Xuan Choo

1.6k total citations · 1 hit paper
6 papers, 906 citations indexed

About

Xuan Choo is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xuan Choo has authored 6 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 4 papers in Artificial Intelligence and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Xuan Choo's work include Neural dynamics and brain function (4 papers), Neural Networks and Applications (3 papers) and Functional Brain Connectivity Studies (2 papers). Xuan Choo is often cited by papers focused on Neural dynamics and brain function (4 papers), Neural Networks and Applications (3 papers) and Functional Brain Connectivity Studies (2 papers). Xuan Choo collaborates with scholars based in Canada, United Kingdom and Germany. Xuan Choo's co-authors include Terrence C. Stewart, Chris Eliasmith, Trevor Bekolay, Daniel Rasmussen, Travis DeWolf, Yichuan Tang, Aaron R. Voelker, James Bergstra, Eric Hunsberger and Johannes Partzsch and has published in prestigious journals such as Science, Neural Computation and Frontiers in Neuroinformatics.

In The Last Decade

Xuan Choo

6 papers receiving 870 citations

Hit Papers

align trajectories

What are hit papers?

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 Large-Scale Model of the Functioning Brain

2012 551 citations Chris Eliasmith, Terrence C. Stewart et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Xuan Choo Canada	5	572	513	337	197	44	6	906
Travis DeWolf Canada	7	605 1.1×	534 1.0×	345 1.0×	211 1.1×	47 1.1×	8	955
Trevor Bekolay Canada	9	689 1.2×	526 1.0×	365 1.1×	227 1.2×	52 1.2×	18	1.0k
Yoonsuck Choe United States	14	468 0.8×	224 0.4×	306 0.9×	143 0.7×	47 1.1×	108	924
David A. Moses United States	12	835 1.5×	227 0.4×	196 0.6×	316 1.6×	36 0.8×	14	1.1k
Johannes Bill United States	12	445 0.8×	499 1.0×	182 0.5×	263 1.3×	28 0.6×	21	793
Andreas Knoblauch Germany	18	565 1.0×	225 0.4×	193 0.6×	216 1.1×	108 2.5×	47	762
Ľubica Beňušková New Zealand	14	417 0.7×	330 0.6×	250 0.7×	198 1.0×	8 0.2×	47	743
Andrew P. Davison France	18	831 1.5×	504 1.0×	217 0.6×	481 2.4×	10 0.2×	47	1.5k
Gianluigi Mongillo France	13	1.3k 2.3×	436 0.8×	203 0.6×	656 3.3×	20 0.5×	20	1.5k
James C. R. Whittington United Kingdom	7	961 1.7×	169 0.3×	315 0.9×	279 1.4×	67 1.5×	8	1.3k

Countries citing papers authored by Xuan Choo

Since Specialization

Citations

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

Fields of papers citing papers by Xuan Choo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Choo

This figure shows the co-authorship network connecting the top 25 collaborators of Xuan Choo. A scholar is included among the top collaborators of Xuan Choo 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 Xuan Choo. Xuan Choo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Stewart, Terrence C., Xuan Choo, Bernhard Vogginger, et al.. (2021). Comparing Loihi with a SpiNNaker 2 prototype on low-latency keyword spotting and adaptive robotic control. Neuromorphic Computing and Engineering. 1(1). 14002–14002. 33 indexed citations

2.

Voelker, Aaron R., et al.. (2021). Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers. Neural Computation. 33(8). 2033–2067. 11 indexed citations

3.

Stewart, Terrence C., et al.. (2016). The Effects of Guanfacine and Phenylephrine on a Spiking Neuron Model of Working Memory. Topics in Cognitive Science. 9(1). 117–134. 2 indexed citations

4.

Bekolay, Trevor, James Bergstra, Eric Hunsberger, et al.. (2014). Nengo: a Python tool for building large-scale functional brain models. Frontiers in Neuroinformatics. 7. 48–48. 292 indexed citations

5.

Eliasmith, Chris, Terrence C. Stewart, Xuan Choo, et al.. (2012). A Large-Scale Model of the Functioning Brain. Science. 338(6111). 1202–1205. 551 indexed citations breakdown →

6.

Stewart, Terrence C., Xuan Choo, & Chris Eliasmith. (2010). Symbolic Reasoning in Spiking Neurons: A Model of the Cortex/Basal Ganglia/Thalamus Loop. eScholarship (California Digital Library). 32(32). 17 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.

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