Sik‐Yum Lee

About

Sik‐Yum Lee is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Sik‐Yum Lee has authored 13 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Sik‐Yum Lee’s work include Statistical Methods and Bayesian Inference (10 papers), Bayesian Modeling and Causal Inference (5 papers) and Advanced Statistical Methods and Models (4 papers). Sik‐Yum Lee is often cited by papers focused on Statistical Methods and Bayesian Inference (10 papers), Bayesian Modeling and Causal Inference (5 papers) and Advanced Statistical Methods and Models (4 papers). Sik‐Yum Lee collaborates with scholars based in Hong Kong, United States and China. Sik‐Yum Lee's co-authors include Hong-Tu Zhu, Xinyuan Song, Xinyuan Song, Fei Chen, Fei Chen, Wai‐Yin Poon, Abdelmonem A. Afifi and Peter M. Bentler and has published in prestigious journals such as Biometrics, Statistics in Medicine and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Co-authorship network of co-authors of Sik‐Yum Lee i

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Fields of papers citing papers by Sik‐Yum Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sik‐Yum Lee. 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 Sik‐Yum Lee. The network helps show where Sik‐Yum Lee may publish in the future.

Countries citing papers authored by Sik‐Yum Lee

Since Specialization

Citations

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