Irina Y. Yu
- Marketing top 2%
- Sociology and Political Science top 5%
- Organizational Behavior and Human Resource Management top 5%
- Information Systems and Management top 5%
- Strategy and Management top 10%
- Topics
- Job Satisfaction and Organizational Behavior (6 papers)Digital Marketing and Social Media (5 papers)Customer Service Quality and Loyalty (5 papers)
- Cited by
- MarketingInformation Systems and ManagementOrganizational Behavior and Human Resource Management
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Irina Y. Yu
17 papers receiving 499 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Marketing 302
- Sociology and Political Science 300
- Organizational Behavior and Human Resource Management 105
- Information Systems and Management 85
- Strategy and Management 73
Countries citing papers authored by Irina Y. Yu
This map shows the geographic impact of Irina Y. 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 Irina Y. Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Y. Yu more than expected).
Fields of papers citing papers by Irina Y. Yu
This network shows the impact of papers produced by Irina Y. 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 Irina Y. Yu. The network helps show where Irina Y. Yu may publish in the future.
Co-authorship network of co-authors of Irina Y. Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Irina Y. Yu. A scholar is included among the top collaborators of Irina Y. Yu 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 Irina Y. Yu. Irina Y. Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 9 | |
| 4 | 7 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | Creating immersive and parasocial live shopping experience for viewers: the role of streamers' interactional communication stylebreakdown → | 147 |
| 8 | 19 | |
| 9 | 31 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 20 | |
| 13 | 123 | |
| 14 | 35 | |
| 15 | 8 | |
| 16 | 20 | |
| 17 | 3 | |
| 18 | 47 |
About Irina Y. Yu
Irina Y. Yu is a scholar working on Marketing, Applied Psychology and Organizational Behavior and Human Resource Management, having authored 18 papers that have together received 511 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (6 papers), Digital Marketing and Social Media (5 papers) and Customer Service Quality and Loyalty (5 papers). The work is most often cited by research in Marketing (302 citations), Information Systems and Management (85 citations) and Organizational Behavior and Human Resource Management (105 citations). Irina Y. Yu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Morgan X. Yang, Kevin J. Zeng, Ji Li, Junyun Liao, Wenting Feng, Haksin Chan, Rungting Tu, Jianmin Sun, Henry Fock and Silu Chen. Their work appears in journals such as Journal of Business Research, Tourism Management and Sustainability.
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.