Kan Xu

38 papers and 357 indexed citations i.

About

Kan Xu is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Kan Xu has authored 38 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 12 papers in Information Systems and 10 papers in Molecular Biology. Recurrent topics in Kan Xu’s work include Topic Modeling (17 papers), Advanced Text Analysis Techniques (12 papers) and Biomedical Text Mining and Ontologies (9 papers). Kan Xu is often cited by papers focused on Topic Modeling (17 papers), Advanced Text Analysis Techniques (12 papers) and Biomedical Text Mining and Ontologies (9 papers). Kan Xu collaborates with scholars based in China and United States. Kan Xu's co-authors include Hongfei Lin, Yuan Lin, Liang Yang, Bo Xu, Yufeng Diao, Zhihao Yang, Shengbo Liu, Gang Liu, Tao Li and Hong Sun and has published in prestigious journals such as Expert Systems with Applications, BMC Bioinformatics and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Kan Xu i

Fields of papers citing papers by Kan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kan Xu

Since Specialization
Citations

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