Chien‐Pai Han

52 papers and 521 indexed citations i.

About

Chien‐Pai Han is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Chien‐Pai Han has authored 52 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 10 papers in Statistics, Probability and Uncertainty. Recurrent topics in Chien‐Pai Han’s work include Advanced Statistical Methods and Models (21 papers), Bayesian Methods and Mixture Models (10 papers) and Statistical Methods and Inference (10 papers). Chien‐Pai Han is often cited by papers focused on Advanced Statistical Methods and Models (21 papers), Bayesian Methods and Mixture Models (10 papers) and Statistical Methods and Inference (10 papers). Chien‐Pai Han collaborates with scholars based in United States, China and Taiwan. Chien‐Pai Han's co-authors include T. A. Bancroft, C. Venkata Rao, Ritu Gupta, D.L. Hawkins, Jianling Li, Christopher Cox, Iain D. Currie, Bo Li, Choudur Lakshminarayan and Qizhai Li and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Chien‐Pai Han i

Fields of papers citing papers by Chien‐Pai Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Pai Han. 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 Chien‐Pai Han. The network helps show where Chien‐Pai Han may publish in the future.

Countries citing papers authored by Chien‐Pai Han

Since Specialization
Citations

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