Kun Lü

79 papers and 694 indexed citations i.

About

Kun Lü is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Kun Lü has authored 79 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 22 papers in Molecular Biology and 17 papers in Information Systems. Recurrent topics in Kun Lü’s work include Biomedical Text Mining and Ontologies (14 papers), scientometrics and bibliometrics research (13 papers) and Advanced Text Analysis Techniques (12 papers). Kun Lü is often cited by papers focused on Biomedical Text Mining and Ontologies (14 papers), scientometrics and bibliometrics research (13 papers) and Advanced Text Analysis Techniques (12 papers). Kun Lü collaborates with scholars based in United States, China and Canada. Kun Lü's co-authors include Dietmar Wolfram, Jin Mao, Xiangming Mu, Gang Li, Soohyung Joo, Isola Ajiferuke, J. Zaborszky, G. Huang, Margaret E. I. Kipp and Shuo Xu and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Chemical Engineering Journal.

In The Last Decade

Co-authorship network of co-authors of Kun Lü i

Fields of papers citing papers by Kun Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Lü

Since Specialization
Citations

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