Yajuan Si

24 papers and 273 indexed citations i.

About

Yajuan Si is a scholar working on Statistics and Probability, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Yajuan Si has authored 24 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 9 papers in Sociology and Political Science and 6 papers in Artificial Intelligence. Recurrent topics in Yajuan Si’s work include Advanced Causal Inference Techniques (7 papers), Statistical Methods and Inference (6 papers) and Statistical Methods and Bayesian Inference (6 papers). Yajuan Si is often cited by papers focused on Advanced Causal Inference Techniques (7 papers), Statistical Methods and Inference (6 papers) and Statistical Methods and Bayesian Inference (6 papers). Yajuan Si collaborates with scholars based in United States. Yajuan Si's co-authors include Jerome P. Reiter, D. Sunshine Hillygus, Andrew Gelman, Natesh S. Pillai, Yiting Deng, Eva H. DuGoff, Juhee Cho, Craig Evan Pollack, Edward L. Deci and Marsha R. Mailick and has published in prestigious journals such as Journal of Clinical Oncology, Statistics in Medicine and Annals of Surgical Oncology.

In The Last Decade

Co-authorship network of co-authors of Yajuan Si i

Fields of papers citing papers by Yajuan Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yajuan Si

Since Specialization
Citations

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