Jangsun Baek

23 papers and 255 indexed citations i.

About

Jangsun Baek is a scholar working on Artificial Intelligence, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Jangsun Baek has authored 23 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Molecular Biology and 4 papers in Statistics and Probability. Recurrent topics in Jangsun Baek’s work include Gene expression and cancer classification (7 papers), Bayesian Methods and Mixture Models (5 papers) and Advanced Clustering Algorithms Research (4 papers). Jangsun Baek is often cited by papers focused on Gene expression and cancer classification (7 papers), Bayesian Methods and Mixture Models (5 papers) and Advanced Clustering Algorithms Research (4 papers). Jangsun Baek collaborates with scholars based in South Korea, Australia and United States. Jangsun Baek's co-authors include Geoffrey J. McLachlan, L.K. Flack, Jeong‐Soo Park, Min‐Soo Kim, Thomas E. Wehrly, Je‐Hwan Lee, Mark D. Fisk, H. L. Gray, Lili Zhang and Zhong‐Lin Lu and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Jangsun Baek i

Fields of papers citing papers by Jangsun Baek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jangsun Baek

Since Specialization
Citations

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