Dai Yao

795 total citations · 1 hit paper
12 papers, 520 citations indexed

About

Dai Yao is a scholar working on Sociology and Political Science, Marketing and Automotive Engineering. According to data from OpenAlex, Dai Yao has authored 12 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Sociology and Political Science, 8 papers in Marketing and 3 papers in Automotive Engineering. Recurrent topics in Dai Yao's work include Digital Marketing and Social Media (8 papers), Consumer Market Behavior and Pricing (5 papers) and Open Source Software Innovations (3 papers). Dai Yao is often cited by papers focused on Digital Marketing and Social Media (8 papers), Consumer Market Behavior and Pricing (5 papers) and Open Source Software Innovations (3 papers). Dai Yao collaborates with scholars based in Hong Kong, United States and Singapore. Dai Yao's co-authors include Xingyu Chen, Yan Lin, Shijie Lu, Rajdeep Grewal, Andrew T. Stephen, Yakov Bart, Zhimin Zhou, Xing Li, Junhong Chu and Miguel Sousa Lobo and has published in prestigious journals such as Management Science, Journal of Marketing Research and Journal of the Academy of Marketing Science.

In The Last Decade

Dai Yao

12 papers receiving 495 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Happiness Begets Money: Emotion and Engagement in Live Streaming

2021 231 citations Yan Lin, Dai Yao et al. Journal of Marketing Research profile →

Peers

Dai Yao

SPS

MARKE

ISM

OBHRM

SM

Gian M. Fulgoni Australia

Xixian Peng China

Jurui Zhang United States

Xiaoning Liang Ireland

Ekin Pehlivan United States

Vijaykumar Krishnan United States

Abhishek Borah France

Toulany Thavisay South Korea

Zhengzhi Guan China

Gian M. Fulgoni Australia

Dai Yao

285 ×0.8

SPS

225 ×0.8

MARKE

104 ×1.0

ISM

55 ×0.8

OBHRM

44 ×0.7

SM

Citations per year, relative to Dai Yao Dai Yao (= 1×) peers Gian M. Fulgoni

Countries citing papers authored by Dai Yao

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Dai Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Dai Yao. A scholar is included among the top collaborators of Dai Yao 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 Dai Yao. Dai Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Yao, Dai, et al.. (2025). The impact of advertising on women’s self-perception: a systematic review. Frontiers in Psychology. 15. 1430079–1430079. 2 indexed citations

2.

Yao, Dai, Shijie Lu, & Xingyu Chen. (2024). Crowding-Out in Content Monetization Under Pay What You Want: Evidence From Live Streaming. Production and Operations Management. 34(12). 3937–3957. 7 indexed citations

3.

Yao, Dai, Shijie Lu, & Xingyu Chen. (2023). Crowding-Out in Content Monetization under Pay What You Want: Evidence from Live Streaming. SSRN Electronic Journal. 2 indexed citations

4.

Yao, Dai, et al.. (2022). A Dynamic Model of Owner Acceptance in Peer-to-Peer Sharing Markets. Marketing Science. 42(1). 166–188. 3 indexed citations

5.

Chu, Junhong, et al.. (2022). Taxi Drivers’ Response to Cancellations and No-Shows: New Evidence for Reference-Dependent Preferences. Management Science. 69(1). 179–199. 9 indexed citations

6.

Lu, Shijie, Dai Yao, Xingyu Chen, & Rajdeep Grewal. (2021). Do Larger Audiences Generate Greater Revenues Under Pay What You Want? Evidence from a Live Streaming Platform. Marketing Science. 40(5). 964–984. 124 indexed citations

7.

Lin, Yan, Dai Yao, & Xingyu Chen. (2021). Happiness Begets Money: Emotion and Engagement in Live Streaming. Journal of Marketing Research. 58(3). 417–438. 231 indexed citations breakdown →

8.

Chu, Junhong, et al.. (2019). Making Lemonade from Lemons: Taxi Drivers' Response to Cancellations and No-shows. SSRN Electronic Journal. 1 indexed citations

9.

Chen, Xingyu, Xing Li, Dai Yao, & Zhimin Zhou. (2019). Seeking the support of the silent majority: are lurking users valuable to UGC platforms?. Journal of the Academy of Marketing Science. 47(6). 986–1004. 25 indexed citations

10.

Stephen, Andrew T., et al.. (2016). Spillover Effects in Seeded Word-of-Mouth Marketing Campaigns. Marketing Science. 36(1). 89–104. 98 indexed citations

11.

Stephen, Andrew T., et al.. (2015). Spillover Effects in Seeded Word-of-Mouth Marketing Campaigns. SSRN Electronic Journal. 12 indexed citations

12.

Lobo, Miguel Sousa & Dai Yao. (2010). Human Judgement is Heavy Tailed: Empirical Evidence and Implications for the Aggregation of Estimates and Forecasts. SSRN Electronic Journal. 6 indexed citations

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