Song Xi Chen

121 papers and 4.1k indexed citations i.

About

Song Xi Chen is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Song Xi Chen has authored 121 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Statistics and Probability, 24 papers in Artificial Intelligence and 17 papers in Finance. Recurrent topics in Song Xi Chen’s work include Statistical Methods and Inference (54 papers), Statistical Methods and Bayesian Inference (28 papers) and Advanced Statistical Methods and Models (17 papers). Song Xi Chen is often cited by papers focused on Statistical Methods and Inference (54 papers), Statistical Methods and Bayesian Inference (28 papers) and Advanced Statistical Methods and Models (17 papers). Song Xi Chen collaborates with scholars based in China, United States and Australia. Song Xi Chen's co-authors include Yingli Qin, Ping-Shou Zhong, Cheng Yong Tang, Peter Hall, Hengjian Cui, Lixin Zhang, Ingrid Van Keilegom, Jun Li, Bin Guo and Hui Huang and has published in prestigious journals such as Journal of the American Statistical Association, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Song Xi Chen i

Fields of papers citing papers by Song Xi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Xi Chen

Since Specialization
Citations

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