Sang-Gyun Na

13 papers and 322 indexed citations i.

About

Sang-Gyun Na is a scholar working on Sociology and Political Science, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sang-Gyun Na has authored 13 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sociology and Political Science, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Sang-Gyun Na’s work include Digital Marketing and Social Media (3 papers), Recommender Systems and Techniques (2 papers) and Customer Service Quality and Loyalty (2 papers). Sang-Gyun Na is often cited by papers focused on Digital Marketing and Social Media (3 papers), Recommender Systems and Techniques (2 papers) and Customer Service Quality and Loyalty (2 papers). Sang-Gyun Na collaborates with scholars based in South Korea, China and Latvia. Sang-Gyun Na's co-authors include Yongli Zhang, Tao Ding, Yingtang Zhou, Jing Chen, Lu Yu, Tiantian Zhang, Jaehyoung Kim, Yan Huang, Xin Liu and Jing Li and has published in prestigious journals such as Sustainability, Journal of Retailing and Consumer Services and Future Generation Computer Systems.

In The Last Decade

Co-authorship network of co-authors of Sang-Gyun Na i

Fields of papers citing papers by Sang-Gyun Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Gyun Na. 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 Sang-Gyun Na. The network helps show where Sang-Gyun Na may publish in the future.

Countries citing papers authored by Sang-Gyun Na

Since Specialization
Citations

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