J. S. Huang

32 papers and 335 indexed citations i.

About

J. S. Huang is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, J. S. Huang has authored 32 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 11 papers in Management Science and Operations Research and 9 papers in Artificial Intelligence. Recurrent topics in J. S. Huang’s work include Statistical Distribution Estimation and Applications (18 papers), Bayesian Methods and Mixture Models (8 papers) and Probability and Risk Models (8 papers). J. S. Huang is often cited by papers focused on Statistical Distribution Estimation and Applications (18 papers), Bayesian Methods and Mixture Models (8 papers) and Probability and Risk Models (8 papers). J. S. Huang collaborates with scholars based in Canada, Taiwan and United States. J. S. Huang's co-authors include Samuel Kotz, Gwo Dong Lin, Malay Ghosh, Satoshi Kuriki, Pranab Kumar Sen, Jun Shao, Ryoichi Shimizu, Wen‐Jang Huang, Kaizhu Huang and Zhipeng Ye and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of J. S. Huang i

Fields of papers citing papers by J. S. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by J. S. Huang

Since Specialization
Citations

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