Chang‐Hyun Jin

46 papers and 642 indexed citations i.

About

Chang‐Hyun Jin is a scholar working on Marketing, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, Chang‐Hyun Jin has authored 46 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Marketing, 22 papers in Sociology and Political Science and 13 papers in Information Systems and Management. Recurrent topics in Chang‐Hyun Jin’s work include Consumer Behavior in Brand Consumption and Identification (18 papers), Digital Marketing and Social Media (15 papers) and Technology Adoption and User Behaviour (10 papers). Chang‐Hyun Jin is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (18 papers), Digital Marketing and Social Media (15 papers) and Technology Adoption and User Behaviour (10 papers). Chang‐Hyun Jin collaborates with scholars based in South Korea, Latvia and China. Chang‐Hyun Jin's co-authors include Jorge Villegas, Yuxin Wang, Chi Wai Kan, Jeong Kim and Zhihong Jin and has published in prestigious journals such as Computers in Human Behavior, Information & Management and Sustainability.

In The Last Decade

Co-authorship network of co-authors of Chang‐Hyun Jin i

Fields of papers citing papers by Chang‐Hyun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐Hyun Jin. 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 Chang‐Hyun Jin. The network helps show where Chang‐Hyun Jin may publish in the future.

Countries citing papers authored by Chang‐Hyun Jin

Since Specialization
Citations

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