Chun Lam Chan

11 papers and 226 indexed citations i.

About

Chun Lam Chan is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Chun Lam Chan has authored 11 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 3 papers in Molecular Biology. Recurrent topics in Chun Lam Chan’s work include Markov Chains and Monte Carlo Methods (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and SARS-CoV-2 detection and testing (3 papers). Chun Lam Chan is often cited by papers focused on Markov Chains and Monte Carlo Methods (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and SARS-CoV-2 detection and testing (3 papers). Chun Lam Chan collaborates with scholars based in Switzerland, Hong Kong and United States. Chun Lam Chan's co-authors include Sidharth Jaggi, Venkatesh Saligrama, Pak Hou, Samar Agnihotri, Nicolas Macris, Jean Barbier, M.‐A. Dupertuis, Sheng Cai, Mayank Bakshi and Jarla Thiesbrummel and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Statistical Physics and Entropy.

In The Last Decade

Co-authorship network of co-authors of Chun Lam Chan i

Fields of papers citing papers by Chun Lam Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chun Lam Chan

Since Specialization
Citations

This map shows the geographic impact of Chun Lam 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 Chun Lam Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Lam 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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2025