Yunku Yeu

11 papers and 318 indexed citations i.

About

Yunku Yeu is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Yunku Yeu has authored 11 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Yunku Yeu’s work include Bioinformatics and Genomic Networks (4 papers), Machine Learning in Bioinformatics (3 papers) and Gene expression and cancer classification (3 papers). Yunku Yeu is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Machine Learning in Bioinformatics (3 papers) and Gene expression and cancer classification (3 papers). Yunku Yeu collaborates with scholars based in United States and South Korea. Yunku Yeu's co-authors include Sanghyun Park, Tae Hyun Hwang, Youngmi Yoon, Jean R. Clemenceau, James Kim, Zhen Tan, David H. Mathews, Xiaofeng Wu, Lawrence Lum and John T. Piazza and has published in prestigious journals such as Nature Communications, Cancer Research and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Yunku Yeu i

Fields of papers citing papers by Yunku Yeu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yunku Yeu

Since Specialization
Citations

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