Brian Cheung

25 papers and 1.5k indexed citations i.

About

Brian Cheung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Brian Cheung has authored 25 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Brian Cheung’s work include Target Tracking and Data Fusion in Sensor Networks (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). Brian Cheung is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). Brian Cheung collaborates with scholars based in United States, Australia and China. Brian Cheung's co-authors include F. Xavier Castellanos, R. Cameron Craddock, Michael P. Milham, Xi‐Nian Zuo, Qingyang Li, Adriana Di Martino, Chao‐Gan Yan, Stan Colcombe, Clare Kelly and Samuel J. Davey and has published in prestigious journals such as Nature Communications, NeuroImage and Sensors.

In The Last Decade

Co-authorship network of co-authors of Brian Cheung i

Fields of papers citing papers by Brian Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Brian Cheung

Since Specialization
Citations

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