Yu Shen

About

Yu Shen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yu Shen has authored 31 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yu Shen’s work include Machine Learning and Data Classification (10 papers), Machine Learning and Algorithms (6 papers) and Vehicle Routing Optimization Methods (3 papers). Yu Shen is often cited by papers focused on Machine Learning and Data Classification (10 papers), Machine Learning and Algorithms (6 papers) and Vehicle Routing Optimization Methods (3 papers). Yu Shen collaborates with scholars based in China, Switzerland and United States. Yu Shen's co-authors include Bin Cui, Wentao Zhang, Run Wang, Feng Shen, Jean‐Yves Potvin, Zhi Yang, Jean‐Marc Rousseau, Ce Zhang, Yang Li and Yang Li and has published in prestigious journals such as Bioinformatics, Frontiers in Immunology and Expert Systems with Applications.

In The Last Decade

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

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Fields of papers citing papers by Yu Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu Shen

Since Specialization

Citations

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