Dai Yao
Impact in
- Marketing top 2%
- Consumer Behavior in Brand Consumption and Identification
- Consumer Market Behavior and Pricing
- Consumer Retail Behavior Studies
-
- Technology Adoption and User Behaviour
Papers in
-
- Digital Marketing and Social Media 8
-
- Consumer Market Behavior and Pricing 5
- Consumer Behavior in Brand Consumption and Identification 3
- Sharing Economy and Platforms 2
- Co-authors
- Xingyu Chen (5 shared papers)Yan Lin (1 shared paper)Shijie Lu (3 shared papers)Rajdeep Grewal (1 shared paper)Inyoung Chae (2 shared papers)Andrew T. Stephen (2 shared papers)Yakov Bart (2 shared papers)Zhimin Zhou (1 shared paper)
- Journals
- Marketing Science (3 papers)Management Science (1 paper)Journal of Marketing Research (1 paper)Production and Operations Management (1 paper)Journal of the Academy of Marketing Science (1 paper)
- Partner nations
- Hong KongSingaporeUnited States
In The Last Decade
Dai Yao
12 papers receiving 548 citations
Dai Yao's Hit Papers
Peers
Comparison fields: 5 of 58
- Marketing 282
- Information Systems and Management 109
- Sociology and Political Science 383
- Organizational Behavior and Human Resource Management 72
- Communication 43
Countries citing papers authored by Dai Yao
This map shows the geographic impact of Dai 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 Dai Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Yao more than expected).
Fields of papers citing papers by Dai Yao
This network shows the impact of papers produced by Dai 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 Dai Yao. The network helps show where Dai Yao may publish in the future.
Co-authors
The 11 scholars most cited alongside Dai 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
| # | Work | ||
|---|---|---|---|
| 1 | Happiness Begets Money: Emotion and Engagement in Live Streaming Hit paper breakdown → | 2021 | 259 |
| 2 | 2021 | 132 | |
| 3 | 2016 | 101 | |
| 4 | 2019 | 26 | |
| 5 | 2015 | 12 | |
| 6 | 2022 | 10 | |
| 7 | 2024 | 10 | |
| 8 | 2010 | 6 | |
| 9 | 2022 | 4 | |
| 10 | 2025 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2019 | 1 |
About Dai Yao
Dai Yao is a scholar working on Sociology and Political Science, Marketing, Automotive Engineering, Management Science and Operations Research and Computer Science Applications, having authored 12 papers that have together received 565 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (8 papers), Consumer Market Behavior and Pricing (5 papers), Transportation and Mobility Innovations (3 papers), Consumer Behavior in Brand Consumption and Identification (3 papers), Open Source Software Innovations (3 papers), Sharing Economy and Platforms (2 papers), FinTech, Crowdfunding, Digital Finance (2 papers) and Innovation Diffusion and Forecasting (2 papers). The work is most often cited by research in Marketing (282 citations), Information Systems and Management (109 citations), Sociology and Political Science (383 citations), Organizational Behavior and Human Resource Management (72 citations) and Communication (43 citations). Dai Yao has collaborated with scholars based in Hong Kong, Singapore and United States. Frequent co-authors include Xingyu Chen, Yan Lin, Shijie Lu, Rajdeep Grewal, Inyoung Chae, Andrew T. Stephen, Yakov Bart, Zhimin Zhou, Xing Li and Junhong Chu. Their work appears in journals such as Marketing Science, Management Science, Journal of Marketing Research, Production and Operations 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.