Kuo-Ching Wang

19 papers receiving 1.0k citations

Peers

Kuo-Ching Wang
Comparison fields: 5 of 86
  • Tourism, Leisure and Hospitality Management 127
  • Marketing 406
  • Organizational Behavior and Human Resource Management 395
  • Transportation 197
  • Sociology and Political Science 835
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Connie Mok United States
Tekle Shanka Australia
Sergio Moreno Gil Spain
Tony S. M. Tse Hong Kong
James C. Makens United States
Stuart E. Levy United States
Nelson K. F. Tsang Hong Kong
Andreas H. Zins Austria
Chang Huh United States
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Citations per field
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Citations per year

Countries citing papers authored by Kuo-Ching Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kuo-Ching Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo-Ching Wang. 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 Kuo-Ching Wang. The network helps show where Kuo-Ching Wang may publish in the future.

Co-authors

The 15 scholars most cited alongside Kuo-Ching Wang, 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 Kuo-Ching Wang Line = papers co-authored together Kuo-Ching Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2000191
2 2003157
3 2002108
4 2006105
5 200661
6 200960
7 200658
8 201152
9 201251
10 201246
11 200946
12 200740
13 200839
14 200637
15 201627
16 201021
17 201317
18 201613
19 20094
20 20072

About Kuo-Ching Wang

Kuo-Ching Wang is a scholar working on Sociology and Political Science, Organizational Behavior and Human Resource Management, Marketing, Gender Studies and Transportation, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (12 papers), Diverse Aspects of Tourism Research (8 papers), Consumer Behavior in Brand Consumption and Identification (7 papers), Digital Marketing and Social Media (7 papers), Media, Gender, and Advertising (2 papers), Hospitality and Tourism Education (2 papers), Psychology of Social Influence (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Tourism, Leisure and Hospitality Management (127 citations), Marketing (406 citations), Organizational Behavior and Human Resource Management (395 citations), Transportation (197 citations) and Sociology and Political Science (835 citations). Kuo-Ching Wang has collaborated with scholars based in Taiwan, South Korea and United States. Frequent co-authors include Seongseop Kim, Tzung-Cheng Huan, Jerome Agrusa, Yingzhi Guo, Dallen J. Timothy, Chin‐Tsai Lin, Joseph S. Chen, Youngmi Kim, Che‐Jen Su and Hsin-yi Sandy Tsai. Their work appears in journals such as Tourism Management, International Journal of Hospitality Management, Journal of Business Research, International Journal of Advertising and International Journal of Contemporary Hospitality 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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