Xiao‐Li Meng

104 papers and 11.2k indexed citations i.

About

Xiao‐Li Meng is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Xiao‐Li Meng has authored 104 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Statistics and Probability, 37 papers in Artificial Intelligence and 13 papers in Management Science and Operations Research. Recurrent topics in Xiao‐Li Meng’s work include Statistical Methods and Bayesian Inference (39 papers), Statistical Methods and Inference (33 papers) and Bayesian Methods and Mixture Models (24 papers). Xiao‐Li Meng is often cited by papers focused on Statistical Methods and Bayesian Inference (39 papers), Statistical Methods and Inference (33 papers) and Bayesian Methods and Mixture Models (24 papers). Xiao‐Li Meng collaborates with scholars based in United States, United Kingdom and China. Xiao‐Li Meng's co-authors include Donald B. Rubin, Andrew Gelman, David A. van Dyk, Steve Brooks, Galin L. Jones, Margarita Alegrı́a, David T. Takeuchi, Zhun Cao, Chih-Nan Chen and Pinka Chatterji and has published in prestigious journals such as Nature, Journal of Geophysical Research Atmospheres and The Astrophysical Journal.

In The Last Decade

Co-authorship network of co-authors of Xiao‐Li Meng i

Fields of papers citing papers by Xiao‐Li Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐Li Meng. 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 Xiao‐Li Meng. The network helps show where Xiao‐Li Meng may publish in the future.

Countries citing papers authored by Xiao‐Li Meng

Since Specialization
Citations

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