Jay Yu
Impact in
- Marketing top 2%
- Consumer Behavior in Brand Consumption and Identification
- Consumer Retail Behavior Studies
- Environmental Sustainability in Business
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- Customer Service Quality and Loyalty
Papers in
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- Consumer Behavior in Brand Consumption and Identification 7
- Marketing and Advertising Strategies 2
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- Digital Marketing and Social Media 5
- Co-authors
- Tae Hyun Baek (1 shared paper)Jooyoung Kim (1 shared paper)Brenda J. Cude (2 shared papers)Marcus G. Pandy (1 shared paper)David C. Ackland (1 shared paper)Hye‐Jin Paek (1 shared paper)I‐Wei Chen (1 shared paper)Henry Du (1 shared paper)
- Journals
- Journal of International Consumer Marketing (1 paper)Psychology and Marketing (1 paper)Creativity Research Journal (1 paper)Journal of Biomechanics (1 paper)Appetite (1 paper)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Jay Yu
10 papers receiving 499 citations
Peers
Comparison fields: 5 of 83
- Marketing 345
- Organizational Behavior and Human Resource Management 167
- Information Systems and Management 66
- Tourism, Leisure and Hospitality Management 12
- Sociology and Political Science 293
Countries citing papers authored by Jay Yu
This map shows the geographic impact of Jay Yu'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 Jay Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Yu more than expected).
Fields of papers citing papers by Jay Yu
This network shows the impact of papers produced by Jay Yu. 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 Jay Yu. The network helps show where Jay Yu may publish in the future.
Co-authors
The 9 scholars most cited alongside Jay Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 350 | |
| 2 | 2009 | 56 | |
| 3 | 2011 | 32 | |
| 4 | 2009 | 31 | |
| 5 | 2004 | 20 | |
| 6 | 2010 | 15 | |
| 7 | 2012 | 15 | |
| 8 | 2009 | 14 | |
| 9 | 2015 | 11 | |
| 10 | 2018 | 2 | |
| 11 | 2011 | 1 |
About Jay Yu
Jay Yu is a scholar working on Marketing, Sociology and Political Science, Organizational Behavior and Human Resource Management, Surgery and General Health Professions, having authored 11 papers that have together received 547 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (7 papers), Digital Marketing and Social Media (5 papers), Marketing and Advertising Strategies (2 papers), Customer Service Quality and Loyalty (2 papers), Magnesium Oxide Properties and Applications (1 paper), Behavioral Health and Interventions (1 paper), Shoulder and Clavicle Injuries (1 paper) and Media, Gender, and Advertising (1 paper). The work is most often cited by research in Marketing (345 citations), Organizational Behavior and Human Resource Management (167 citations), Information Systems and Management (66 citations), Tourism, Leisure and Hospitality Management (12 citations) and Sociology and Political Science (293 citations). Jay Yu has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Tae Hyun Baek, Jooyoung Kim, Brenda J. Cude, Marcus G. Pandy, David C. Ackland, Hye‐Jin Paek, I‐Wei Chen, Henry Du and Karen Whitehill King. Their work appears in journals such as Journal of International Consumer Marketing, Psychology and Marketing, Creativity Research Journal, Journal of Biomechanics and Appetite.
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.