Qing Shen

959 total citations
84 papers, 651 citations indexed

About

Qing Shen is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Qing Shen has authored 84 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Mechanics, 16 papers in Computer Vision and Pattern Recognition and 15 papers in Artificial Intelligence. Recurrent topics in Qing Shen's work include Computational Fluid Dynamics and Aerodynamics (16 papers), Fluid Dynamics and Turbulent Flows (14 papers) and Traffic Prediction and Management Techniques (10 papers). Qing Shen is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (16 papers), Fluid Dynamics and Turbulent Flows (14 papers) and Traffic Prediction and Management Techniques (10 papers). Qing Shen collaborates with scholars based in China, United States and Japan. Qing Shen's co-authors include Jungang Lou, Yunliang Jiang, Xiaojuan Ban, Ruiqin Wang, Xiaozhu Lin, Xiaohua Qian, Mingfei Gao, Zhuangzi Li, Stephen Wu and Zechao Li and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and BMC Bioinformatics.

In The Last Decade

Qing Shen

75 papers receiving 638 citations

Peers

Qing Shen
Comparison fields: 5 of 120
  • Artificial Intelligence 142
  • Computer Vision and Pattern Recognition 140
  • Radiology, Nuclear Medicine and Imaging 96
  • Control and Systems Engineering 76
  • Building and Construction 68
Replace François Hemez with:
François Hemez United States
Kun Zhao China
Vlad Hondru Romania
Florinel-Alin Croitoru Romania
Xiaofei Yang China
Matthias Humt Germany
Jianxiang Feng China
Anna Kruspe Germany
Guoqing Li China
François Hemez United States View profile →
Citations per field, relative to Qing Shen
Qing Shen · 1×
Citations per year, relative to Qing Shen
Qing Shen · 1×

Countries citing papers authored by Qing Shen

Since Specialization
Citations

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

Fields of papers citing papers by Qing Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Shen. A scholar is included among the top collaborators of Qing Shen 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 Qing Shen. Qing Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 0
4 7
5 3
6 1
7 1
8 5
9 2
10 5
11 1
12
Design and Experimental Verification of a Coaxial Mars Rotorcraft
2
13 11
14 44
15 32
16 1
17 92
18 24
19
Boundary transition research of scramjet inlet based on the Tollmien-Schlichting (T-S) wave syntony
1
20
Fast method of positional optimization on distance between hulls of a trimaran based on wave resistance
4

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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