Tun‐Min Jai

36 papers and 887 indexed citations i.

About

Tun‐Min Jai is a scholar working on Sociology and Political Science, Marketing and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Tun‐Min Jai has authored 36 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Sociology and Political Science, 21 papers in Marketing and 8 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Tun‐Min Jai’s work include Consumer Behavior in Brand Consumption and Identification (17 papers), Digital Marketing and Social Media (16 papers) and Environmental Sustainability in Business (8 papers). Tun‐Min Jai is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (17 papers), Digital Marketing and Social Media (16 papers) and Environmental Sustainability in Business (8 papers). Tun‐Min Jai collaborates with scholars based in United States, Australia and Taiwan. Tun‐Min Jai's co-authors include Xu Li, Hsiangting Shatina Chen, Nancy J. King, Hyo Jung Chang, Leslie Davis Burns, Dan Fang, Young Hoon Kim, Kelly Virginia Phelan, Michael W. O’Boyle and Natalia Velikova and has published in prestigious journals such as Computers in Human Behavior, Sustainability and International Journal of Hospitality Management.

In The Last Decade

Co-authorship network of co-authors of Tun‐Min Jai i

Fields of papers citing papers by Tun‐Min Jai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tun‐Min Jai. 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 Tun‐Min Jai. The network helps show where Tun‐Min Jai may publish in the future.

Countries citing papers authored by Tun‐Min Jai

Since Specialization
Citations

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