Sung-Jin Kim

About

Sung-Jin Kim is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Sung-Jin Kim has authored 42 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 10 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Sung-Jin Kim’s work include Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (8 papers) and Multimodal Machine Learning Applications (3 papers). Sung-Jin Kim is often cited by papers focused on Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (8 papers) and Multimodal Machine Learning Applications (3 papers). Sung-Jin Kim collaborates with scholars based in South Korea and United States. Sung-Jin Kim's co-authors include Taeshik Shon, Changhoon Lee, Brent Byunghoon Kang, Jinkook Kim, Hai‐Young Lee, Ken Choi, Hyunjin Kim, Kyungsu Kim, Nam‐Seok Joo and Kwang‐Min Kim and has published in prestigious journals such as Methods in enzymology on CD-ROM/Methods in enzymology, IEEE Access and Japanese Journal of Applied Physics.

In The Last Decade

Co-authorship network of co-authors of Sung-Jin Kim i

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Fields of papers citing papers by Sung-Jin Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung-Jin Kim. 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 Sung-Jin Kim. The network helps show where Sung-Jin Kim may publish in the future.

Countries citing papers authored by Sung-Jin Kim

Since Specialization

Citations

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