SeongKu Kang

22 papers and 124 indexed citations i.

About

SeongKu Kang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, SeongKu Kang has authored 22 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in SeongKu Kang’s work include Recommender Systems and Techniques (12 papers), Topic Modeling (5 papers) and Advanced Bandit Algorithms Research (5 papers). SeongKu Kang is often cited by papers focused on Recommender Systems and Techniques (12 papers), Topic Modeling (5 papers) and Advanced Bandit Algorithms Research (5 papers). SeongKu Kang collaborates with scholars based in South Korea, United States and China. SeongKu Kang's co-authors include Hwanjo Yu, Dongha Lee, Chanyoung Park, Hwanjo Yu, Jianxun Lian, Xing Xie, Jiawei Han, Jiaming Shen, Su Yeon Kim and Jiawei Han and has published in prestigious journals such as Information Sciences, Knowledge-Based Systems and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of SeongKu Kang i

Fields of papers citing papers by SeongKu Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by SeongKu Kang

Since Specialization
Citations

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

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2025