Yaming Yu

52 papers and 686 indexed citations i.

About

Yaming Yu is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Yaming Yu has authored 52 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 18 papers in Artificial Intelligence and 14 papers in Management Science and Operations Research. Recurrent topics in Yaming Yu’s work include Bayesian Methods and Mixture Models (12 papers), Statistical Distribution Estimation and Applications (12 papers) and Statistical Methods and Inference (8 papers). Yaming Yu is often cited by papers focused on Bayesian Methods and Mixture Models (12 papers), Statistical Distribution Estimation and Applications (12 papers) and Statistical Methods and Inference (8 papers). Yaming Yu collaborates with scholars based in United States, United Kingdom and Italy. Yaming Yu's co-authors include Xiao‐Li Meng, B. Bavarian, Z.-P. Lo, Oliver Johnson, Guðrún Magnúsdóttir, Hal S. Stern, José A. Adell, Yaping Wang, Yosef Rinott and Marco Scarsini and has published in prestigious journals such as The Astrophysical Journal, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Co-authorship network of co-authors of Yaming Yu i

Fields of papers citing papers by Yaming Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yaming Yu

Since Specialization
Citations

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