Yan Shen

58 papers and 731 indexed citations i.

About

Yan Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Yan Shen has authored 58 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 10 papers in Media Technology. Recurrent topics in Yan Shen’s work include Advanced Neural Network Applications (8 papers), Advanced Image Fusion Techniques (7 papers) and Advanced Image Processing Techniques (6 papers). Yan Shen is often cited by papers focused on Advanced Neural Network Applications (8 papers), Advanced Image Fusion Techniques (7 papers) and Advanced Image Processing Techniques (6 papers). Yan Shen collaborates with scholars based in China, United States and Australia. Yan Shen's co-authors include Bing Guo, Emilio Ferrara, Emily Chen, Julie Jiang, Kristina Lerman, Mi Zhang, Cordelia Schmid, Xuehan Xiong, Anurag Arnab and Ya-Li Hou and has published in prestigious journals such as Sensors, IEEE Access and Neurocomputing.

In The Last Decade

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

Fields of papers citing papers by Yan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yan Shen

Since Specialization
Citations

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