Yilin Shen

58 papers and 852 indexed citations i.

About

Yilin Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Yilin Shen has authored 58 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Yilin Shen’s work include Multimodal Machine Learning Applications (13 papers), Topic Modeling (12 papers) and Complex Network Analysis Techniques (11 papers). Yilin Shen is often cited by papers focused on Multimodal Machine Learning Applications (13 papers), Topic Modeling (12 papers) and Complex Network Analysis Techniques (11 papers). Yilin Shen collaborates with scholars based in United States, China and Canada. Yilin Shen's co-authors include My T. Thai, Hongxia Jin, Dung T. Nguyen, Nam P. Nguyen, Thang N. Dinh, Xuan Ying, Yen-Chang Hsu, Ramprasaath R. Selvaraju, Devi Parikh and Dhruv Batra and has published in prestigious journals such as Nature Communications, PLoS ONE and IEEE Transactions on Communications.

In The Last Decade

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

Fields of papers citing papers by Yilin Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yilin Shen

Since Specialization
Citations

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