Jun Yao

968 citations
38 papers · 671 · h-index 15

Impact in

  • Marketing top 5%
    • Consumer Behavior in Brand Consumption and Identification
    • Consumer Retail Behavior Studies
    • Consumer Market Behavior and Pricing

Papers in

Jun Yao

33 papers receiving 637 citations

Peers

Jun Yao
Comparison fields: 5 of 105
  • Marketing 202
  • General Decision Sciences 18
  • Organizational Behavior and Human Resource Management 83
  • Tourism, Leisure and Hospitality Management 11
  • Information Systems and Management 41
Replace Paulo Albuquerque with:
Paulo Albuquerque United States
Daria Dzyabura United States
Andrés Musalem Chile
Carrie M. Heilman United States
Matteo Montecchi United Kingdom
Benedikt Berger Germany
Seunghun Shin South Korea
Huiyue Ye Macao
Jun Yao relative to Paulo Albuquerque United States Paulo Albuquerque's profile →
Citations per field
00.5×1.5×
Paulo Albuquerque · 1×
Citations per year

Countries citing papers authored by Jun Yao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200678
2 200467
3 202159
4 202056
5 202151
6 202143
7 201839
8 201635
9 201531
10 201329
11 202128
12 201923
13 202023
14 201622
15 202017
16 202211
17 201311
18 20158
19 20227
20 20216

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 38 papers that have together received 671 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), Customer Service Quality and Loyalty (3 papers), Advancements in Battery Materials (3 papers), Data Management and Algorithms (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Marketing (202 citations), General Decision Sciences (18 citations), Organizational Behavior and Human Resource Management (83 citations), Tourism, Leisure and Hospitality Management (11 citations) and Information Systems and Management (41 citations). Jun Yao has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Harmen Oppewal, Di Wang, Brett Martin, Shijiao Chen, Huan Liu, Ru‐Shi Liu, Guoxiu Wang, Svetlana Bogomolova, Eli Cohen and Polymeros Chrysochou. Their work appears in journals such as International Journal of Hospitality Management, Journal of Hospitality and Tourism Management, Applied Sciences, Journal of the Academy of Marketing Science and Journal of Retailing.

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.

Explore authors with similar magnitude of impact