guohua Tu. (2022). Generalization enhancement of artificial neural network for turbulence closure by feature selection. SHILAP Revista de lepidopterología. 4(1). 20 indexed citations
6.
Zhu, Linyang, et al.. (2022). Physics-assisted recursive method for sample selection from wall-bounded turbulence data. Physics of Fluids. 34(8). 2 indexed citations
7.
Zhang, Weiwei, et al.. (2022). Research on grid‐dependence of neural network turbulence model. International Journal for Numerical Methods in Fluids. 94(11). 1909–1922. 3 indexed citations
8.
Zhu, Linyang, et al.. (2022). One neural network approach for the surrogate turbulence model in transonic flows. Acta Mechanica Sinica. 38(3). 13 indexed citations
9.
Cao, Wenbo, et al.. (2021). High Reynolds number airfoil turbulence modeling method based on machine learning technique. Computers & Fluids. 236. 105298–105298. 26 indexed citations
10.
Zhu, Linyang, et al.. (2020). Turbulence closure for high Reynolds number airfoil flows by deep neural networks. Aerospace Science and Technology. 110. 106452–106452. 61 indexed citations
11.
Zhu, Linyang, Weiwei Zhang, Jiaqing Kou, & Yilang Liu. (2019). Machine learning methods for turbulence modeling in subsonic flows around airfoils. Physics of Fluids. 31(1). 258 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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