Hock Peng Chan

30 papers and 312 indexed citations i.

About

Hock Peng Chan is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Hock Peng Chan has authored 30 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Management Science and Operations Research and 11 papers in Statistics and Probability. Recurrent topics in Hock Peng Chan’s work include Bayesian Methods and Mixture Models (8 papers), Advanced Statistical Process Monitoring (7 papers) and Statistical Methods and Inference (7 papers). Hock Peng Chan is often cited by papers focused on Bayesian Methods and Mixture Models (8 papers), Advanced Statistical Process Monitoring (7 papers) and Statistical Methods and Inference (7 papers). Hock Peng Chan collaborates with scholars based in Singapore, United States and China. Hock Peng Chan's co-authors include Tze Leung Lai, Guenther Walther, Timothy B. Armstrong, Andrew D. Barbour, David Siegmund, Tze-Leung Lai, Wei‐Liem Loh, Ajay Jasra, Inchi Hu and I‐Ping Tu and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Information Theory and Journal of Econometrics.

In The Last Decade

Co-authorship network of co-authors of Hock Peng Chan i

Fields of papers citing papers by Hock Peng Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hock Peng Chan. 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 Hock Peng Chan. The network helps show where Hock Peng Chan may publish in the future.

Countries citing papers authored by Hock Peng Chan

Since Specialization
Citations

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