Kevin Chan

93 papers and 3.1k indexed citations i.

About

Kevin Chan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Kevin Chan has authored 93 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Networks and Communications, 23 papers in Artificial Intelligence and 19 papers in Statistical and Nonlinear Physics. Recurrent topics in Kevin Chan’s work include Complex Network Analysis Techniques (19 papers), IoT and Edge/Fog Computing (16 papers) and Opinion Dynamics and Social Influence (14 papers). Kevin Chan is often cited by papers focused on Complex Network Analysis Techniques (19 papers), IoT and Edge/Fog Computing (16 papers) and Opinion Dynamics and Social Influence (14 papers). Kevin Chan collaborates with scholars based in United States, United Kingdom and China. Kevin Chan's co-authors include Shiqiang Wang, Ting He, Kin K. Leung, Theodoros Salonidis, Christian Makaya, Tiffany Tuor, Jin-Hee Cho, Rahul Urgaonkar, Murtaza Zafer and Sibel Adalı and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Kevin Chan i

Fields of papers citing papers by Kevin Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kevin Chan

Since Specialization
Citations

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