Ying Shen

114 papers and 2.6k indexed citations
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About

Ying Shen is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ying Shen has authored 114 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Artificial Intelligence, 17 papers in Molecular Biology and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ying Shen’s work include Topic Modeling (48 papers), Natural Language Processing Techniques (20 papers) and Advanced Graph Neural Networks (12 papers). Ying Shen is often cited by papers focused on Topic Modeling (48 papers), Natural Language Processing Techniques (20 papers) and Advanced Graph Neural Networks (12 papers). Ying Shen collaborates with scholars based in China, United States and Hong Kong. Ying Shen's co-authors include Linda M. Hendershot, Min Yang, Kai Lei, Laurent Meunier, Min Yang, Yaliang Li, Kyung Tae Chung, Zhou Zhao, Qiang Qu and Louis–Philippe Morency and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Co-authorship network of co-authors of Ying Shen

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

Ying Shen

108 papers receiving 2.5k citations

Fields of papers citing papers by Ying Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Shen

Since Specialization
Citations

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