Sheng Yü

234 total papers · 5.5k total citations
114 papers, 2.0k citations indexed

About

Sheng Yü is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Sheng Yü has authored 114 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computational Theory and Mathematics, 52 papers in Artificial Intelligence and 42 papers in Molecular Biology. Recurrent topics in Sheng Yü’s work include semigroups and automata theory (64 papers), DNA and Biological Computing (37 papers) and Algorithms and Data Compression (20 papers). Sheng Yü is often cited by papers focused on semigroups and automata theory (64 papers), DNA and Biological Computing (37 papers) and Algorithms and Data Compression (20 papers). Sheng Yü collaborates with scholars based in Canada, China and Finland. Sheng Yü's co-authors include Kai Salomaa, Arto Salomaa, Karel Čulík, X. T. Feng, Jianxin Deng, Youqiang Xing, Alexandru Mateescu, Cezar Câmpeanu, Lucian Ilie and Lila Kari and has published in prestigious journals such as Nature Communications, Nano Letters and ACS Nano.

Co-authorship network of co-authors of Sheng Yü

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

Sheng Yü

108 papers receiving 1.9k citations

Fields of papers citing papers by Sheng Yü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sheng Yü

Since Specialization
Citations

This map shows the geographic impact of Sheng Yü'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 Sheng Yü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Yü 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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2026