Samuel W. K. Chan

21 papers and 606 indexed citations i.

About

Samuel W. K. Chan is a scholar working on Artificial Intelligence, Sociology and Political Science and Health. According to data from OpenAlex, Samuel W. K. Chan has authored 21 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Sociology and Political Science and 4 papers in Health. Recurrent topics in Samuel W. K. Chan’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Advanced Text Analysis Techniques (6 papers). Samuel W. K. Chan is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Advanced Text Analysis Techniques (6 papers). Samuel W. K. Chan collaborates with scholars based in Hong Kong, United Kingdom and United States. Samuel W. K. Chan's co-authors include James Franklin, Joseph T. F. Lau, Phoenix K. H. Mo, Melissa M. Franks, Karen L. Fingerman, Kira S. Birditt, Steven H. Zarit, Lindsay Pitzer, David M. Almeida and Robert S. Stawski and has published in prestigious journals such as Expert Systems with Applications, The Journals of Gerontology Series B and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Samuel W. K. Chan i

Fields of papers citing papers by Samuel W. K. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel W. K. 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 Samuel W. K. Chan. The network helps show where Samuel W. K. Chan may publish in the future.

Countries citing papers authored by Samuel W. K. Chan

Since Specialization
Citations

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