Xuan Cao

1.3k citations
48 papers · 625 indexed · 1 hit paper · h-index 14
Topics
Statistical Methods and Inference (12 papers)Functional Brain Connectivity Studies (10 papers)Bayesian Methods and Mixture Models (8 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE

In The Last Decade

Xuan Cao

43 papers receiving 611 citations

Hit Papers

ggpicrust2: an R package for PICRUSt2 predicted functiona...202320262024202520234080120

Peers

Xuan Cao
Comparison fields: 5 of 141
  • Cognitive Neuroscience 121
  • Radiology, Nuclear Medicine and Imaging 109
  • Molecular Biology 84
  • Statistics and Probability 66
  • Artificial Intelligence 64
Replace Sarah Friedrich with:
Sarah Friedrich Germany
Bilwaj Gaonkar United States
Ciprian Crainiceanu United States
Nathaniel E. Helwig United States
Piero Quatto Italy
Leonie Weinhold Germany
James Wilson United States
Bruno Scarpa Italy
Derek Beaton Canada
Anthony J. Yun United States
Xuan Cao relative to Sarah Friedrich Germany Sarah Friedrich's profile →
Citations per field
00.5×4.7×
Sarah Friedrich · 1×
Citations per year

Countries citing papers authored by Xuan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Xuan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Cao

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 2
5 0
6 2
7 22
8 4
9 0
10 1
11 1
12 1
13 15
14 4
15 4
16 11
17 14
18 6
19 16
20 43

About Xuan Cao

Xuan Cao is a scholar working on Statistics and Probability, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 48 papers that have together received 625 indexed citations. Recurring topics across this work include Statistical Methods and Inference (12 papers), Functional Brain Connectivity Studies (10 papers) and Bayesian Methods and Mixture Models (8 papers). The work is most often cited by research in Statistics and Probability (66 citations), Cognitive Neuroscience (121 citations) and Radiology, Nuclear Medicine and Imaging (109 citations). Xuan Cao has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Fabio Cominelli, Aaron Burberry, Liangliang Zhang, Kshitij Khare, Malay Ghosh, Chen Xue, Weiguo Liu, Jingyi Zheng, Lu Lu and Lan Shuai. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

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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