Linyang Zhu

609 citations
11 papers · 452 indexed · 1 hit paper · h-index 6
Topics
Fluid Dynamics and Turbulent Flows (10 papers)Model Reduction and Neural Networks (9 papers)Aerodynamics and Acoustics in Jet Flows (6 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsPhysics of Fluids
Partner nations
China

In The Last Decade

Linyang Zhu

11 papers receiving 444 citations

Hit Papers

Machine learning methods for turbulence modeling in subso...2019202620212023201950100150200250

Peers

Linyang Zhu
Comparison fields: 5 of 37
  • Computational Mechanics 353
  • Statistical and Nonlinear Physics 277
  • Aerospace Engineering 191
  • Mechanical Engineering 56
  • Environmental Engineering 55
Replace Harshal D. Akolekar with:
Harshal D. Akolekar Australia
Yilang Liu China
Jian Yu China
Yiyang Sun United States
Anand Pratap Singh United States
Miguel Alfonso Mendez Belgium
David Flad Germany
Luca Guastoni Sweden
Zelong Yuan China
Kazuto Hasegawa Japan
Linyang Zhu relative to Harshal D. Akolekar Australia Harshal D. Akolekar's profile →
Citations per field
00.5×1.5×1.8×
Harshal D. Akolekar · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 1
3 65
4 2
5 20
6 2
7 13
8 3
9 26
10 61
11
Machine learning methods for turbulence modeling in subsonic flows around airfoilsbreakdown →
258

About Linyang Zhu

Linyang Zhu is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Aerospace Engineering, having authored 11 papers that have together received 452 indexed citations. Recurring topics across this 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). The work is most often cited by research in Statistical and Nonlinear Physics (277 citations), Computational Mechanics (353 citations) and Aerospace Engineering (191 citations). Linyang Zhu has collaborated with scholars based in China. Frequent co-authors include Weiwei Zhang, Yilang Liu, Jiaqing Kou, Xianxu Yuan, Zhengyin Ye, Guohua Tu, Wenbo Cao, Tian Wang, Qilong Guo and Dong Sun. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Physics of Fluids.

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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