Song Yao

21 papers and 260 indexed citations i.

About

Song Yao is a scholar working on Finance, Management Science and Operations Research and Demography. According to data from OpenAlex, Song Yao has authored 21 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Finance, 10 papers in Management Science and Operations Research and 5 papers in Demography. Recurrent topics in Song Yao’s work include Stochastic processes and financial applications (19 papers), Risk and Portfolio Optimization (9 papers) and Economic theories and models (5 papers). Song Yao is often cited by papers focused on Stochastic processes and financial applications (19 papers), Risk and Portfolio Optimization (9 papers) and Economic theories and models (5 papers). Song Yao collaborates with scholars based in United States, France and China. Song Yao's co-authors include Erhan Bayraktar, Ioannis Karatzas, Jin Ma, Ying Hu, Shigē Péng, Jin Ma and Sidney K. Wolfson and has published in prestigious journals such as SIAM Journal on Control and Optimization, Stochastic Processes and their Applications and The Annals of Applied Probability.

In The Last Decade

Co-authorship network of co-authors of Song Yao i

Fields of papers citing papers by Song Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Song Yao

Since Specialization
Citations

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).

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.

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2025