Doo-Kwon Baik

52 papers and 269 indexed citations i.

About

Doo-Kwon Baik is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Doo-Kwon Baik has authored 52 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 26 papers in Information Systems and 20 papers in Computer Networks and Communications. Recurrent topics in Doo-Kwon Baik’s work include Semantic Web and Ontologies (13 papers), QoS-Aware Web Services Composition and Semantic Matching (11 papers) and Innovation in Digital Healthcare Systems (8 papers). Doo-Kwon Baik is often cited by papers focused on Semantic Web and Ontologies (13 papers), QoS-Aware Web Services Composition and Semantic Matching (11 papers) and Innovation in Digital Healthcare Systems (8 papers). Doo-Kwon Baik collaborates with scholars based in South Korea and United States. Doo-Kwon Baik's co-authors include Dongwon Jeong, Young‐Gab Kim, Young-Duk Seo, Euijong Lee, Chang-Joo Moon, Sukhoon Lee, Eunae Cho, Jeong‐Dong Kim, Jinhyung Kim and Mi‐Young Choi 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 Doo-Kwon Baik i

Fields of papers citing papers by Doo-Kwon Baik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doo-Kwon Baik. 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 Doo-Kwon Baik. The network helps show where Doo-Kwon Baik may publish in the future.

Countries citing papers authored by Doo-Kwon Baik

Since Specialization
Citations

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