U Kang

259 total papers · 6.4k total citations
85 papers, 1.0k citations indexed

About

U Kang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, U Kang has authored 85 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 34 papers in Computer Vision and Pattern Recognition and 18 papers in Statistical and Nonlinear Physics. Recurrent topics in U Kang’s work include Advanced Graph Neural Networks (22 papers), Graph Theory and Algorithms (20 papers) and Complex Network Analysis Techniques (18 papers). U Kang is often cited by papers focused on Advanced Graph Neural Networks (22 papers), Graph Theory and Algorithms (20 papers) and Complex Network Analysis Techniques (18 papers). U Kang collaborates with scholars based in South Korea, United States and China. U Kang's co-authors include Christos Faloutsos, K.D. Wise, Yongsub Lim, Charalampos E. Tsourakakis, Lee Sael, Jinhong Jung, Youngho Lee, Jaemin Yoo, Kijung Shin and Woojeong Jin and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and IEEE Access.

Co-authorship network of co-authors of U Kang

This figure shows the co-authorship network connecting the top 25 collaborators of U Kang. A scholar is included among the top collaborators of U Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with U Kang. U Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

U Kang

78 papers receiving 1.0k citations

Fields of papers citing papers by U Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by U Kang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2026