Liangjun Yu

9 papers and 331 indexed citations i.

About

Liangjun Yu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Liangjun Yu has authored 9 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 5 papers in Information Systems. Recurrent topics in Liangjun Yu’s work include Bayesian Modeling and Causal Inference (9 papers), Rough Sets and Fuzzy Logic (7 papers) and Data Mining Algorithms and Applications (5 papers). Liangjun Yu is often cited by papers focused on Bayesian Modeling and Causal Inference (9 papers), Rough Sets and Fuzzy Logic (7 papers) and Data Mining Algorithms and Applications (5 papers). Liangjun Yu collaborates with scholars based in China. Liangjun Yu's co-authors include Liangxiao Jiang, Lungan Zhang, Dianhong Wang, Huan Zhang, Wenqiang Xu and Yu Chen and has published in prestigious journals such as IEEE Access, Information Sciences and Pattern Recognition.

In The Last Decade

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

Fields of papers citing papers by Liangjun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liangjun Yu

Since Specialization
Citations

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