Ya Xu

About

Ya Xu is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Ya Xu has authored 5 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics and Probability, 2 papers in Artificial Intelligence and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ya Xu’s work include Statistical Methods in Clinical Trials (3 papers), Meta-analysis and systematic reviews (2 papers) and Optimization and Search Problems (1 paper). Ya Xu is often cited by papers focused on Statistical Methods in Clinical Trials (3 papers), Meta-analysis and systematic reviews (2 papers) and Optimization and Search Problems (1 paper). Ya Xu collaborates with scholars based in United States, China and Switzerland. Ya Xu's co-authors include Ron Kohavi, Alex Deng, Toby Walker, Diane Tang, John P. A. Ioannidis, Lars G. Hemkens, Xinyu Du, Limin Zhu, Zhiwei Zhu and Suet To and has published in prestigious journals such as Trials, International Journal of Extreme Manufacturing and Discrete Dynamics in Nature and Society.

In The Last Decade

Co-authorship network of co-authors of Ya Xu i

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Fields of papers citing papers by Ya Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ya Xu

Since Specialization

Citations

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