Keyu Liu

47 papers and 915 indexed citations i.

About

Keyu Liu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Keyu Liu has authored 47 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 34 papers in Computational Theory and Mathematics and 22 papers in Information Systems. Recurrent topics in Keyu Liu’s work include Rough Sets and Fuzzy Logic (33 papers), Data Mining Algorithms and Applications (21 papers) and Text and Document Classification Technologies (17 papers). Keyu Liu is often cited by papers focused on Rough Sets and Fuzzy Logic (33 papers), Data Mining Algorithms and Applications (21 papers) and Text and Document Classification Technologies (17 papers). Keyu Liu collaborates with scholars based in China, Japan and Taiwan. Keyu Liu's co-authors include Xibei Yang, Tianrui Li, Hamido Fujita, Yuhua Qian, Dun Liu, Hualong Yu, Xin Yang, Zhong Yuan, Xiangjian Chen and Pengfei Zhang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Keyu Liu i

Fields of papers citing papers by Keyu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Keyu Liu

Since Specialization
Citations

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