Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics
20131.2k citationsChao‐Gan Yan, Brian Cheung et al.NeuroImageprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
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).
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.
Co-authorship network of co-authors of Brian Cheung
This figure shows the co-authorship network connecting the top 25 collaborators of Brian Cheung.
A scholar is included among the top collaborators of Brian Cheung based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Brian Cheung. Brian Cheung is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cheung, Brian, Alexander V. Terekhov, Yubei Chen, Pulkit Agrawal, & Bruno A. Olshausen. (2019). Superposition of many models into one. arXiv (Cornell University). 32. 10867–10876.16 indexed citations
Cheung, Brian, et al.. (2016). Emergence of foveal image sampling from learning to attend in visual scenes. arXiv (Cornell University).1 indexed citations
Cheung, Brian, Jesse A. Livezey, Arjun K. Bansal, & Bruno A. Olshausen. (2014). Discovering Hidden Factors of Variation in Deep Networks. arXiv (Cornell University).8 indexed citations
15.
Yan, Chao‐Gan, Brian Cheung, Clare Kelly, et al.. (2013). A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. NeuroImage. 76. 183–201.1208 indexed citations breakdown →
16.
Cheung, Brian, et al.. (2009). Hardware-Optimized Ziggurat Algorithm for High-Speed Gaussian Random Number Generators.. 254–260.9 indexed citations
17.
Davey, Samuel J., Brian Cheung, & Mark Rutten. (2009). Track-Before-Detect for sensors with complex measurements. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 618–625.7 indexed citations
18.
Davey, Samuel J., et al.. (2006). Separation of Target Rigid Body and Micro-Doppler Effects in ISAR Imaging.1 indexed citations
19.
Davey, Samuel J., et al.. (2006). Clutter Rejection using Peak Curvature. IEEE Transactions on Aerospace and Electronic Systems. 42(4). 1492–1496.6 indexed citations
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.