Mianxin Liu

681 citations
32 papers · 346 indexed · h-index 11
Topics
Functional Brain Connectivity Studies (19 papers)Neural dynamics and brain function (13 papers)EEG and Brain-Computer Interfaces (10 papers)

In The Last Decade

Mianxin Liu

26 papers receiving 340 citations

Peers

Mianxin Liu
Comparison fields: 5 of 67
  • Cognitive Neuroscience 229
  • Statistical and Nonlinear Physics 59
  • Radiology, Nuclear Medicine and Imaging 59
  • Cellular and Molecular Neuroscience 37
  • Experimental and Cognitive Psychology 33
Replace James C. Pang with:
James C. Pang Australia
Robert L. Peach United Kingdom
Jonathan J. Crofts United Kingdom
Lucas G. S. Jeub United States
Eric Bridgeford United States
Arian Ashourvan United States
Loïc Magrou United States
Javier Baladron Germany
Damien Depannemaecker France
Patrick A. Stokes United States
Mianxin Liu relative to James C. Pang Australia James C. Pang's profile →
Citations per field
00.5×
James C. Pang · 1×
Citations per year

Countries citing papers authored by Mianxin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mianxin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mianxin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Mianxin Liu. A scholar is included among the top collaborators of Mianxin Liu 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 Mianxin Liu. Mianxin Liu 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 0
3 3
4 0
5 0
6 5
7 1
8 15
9 5
10 34
11 2
12 6
13 1
14 11
15 13
16 4
17 29
18 12
19 89
20 37

About Mianxin Liu

Mianxin Liu is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 346 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (19 papers), Neural dynamics and brain function (13 papers) and EEG and Brain-Computer Interfaces (10 papers). The work is most often cited by research in Cognitive Neuroscience (229 citations), Statistical and Nonlinear Physics (59 citations) and Health Informatics (6 citations). Mianxin Liu has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Changsong Zhou, Pan Lin, Ying Wu, Rong Wang, Tao Zhou, Dinggang Shen, Han Zhang, Thomas Knöpfel, Chenchen Song and Feng Shi. Their work appears in journals such as Physical Review Letters, Nature Communications and Journal of Neuroscience.

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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