Song Yao
- Marketing top 2%
- Economics and Econometrics top 5%
- Sociology and Political Science top 10%
- Strategy and Management top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Yuxin ChenAnna TuchmanCarl F. MelaJeongwen ChiangRaphael ThomadsenMeng LiuStephan SeilerWenbo Wang
- Topics
- Consumer Market Behavior and Pricing (22 papers)Digital Platforms and Economics (11 papers)Auction Theory and Applications (7 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Song Yao
43 papers receiving 706 citations
Peers
Comparison fields: 5 of 95
- Marketing 383
- Economics and Econometrics 208
- Sociology and Political Science 182
- Strategy and Management 173
- Management Science and Operations Research 101
Countries citing papers authored by Song Yao
This map shows the geographic impact of Song 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 Song Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Yao more than expected).
Fields of papers citing papers by Song Yao
This network shows the impact of papers produced by Song 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 Song Yao. The network helps show where Song Yao may publish in the future.
Co-authorship network of co-authors of Song Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Song Yao. A scholar is included among the top collaborators of Song 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 Song Yao. Song Yao 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 99 | |
| 8 | 12 | |
| 9 | 44 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 23 | |
| 13 | How do firms make money selling digital goods online | 1 |
| 14 | Sponsored Search Auctions: Research Opportunities in Marketing | 7 |
| 15 | 3 | |
| 16 | 3 | |
| 17 | The Analysis of JiaXing Sport Industry with SWOT-PEST Model | 1 |
| 18 | 5 | |
| 19 | MATHEMATIC MODELS OF THINNING PATTERN FOR NON-SPHERE SUPERPLASTIC FREE BULGING(I) | 1 |
| 20 | THE FORMULA OF MEASURING m VALUE IN SUPERPLASTIC BULGING BY MEANS OF JUMP PRESSURE | 1 |
About Song Yao
Song Yao is a scholar working on Marketing, Modeling and Simulation and Management Science and Operations Research, having authored 47 papers that have together received 758 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (22 papers), Digital Platforms and Economics (11 papers) and Auction Theory and Applications (7 papers). The work is most often cited by research in Marketing (383 citations), General Decision Sciences (22 citations) and Strategy and Management (173 citations). Song Yao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yuxin Chen, Anna Tuchman, Carl F. Mela, Jeongwen Chiang, Raphael Thomadsen, Meng Liu, Stephan Seiler, Wenbo Wang, Randall A. Lewis and Avi Goldfarb. Their work appears in journals such as PLoS ONE, Management Science and Scientific Reports.
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.