Hong‐Gee Kim

124 papers and 1.4k indexed citations i.

About

Hong‐Gee Kim is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Hong‐Gee Kim has authored 124 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 36 papers in Molecular Biology and 26 papers in Information Systems. Recurrent topics in Hong‐Gee Kim’s work include Semantic Web and Ontologies (25 papers), Biomedical Text Mining and Ontologies (14 papers) and QoS-Aware Web Services Composition and Semantic Matching (9 papers). Hong‐Gee Kim is often cited by papers focused on Semantic Web and Ontologies (25 papers), Biomedical Text Mining and Ontologies (14 papers) and QoS-Aware Web Services Composition and Semantic Matching (9 papers). Hong‐Gee Kim collaborates with scholars based in South Korea, United States and Ireland. Hong‐Gee Kim's co-authors include Bo‐Yeong Kang, Youn‐Jung Son, Soo‐Kyoung Lee, Sungin Lee, Hai-Tao Zheng, John G. Breslin, Eunae Cho, Steven Lee, Seung‐Hak Baek and In‐Hwan Oh and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Biomaterials.

In The Last Decade

Co-authorship network of co-authors of Hong‐Gee Kim i

Fields of papers citing papers by Hong‐Gee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hong‐Gee Kim

Since Specialization
Citations

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