Shu‐Kay Ng

166 papers and 6.7k indexed citations i.

About

Shu‐Kay Ng is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Shu‐Kay Ng has authored 166 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 28 papers in Artificial Intelligence and 24 papers in Statistics and Probability. Recurrent topics in Shu‐Kay Ng’s work include Bayesian Methods and Mixture Models (25 papers), Statistical Methods and Bayesian Inference (12 papers) and Statistical Distribution Estimation and Applications (11 papers). Shu‐Kay Ng is often cited by papers focused on Bayesian Methods and Mixture Models (25 papers), Statistical Methods and Bayesian Inference (12 papers) and Statistical Distribution Estimation and Applications (11 papers). Shu‐Kay Ng collaborates with scholars based in Australia, United States and Hong Kong. Shu‐Kay Ng's co-authors include Geoffrey J. McLachlan, Xindong Wu, Vipin Kumar, Zhi‐Hua Zhou, Dan Steinberg, Qiang Yang, Bing Liu, Joydeep Ghosh, Philip S. Yu and Hiroshi Motoda and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Shu‐Kay Ng i

Fields of papers citing papers by Shu‐Kay Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Kay Ng. 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 Shu‐Kay Ng. The network helps show where Shu‐Kay Ng may publish in the future.

Countries citing papers authored by Shu‐Kay Ng

Since Specialization
Citations

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