Xiaoli Guo

1.5k total citations
106 papers, 1.0k citations indexed

About

Xiaoli Guo is a scholar working on Cognitive Neuroscience, Neurology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Xiaoli Guo has authored 106 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 20 papers in Neurology and 14 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Xiaoli Guo's work include EEG and Brain-Computer Interfaces (23 papers), Functional Brain Connectivity Studies (15 papers) and Transcranial Magnetic Stimulation Studies (15 papers). Xiaoli Guo is often cited by papers focused on EEG and Brain-Computer Interfaces (23 papers), Functional Brain Connectivity Studies (15 papers) and Transcranial Magnetic Stimulation Studies (15 papers). Xiaoli Guo collaborates with scholars based in China, United States and Germany. Xiaoli Guo's co-authors include Shanbao Tong, Xu Wang, Junfeng Sun, Hewei Wang, Jie Jia, Herta Flor, Li Ding, Robin Bekrater‐Bodmann, Jie Yang and Bing Zhu and has published in prestigious journals such as PLoS ONE, NeuroImage and Journal of Cleaner Production.

In The Last Decade

Xiaoli Guo

94 papers receiving 1.0k citations

Peers

Xiaoli Guo
Comparison fields: 5 of 134
  • Cognitive Neuroscience 423
  • Neurology 143
  • Rehabilitation 131
  • Social Psychology 98
  • Pharmacology 85
Replace Brian T. Peters with:
Brian T. Peters United States
Kelly P. Westlake United States
Mohamed Dogui Tunisia
Marie Picot France
Yingying Yue China
Pascal Van Beers France
Andrew P. Lavender Australia
Qu Tian United States
E. Carstens United States
Michael W.R. Holmes Canada
Brian T. Peters United States View profile →
Citations per field, relative to Xiaoli Guo
Xiaoli Guo · 1×
Citations per year, relative to Xiaoli Guo
Xiaoli Guo · 1×

Countries citing papers authored by Xiaoli Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Guo. A scholar is included among the top collaborators of Xiaoli Guo 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 Xiaoli Guo. Xiaoli Guo 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
# Work Indexed citations
1 0
2 1
3 0
4 0
5 9
6 0
7 2
8 1
9 8
10 1
11 46
12 1
13 4
14 11
15 25
16 16
17 17
18 3
19 11
20 32

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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