Sanggil Kang

About

Sanggil Kang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sanggil Kang has authored 40 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Information Systems and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sanggil Kang’s work include Recommender Systems and Techniques (8 papers), Multimedia Communication and Technology (5 papers) and Video Analysis and Summarization (5 papers). Sanggil Kang is often cited by papers focused on Recommender Systems and Techniques (8 papers), Multimedia Communication and Technology (5 papers) and Video Analysis and Summarization (5 papers). Sanggil Kang collaborates with scholars based in South Korea and United States. Sanggil Kang's co-authors include Jae Kwon Kim, Yujin Lim, Hak‐Man Kim, Sung‐Joon Park, Can Işık, Young‐Kuk Kim, Sungjoon Park, Sangyoon Oh, Tamer Abuhmed and Tai-hoon Kim and has published in prestigious journals such as Sensors, Neurocomputing and Electronics Letters.

In The Last Decade

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

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Fields of papers citing papers by Sanggil Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sanggil Kang

Since Specialization

Citations

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