Doo-Kwon Baik

996 citations
105 papers · 566 · h-index 11

Impact in

Papers in

    • Service-Oriented Architecture and Web Services 31
    • Semantic Web and Ontologies 28
    • Advanced Software Engineering Methodologies 10
    • Privacy-Preserving Technologies in Data 7

Doo-Kwon Baik

91 papers receiving 518 citations

Peers

Doo-Kwon Baik
Comparison fields: 5 of 76
  • Information Systems 239
  • Computer Networks and Communications 197
  • Artificial Intelligence 270
  • Management Information Systems 47
  • Computer Science Applications 23
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Citations per field
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Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Doo-Kwon Baik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Doo-Kwon Baik Line = papers co-authored together Doo-Kwon Baik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200680
2 201872
3 200420
4 201019
5 200815
6 200814
7 201613
8 200713
9 198513
10 200612
11 200512
12 20069
13 20119
14 20068
15 19998
16 19927
17 20097
18 20057
19 20097
20 20156

About Doo-Kwon Baik

Doo-Kwon Baik is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science and Management Science and Operations Research, having authored 105 papers that have together received 566 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (31 papers), Semantic Web and Ontologies (28 papers), Advanced Database Systems and Queries (19 papers), Access Control and Trust (14 papers), Innovation in Digital Healthcare Systems (12 papers), Data Quality and Management (11 papers), Advanced Software Engineering Methodologies (10 papers) and Privacy-Preserving Technologies in Data (7 papers). The work is most often cited by research in Information Systems (239 citations), Computer Networks and Communications (197 citations), Artificial Intelligence (270 citations), Management Information Systems (47 citations) and Computer Science Applications (23 citations). Doo-Kwon Baik has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Young‐Gab Kim, Chang-Joo Moon, Dongwon Jeong, Euijong Lee, Young-Duk Seo, Eunae Cho, Mi‐Young Choi, Bernard P. Zeigler, Jeong‐Dong Kim and Sukhoon Lee. Their work appears in journals such as IEEE Transactions on Consumer Electronics, IEEE Access, Journal of Information Science, Journal of Intelligent Information Systems and Journal of Network and Computer Applications.

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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