Jun‐Ki Min

59 papers and 408 indexed citations i.

About

Jun‐Ki Min is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Jun‐Ki Min has authored 59 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 21 papers in Signal Processing and 18 papers in Artificial Intelligence. Recurrent topics in Jun‐Ki Min’s work include Data Management and Algorithms (18 papers), Advanced Database Systems and Queries (13 papers) and Energy Efficient Wireless Sensor Networks (9 papers). Jun‐Ki Min is often cited by papers focused on Data Management and Algorithms (18 papers), Advanced Database Systems and Queries (13 papers) and Energy Efficient Wireless Sensor Networks (9 papers). Jun‐Ki Min collaborates with scholars based in South Korea, United States and Canada. Jun‐Ki Min's co-authors include Chin‐Wan Chung, Kyuseok Shim, Sung‐Bae Cho, Jin-Hyuk Hong, Ji‐Hyun Lee, Kyuseok Shim, Alice Oh, Younho Cho, Raymond T. Ng and Jaesun Lee and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Jun‐Ki Min i

Fields of papers citing papers by Jun‐Ki Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Ki Min. 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 Jun‐Ki Min. The network helps show where Jun‐Ki Min may publish in the future.

Countries citing papers authored by Jun‐Ki Min

Since Specialization
Citations

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