Qing Shen

69 papers and 489 indexed citations i.

About

Qing Shen is a scholar working on Computational Mechanics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qing Shen has authored 69 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 14 papers in Artificial Intelligence and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qing Shen’s work include Computational Fluid Dynamics and Aerodynamics (11 papers), Fluid Dynamics and Turbulent Flows (9 papers) and Traffic Prediction and Management Techniques (7 papers). Qing Shen is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (11 papers), Fluid Dynamics and Turbulent Flows (9 papers) and Traffic Prediction and Management Techniques (7 papers). Qing Shen collaborates with scholars based in China, Japan and Saudi Arabia. Qing Shen's co-authors include Jungang Lou, Yunliang Jiang, Xiaojuan Ban, Ruiqin Wang, Xiaohua Qian, Xiaozhu Lin, Da‐jun Zhang, Yong Liu, Xiaobin Zhu and Jian‐bing Zhang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Medical Imaging and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Qing Shen i

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.

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).

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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2025