Xiaoyan Cao

1.6k citations
18 papers · 1.2k indexed · 1 hit paper · h-index 11
Topics
Functional Brain Connectivity Studies (6 papers)Neural dynamics and brain function (3 papers)Advanced MRI Techniques and Applications (3 papers)

In The Last Decade

Xiaoyan Cao

17 papers receiving 1.2k citations

Hit Papers

Toward reliable characterization of functional homogeneit...20122026201620212012100200300400

Peers

Xiaoyan Cao
Comparison fields: 5 of 125
  • Cognitive Neuroscience 938
  • Radiology, Nuclear Medicine and Imaging 468
  • Experimental and Cognitive Psychology 192
  • Psychiatry and Mental health 165
  • Clinical Psychology 80
Replace Karl V. Embleton with:
Karl V. Embleton United Kingdom
Guowei Wu China
Marcelo Fernandes Costa Brazil
David O’Connor United States
Hengyi Cao United States
Dennis van der Meer Norway
Maki Koyama United States
Nan Yan China
Yuqi Cheng China
Abigail S. Greene United States
Xiaoyan Cao relative to Karl V. Embleton United Kingdom Karl V. Embleton's profile →
Citations per field
00.5×5.3×
Karl V. Embleton · 1×
Citations per year

Countries citing papers authored by Xiaoyan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Cao

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 6
2 4
3 32
4 2
5 27
6 23
7 2
8 0
9 1
10 33
11 112
12 331
13 155
14
Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational spacebreakdown →
427
15 2
16 15
17 15
18 62

About Xiaoyan Cao

Xiaoyan Cao is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Industrial and Manufacturing Engineering, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Cognitive Neuroscience (938 citations), Radiology, Nuclear Medicine and Imaging (468 citations) and Experimental and Cognitive Psychology (192 citations). Xiaoyan Cao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yong He, Xi‐Nian Zuo, Lili Jiang, Ting Xu, F. Xavier Castellanos, Michael P. Milham, Yu‐Feng Zang, Zhi Yang, Mingrui Xia and Zhengjia Dai. Their work appears in journals such as PLoS ONE, NeuroImage and The Science of The Total Environment.

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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