Naehyun Jin

32 papers receiving 1.2k citations

Hit Papers

The Effect of Experience Quality on Perceived Value, Sati...20132026201720212013100200300

Peers

Naehyun Jin
Comparison fields: 5 of 68
  • Sociology and Political Science 814
  • Marketing 710
  • Organizational Behavior and Human Resource Management 608
  • Food Science 122
  • Information Systems and Management 94
Replace David J. Kwun with:
David J. Kwun United States
Andrew Walls United States
Cedric Hsi‐Jui Wu Taiwan
Taehee Kim South Korea
Hanqun Song United Kingdom
Ahmet Uşaklı Türkiye
Leif E. Hem Norway
Ruomei Feng United States
Nina M. Iversen Norway
Chi-Han Ai China
Naehyun Jin relative to David J. Kwun United States David J. Kwun's profile →
Citations per field
00.5×1.6×
David J. Kwun · 1×
Citations per year

Countries citing papers authored by Naehyun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Naehyun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naehyun Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Naehyun Jin. A scholar is included among the top collaborators of Naehyun Jin 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 Naehyun Jin. Naehyun Jin 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
#WorkIndexed citations
1 3
2 4
3 2
4 3
5 16
6 3
7 9
8 46
9 18
10
Predictors and Consequences of Brand Preference in Luxury Restaurants
2
11 11
12 26
13 50
14 26
15
The Effect of Experience Quality on Perceived Value, Satisfaction, Image and Behavioral Intention of Water Park Patrons: New versus Repeat Visitorsbreakdown →
364
16 11
17 173
18 140
19 1
20
Characteristics and Perception of Healthy Food as Perceived by College Students
1

About Naehyun Jin

Naehyun Jin is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Applied Psychology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (26 papers), Consumer Behavior in Brand Consumption and Identification (20 papers) and Consumer Retail Behavior Studies (17 papers). The work is most often cited by research in Marketing (710 citations), Organizational Behavior and Human Resource Management (608 citations) and Tourism, Leisure and Hospitality Management (62 citations). Naehyun Jin has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Sangmook Lee, Nathaniel D. Line, Ben K. Goh, Lynn Huffman, Jerusalem Merkebu, Jingxue Yuan, Hak‐Seon Kim, Bee‐Lia Chua, Ram Gopalan and Seoki Lee. Their work appears in journals such as ACS Applied Materials & Interfaces, International Journal of Contemporary Hospitality Management and Journal of Travel & Tourism Marketing.

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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