Hyun Kim

30 papers and 379 indexed citations i.

About

Hyun Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Hyun Kim has authored 30 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Hyun Kim’s work include Manufacturing Process and Optimization (8 papers), Natural Language Processing Techniques (5 papers) and QoS-Aware Web Services Composition and Semantic Matching (5 papers). Hyun Kim is often cited by papers focused on Manufacturing Process and Optimization (8 papers), Natural Language Processing Techniques (5 papers) and QoS-Aware Web Services Composition and Semantic Matching (5 papers). Hyun Kim collaborates with scholars based in South Korea and United States. Hyun Kim's co-authors include Jae Yeol Lee, Ji Yeon Son, Sang Do Noh, Sung-Ju Im, Kyu Tae Park, Hyung Sun Kim, Joo-Haeng Lee, Seung‐Hoon Na, Kim Js and Kwangsoo Kim and has published in prestigious journals such as The International Journal of Advanced Manufacturing Technology, Computers & Industrial Engineering and Future Generation Computer Systems.

In The Last Decade

Co-authorship network of co-authors of Hyun Kim i

Fields of papers citing papers by Hyun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hyun Kim

Since Specialization
Citations

This map shows the geographic impact of Hyun 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 Hyun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun 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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2025