Xuhong Liao

4.6k citations
47 papers · 3.0k indexed · 1 hit paper · h-index 24

Xuhong Liao

47 papers receiving 3.0k citations

Hit Papers

GRETNA: a graph theoretical network analysis toolbox for ...1.1k20152026201820222505007501000

Peers

Xuhong Liao
Comparison fields: 5 of 116
  • Cognitive Neuroscience 2.5k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Experimental and Cognitive Psychology 477
  • Psychiatry and Mental health 323
  • Statistical and Nonlinear Physics 220
Replace Marcel A. de Reus with:
Marcel A. de Reus Netherlands
Joana Cabral United Kingdom
R. Matthew Hutchison Canada
Francesco de Pasquale Italy
Shella Keilholz United States
Stefania Della Penna Italy
Petra Ritter Germany
Willem de Haan Netherlands
Alecia C. Vogel United States
Maria Boersma Netherlands
Xuhong Liao relative to Marcel A. de Reus Netherlands Marcel A. de Reus's profile →
Citations per field
00.5×
Marcel A. de Reus · 1×
Citations per year

Countries citing papers authored by Xuhong Liao

Since Specialization
Citations

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

Fields of papers citing papers by Xuhong Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xuhong Liao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xuhong Liao Line = papers co-authored together Xuhong Liao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20244
4 202212
5 202214
6 202224
7 202021
8 202082
9 201939
10 201820
11 201787
12 2017302
13 2016134
14 201646
15 201557
16 201530
17 2013155
18 201073
19 201027
20 20096

About Xuhong Liao

Xuhong Liao is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 3.0k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (30 papers), Neural dynamics and brain function (23 papers), Advanced Neuroimaging Techniques and Applications (12 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Advanced MRI Techniques and Applications (7 papers), Nonlinear Photonic Systems (4 papers), Neonatal and fetal brain pathology (3 papers) and Atomic and Subatomic Physics Research (3 papers). The work is most often cited by research in Cognitive Neuroscience (2.5k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Experimental and Cognitive Psychology (477 citations). Xuhong Liao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yong He, Mingrui Xia, Xindi Wang, Jinhui Wang, Alan C. Evans, Athanasios V. Vasilakos, Zhengjia Dai, Guang Hu, Miao Cao and Jin Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

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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