Qing Shen
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Control and Systems Engineering top 10%
- Building and Construction top 10%
- Co-authors
- Jungang LouYunliang JiangXiaojuan BanRuiqin WangXiaozhu LinXiaohua QianMingfei GaoZhuangzi Li
- Topics
- Computational Fluid Dynamics and Aerodynamics (16 papers)Fluid Dynamics and Turbulent Flows (14 papers)Traffic Prediction and Management Techniques (10 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Qing Shen
75 papers receiving 638 citations
Peers
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
Countries citing papers authored by Qing Shen
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
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
| # | 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 |
About Qing Shen
Qing Shen is a scholar working on Computational Mechanics, Software and Transportation, having authored 84 papers that have together received 651 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (16 papers), Fluid Dynamics and Turbulent Flows (14 papers) and Traffic Prediction and Management Techniques (10 papers). The work is most often cited by research in Health Informatics (14 citations), Computer Vision and Pattern Recognition (140 citations) and Software (23 citations). Qing Shen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jungang Lou, Yunliang Jiang, Xiaojuan Ban, Ruiqin Wang, Xiaozhu Lin, Xiaohua Qian, Mingfei Gao, Zhuangzi Li, Stephen Wu and Zechao Li. Their work appears in journals such as IEEE Access, IEEE Transactions on Medical Imaging and BMC Bioinformatics.
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.