Philip K. Chan

116 papers and 5.3k indexed citations i.

About

Philip K. Chan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Philip K. Chan has authored 116 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 17 papers in Information Systems. Recurrent topics in Philip K. Chan’s work include Network Security and Intrusion Detection (16 papers), Anomaly Detection Techniques and Applications (15 papers) and Posttraumatic Stress Disorder Research (14 papers). Philip K. Chan is often cited by papers focused on Network Security and Intrusion Detection (16 papers), Anomaly Detection Techniques and Applications (15 papers) and Posttraumatic Stress Disorder Research (14 papers). Philip K. Chan collaborates with scholars based in United States, Canada and United Kingdom. Philip K. Chan's co-authors include Salvatore J. Stolfo, Wei Fan, Andreas L. Prodromidis, M.H. Er, Ronda Venkateswarlu, Wenke Lee, Joseph R. Calabrese, I. Lucio-Martinez, Wolfgang Tittel and Junxin Zhang and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Oncology and American Journal of Psychiatry.

In The Last Decade

Co-authorship network of co-authors of Philip K. Chan i

Fields of papers citing papers by Philip K. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philip K. Chan

Since Specialization
Citations

This map shows the geographic impact of Philip 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 Philip 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 Philip 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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