Jun Yao
Impact in
- Marketing top 5%
- Consumer Behavior in Brand Consumption and Identification
- Consumer Retail Behavior Studies
- Consumer Market Behavior and Pricing
Papers in
- Marketing 13
- Consumer Market Behavior and Pricing 9
- Consumer Behavior in Brand Consumption and Identification 8
- Consumer Retail Behavior Studies 4
- Co-authors
- Harmen Oppewal (7 shared papers)Di Wang (8 shared papers)Brett Martin (5 shared papers)Shijiao Chen (3 shared papers)Yi Li (3 shared papers)Guoxiu Wang (1 shared paper)Ru‐Shi Liu (1 shared paper)Huan Liu (1 shared paper)
In The Last Decade
Jun Yao
34 papers receiving 667 citations
Peers
Comparison fields: 5 of 102
- Marketing 206
- General Decision Sciences 18
- Organizational Behavior and Human Resource Management 85
- Tourism, Leisure and Hospitality Management 11
- Information Systems and Management 44
Countries citing papers authored by Jun Yao
This map shows the geographic impact of Jun Yao'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 Jun Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yao more than expected).
Fields of papers citing papers by Jun Yao
This network shows the impact of papers produced by Jun Yao. 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 Jun Yao. The network helps show where Jun Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 78 | |
| 2 | 2004 | 67 | |
| 3 | 2021 | 60 | |
| 4 | 2020 | 59 | |
| 5 | 2021 | 56 | |
| 6 | 2021 | 43 | |
| 7 | 2018 | 40 | |
| 8 | 2016 | 35 | |
| 9 | 2015 | 31 | |
| 10 | 2021 | 30 | |
| 11 | 2013 | 30 | |
| 12 | 2020 | 24 | |
| 13 | 2019 | 24 | |
| 14 | 2016 | 24 | |
| 15 | 2020 | 17 | |
| 16 | 2013 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2022 | 9 | |
| 19 | 2015 | 8 | |
| 20 | 2025 | 8 |
About Jun Yao
Jun Yao is a scholar working on Marketing, Sociology and Political Science, Information Systems, Computer Vision and Pattern Recognition and Organizational Behavior and Human Resource Management, having authored 39 papers that have together received 698 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (9 papers), Consumer Behavior in Brand Consumption and Identification (8 papers), Decision-Making and Behavioral Economics (4 papers), Consumer Retail Behavior Studies (4 papers), Advancements in Battery Materials (3 papers), Customer Service Quality and Loyalty (3 papers), Color perception and design (2 papers) and Advanced Battery Technologies Research (2 papers). The work is most often cited by research in Marketing (206 citations), General Decision Sciences (18 citations), Organizational Behavior and Human Resource Management (85 citations), Tourism, Leisure and Hospitality Management (11 citations) and Information Systems and Management (44 citations). Jun Yao has collaborated with scholars based in Australia, China and Vietnam. Frequent co-authors include Harmen Oppewal, Di Wang, Brett Martin, Shijiao Chen, Yi Li, Guoxiu Wang, Ru‐Shi Liu, Huan Liu, Svetlana Bogomolova and Eli Cohen. Their work appears in journals such as International Journal of Hospitality Management, Applied Sciences, Journal of Retailing, Journal of Hospitality and Tourism Management and Journal of the Academy of Marketing Science.
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.