Won Sug Shin

17 papers and 622 indexed citations i.

About

Won Sug Shin is a scholar working on Education, Information Systems and Gender Studies. According to data from OpenAlex, Won Sug Shin has authored 17 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Education, 6 papers in Information Systems and 5 papers in Gender Studies. Recurrent topics in Won Sug Shin’s work include Education and Technology Integration (6 papers), Gender and Technology in Education (5 papers) and Online and Blended Learning (4 papers). Won Sug Shin is often cited by papers focused on Education and Technology Integration (6 papers), Gender and Technology in Education (5 papers) and Online and Blended Learning (4 papers). Won Sug Shin collaborates with scholars based in South Korea and United States. Won Sug Shin's co-authors include Insook Han, Yujung Ko, Minseok Kang, Changhee Kim, Yong Ju Jung, Soo–yong Byun, In‐Suk Kim and Seungyeon Han and has published in prestigious journals such as Computers & Education, IEEE Access and Teaching and Teacher Education.

In The Last Decade

Co-authorship network of co-authors of Won Sug Shin i

Fields of papers citing papers by Won Sug Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Sug Shin. 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 Won Sug Shin. The network helps show where Won Sug Shin may publish in the future.

Countries citing papers authored by Won Sug Shin

Since Specialization
Citations

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