Seunghun Shin

1.5k citations
78 papers · 974 indexed · 1 hit paper · h-index 15

Seunghun Shin

67 papers receiving 926 citations

Hit Papers

Artificial Intelligence in Hospitality and Tourism: Insig...512024202620251020304050

Peers

Seunghun Shin
Comparison fields: 5 of 101
  • Marketing 297
  • Information Systems and Management 136
  • Tourism, Leisure and Hospitality Management 29
  • Sociology and Political Science 574
  • Organizational Behavior and Human Resource Management 119
Replace Yinghua Huang with:
Yinghua Huang China
Minglong Li China
Jason L. Stienmetz Austria
Dongjin Li China
Manish Gangwar United States
Ahmed Rageh Ismail Malaysia
Jaehun Joo South Korea
Seunghun Shin relative to Yinghua Huang China Yinghua Huang's profile →
Citations per field
00.5×1.5×
Yinghua Huang · 1×
Citations per year

Countries citing papers authored by Seunghun Shin

Since Specialization
Citations

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

Fields of papers citing papers by Seunghun Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Seunghun Shin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Seunghun Shin Line = papers co-authored together Seunghun Shin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20245
4 202411
5 20242
6 202413
7 202411
8 20231
9 202338
10 20232
11 20236
12 20214
13 20214
14
Social Media-Induced Tourism: A Conceptual Framework
20208
15 20201
16 20201
17 20198
18 20180
19
Examining Technology Perception and User Competence on Two Types of Smartphone Usages
20151
20 20120

About Seunghun Shin

Seunghun Shin is a scholar working on Tourism, Leisure and Hospitality Management, Marketing and Energy Engineering and Power Technology, having authored 78 papers that have together received 974 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (23 papers), Diverse Aspects of Tourism Research (10 papers), Technology Adoption and User Behaviour (8 papers), Education and Learning Interventions (7 papers), Consumer Behavior in Brand Consumption and Identification (7 papers), Network Security and Intrusion Detection (6 papers), Customer Service Quality and Loyalty (6 papers) and Educational Systems and Policies (5 papers). The work is most often cited by research in Marketing (297 citations), Information Systems and Management (136 citations) and Tourism, Leisure and Hospitality Management (29 citations). Seunghun Shin has collaborated with scholars based in South Korea, Hong Kong and United States. Frequent co-authors include Chulmo Koo, Namho Chung, Zheng Xiang, Sung‐Byung Yang, Byeong‐hee Roh, Youhee Joun, Ulrike Gretzel, Juan Luis Nicolau, William Cannon Hunter and Jungkeun Kim. Their work appears in journals such as ACS Nano, Scientific Reports and Tourism Management.

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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