Xinyuan Song

136 papers and 2.4k indexed citations i.

About

Xinyuan Song is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Xinyuan Song has authored 136 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Statistics and Probability, 39 papers in Artificial Intelligence and 27 papers in Molecular Biology. Recurrent topics in Xinyuan Song’s work include Statistical Methods and Bayesian Inference (51 papers), Statistical Methods and Inference (49 papers) and Bayesian Methods and Mixture Models (26 papers). Xinyuan Song is often cited by papers focused on Statistical Methods and Bayesian Inference (51 papers), Statistical Methods and Inference (49 papers) and Bayesian Methods and Mixture Models (26 papers). Xinyuan Song collaborates with scholars based in China, Hong Kong and United States. Xinyuan Song's co-authors include Sik‐Yum Lee, Wenyang Zhang, Liuquan Sun, Ronald W. Thring, Jianbing Li, Xiangnan Feng, Xuan Hu, Zhang Ju, Zhaohua Lu and Jingheng Cai and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

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

Fields of papers citing papers by Xinyuan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xinyuan Song. 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 Xinyuan Song. The network helps show where Xinyuan Song may publish in the future.

Countries citing papers authored by Xinyuan Song

Since Specialization
Citations

This map shows the geographic impact of Xinyuan Song'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 Xinyuan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyuan Song 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