Kung‐Sik Chan

31 papers and 2.4k indexed citations i.

About

Kung‐Sik Chan is a scholar working on Statistics and Probability, Genetics and Artificial Intelligence. According to data from OpenAlex, Kung‐Sik Chan has authored 31 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 6 papers in Genetics and 5 papers in Artificial Intelligence. Recurrent topics in Kung‐Sik Chan’s work include Statistical Methods and Inference (5 papers), Animal Ecology and Behavior Studies (4 papers) and Financial Risk and Volatility Modeling (4 papers). Kung‐Sik Chan is often cited by papers focused on Statistical Methods and Inference (5 papers), Animal Ecology and Behavior Studies (4 papers) and Financial Risk and Volatility Modeling (4 papers). Kung‐Sik Chan collaborates with scholars based in United States, Norway and United Kingdom. Kung‐Sik Chan's co-authors include Nils Chr. Stenseth, James W. Hurrell, Geir Ottersen, Maurício Lima, Atle Mysterud, Howell Tong, Mark O’Donoghue, Rudy Boonstra, Stan Boutin and Charles J. Krebs and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Kung‐Sik Chan i

Fields of papers citing papers by Kung‐Sik Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kung‐Sik Chan

Since Specialization
Citations

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