Yangxin Huang

105 papers and 1.4k indexed citations i.

About

Yangxin Huang is a scholar working on Statistics and Probability, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Yangxin Huang has authored 105 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Statistics and Probability, 37 papers in Artificial Intelligence and 18 papers in Infectious Diseases. Recurrent topics in Yangxin Huang’s work include Statistical Methods and Bayesian Inference (48 papers), Bayesian Methods and Mixture Models (37 papers) and Statistical Methods and Inference (28 papers). Yangxin Huang is often cited by papers focused on Statistical Methods and Bayesian Inference (48 papers), Bayesian Methods and Mixture Models (37 papers) and Statistical Methods and Inference (28 papers). Yangxin Huang collaborates with scholars based in United States, China and Canada. Yangxin Huang's co-authors include Hulin Wu, Getachew Dagne, Dacheng Liu, Susan L. Rosenkranz, Lang Wu, Edward P. Acosta, Grace Y. Yi, Wei Liu, Henian Chen and Alan S. Perelson and has published in prestigious journals such as PLoS ONE, Neurology and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Yangxin Huang i

Fields of papers citing papers by Yangxin Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yangxin Huang

Since Specialization
Citations

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