WU Ya

1.2k citations
136 papers · 932 · h-index 17

Impact in

    • Turbomachinery Performance and Optimization
    • Aerodynamics and Acoustics in Jet Flows
    • Aerodynamics and Fluid Dynamics Research
    • Fluid Dynamics and Turbulent Flows

Papers in

    • Turbomachinery Performance and Optimization 35
    • Aerodynamics and Fluid Dynamics Research 14
    • Aerodynamics and Acoustics in Jet Flows 13
    • Fluid Dynamics and Turbulent Flows 27
    • Computational Fluid Dynamics and Aerodynamics 9

WU Ya

125 papers receiving 907 citations

Peers

WU Ya
Comparison fields: 5 of 107
  • Aerospace Engineering 397
  • Computational Mechanics 265
  • Mechanical Engineering 356
  • Computer Vision and Pattern Recognition 159
  • Signal Processing 44
Replace Yanfei Zhu with:
Yanfei Zhu China
Han Zhang China
Yuntao Chen China
Zefei Zhu China
Luwei Yang China
Xinfang Zhang China
Hua Chen China
Dawei Huang China
Junqi Xu China
Zicheng Liu China
WU Ya relative to Yanfei Zhu China Yanfei Zhu's profile →
Citations per field
00.5×8.4×
Yanfei Zhu · 1×
Citations per year

Countries citing papers authored by WU Ya

Since Specialization
Citations

This map shows the geographic impact of WU Ya'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 WU Ya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites WU Ya more than expected).

Fields of papers citing papers by WU Ya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by WU Ya. 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 WU Ya. The network helps show where WU Ya may publish in the future.

Co-authors

The 25 scholars most cited alongside WU Ya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with WU Ya Line = papers co-authored together WU Ya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202061
2 202350
3 201948
4 201640
5 201232
6 200825
7 201723
8 202123
9 201621
10 201421
11 202021
12 201919
13 201817
14 201917
15 201516
16 201816
17 202016
18 202116
19 201615
20 201414

About WU Ya

WU Ya is a scholar working on Aerospace Engineering, Computational Mechanics, Mechanical Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 136 papers that have together received 932 indexed citations. Recurring topics across this work include Turbomachinery Performance and Optimization (35 papers), Fluid Dynamics and Turbulent Flows (27 papers), Heat Transfer Mechanisms (25 papers), Aerodynamics and Fluid Dynamics Research (14 papers), Aerodynamics and Acoustics in Jet Flows (13 papers), Refrigeration and Air Conditioning Technologies (10 papers), Data Visualization and Analytics (9 papers) and Computational Fluid Dynamics and Aerodynamics (9 papers). The work is most often cited by research in Aerospace Engineering (397 citations), Computational Mechanics (265 citations), Mechanical Engineering (356 citations), Computer Vision and Pattern Recognition (159 citations) and Signal Processing (44 citations). WU Ya has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hua Ouyang, Jie Tian, Zhaohui Du, Yangang Wang, Anjie Peng, Jingquan Liu, Zhiran Yi, Bin Yang, Shuanghou Deng and Wenming Zhang. Their work appears in journals such as Aerospace Science and Technology, International Journal of Refrigeration, Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy, Applied Acoustics and Journal of Turbomachinery.

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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