Tun‐Min Jai

1.5k total citations
39 papers, 1.1k citations indexed

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 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Sociology and Political Science, 23 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 (18 papers), Digital Marketing and Social Media (16 papers) and Environmental Sustainability in Business (9 papers). Tun‐Min Jai is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (18 papers), Digital Marketing and Social Media (16 papers) and Environmental Sustainability in Business (9 papers). Tun‐Min Jai collaborates with scholars based in United States, Australia and Malaysia. 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, Natalia Velikova, Stacy Lee and Kelly Virginia Phelan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Sustainability.

In The Last Decade

Tun‐Min Jai

38 papers receiving 1.0k citations

Peers

Tun‐Min Jai
Comparison fields: 5 of 73
  • Marketing 701
  • Sociology and Political Science 595
  • Organizational Behavior and Human Resource Management 182
  • Information Systems and Management 159
  • Management, Monitoring, Policy and Law 134
Replace Hsiu‐Hua Chang with:
Hsiu‐Hua Chang Taiwan
Yixing Gao Hong Kong
Jookyung Kwon South Korea
Hyun Jung Park South Korea
Aristeidis Theotokis Greece
Estrella Díaz Spain
Haroon Iqbal Maseeh Australia
Mohammed Naved Khan India
Alberto Pastore Italy
Rhonda W. Mack United States
Hsiu‐Hua Chang Taiwan View profile →
Citations per field, relative to Tun‐Min Jai
Tun‐Min Jai · 1×
Citations per year, relative to Tun‐Min Jai
Tun‐Min Jai · 1×

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Tun‐Min Jai. A scholar is included among the top collaborators of Tun‐Min Jai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tun‐Min Jai. Tun‐Min Jai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 33
4 11
5 3
6 15
7 1
8 73
9 31
10 27
11 52
12 12
13 9
14 157
15 5
16 8
17 0
18 31
19 13
20 61

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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2026