Sugai Liang

1.0k total citations
39 papers, 566 citations indexed

About

Sugai Liang is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Sugai Liang has authored 39 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 14 papers in Psychiatry and Mental health and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Sugai Liang's work include Functional Brain Connectivity Studies (20 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Schizophrenia research and treatment (9 papers). Sugai Liang is often cited by papers focused on Functional Brain Connectivity Studies (20 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Schizophrenia research and treatment (9 papers). Sugai Liang collaborates with scholars based in China, Canada and Hong Kong. Sugai Liang's co-authors include Tao Li, Wei Deng, Xiaohong Ma, Mingli Li, Qiang Wang, Andrew J. Greenshaw, Yajing Meng, Wanjun Guo, Hua Yu and Xiaojing Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Scientific Reports.

In The Last Decade

Sugai Liang

33 papers receiving 562 citations

Peers

Sugai Liang
Comparison fields: 5 of 80
  • Cognitive Neuroscience 249
  • Psychiatry and Mental health 161
  • Clinical Psychology 132
  • Radiology, Nuclear Medicine and Imaging 112
  • Experimental and Cognitive Psychology 106
Replace Britta Reinke with:
Britta Reinke Germany
Toshihiko Maekawa Japan
Liqian Cui China
Xuemei Lei China
Judith Buse Germany
Clément Dondé France
Jason He Australia
Kentaro Morita Japan
Xiaojun Huang China
Jessica A. Wojtalik United States
Britta Reinke Germany View profile →
Citations per field, relative to Sugai Liang
Sugai Liang · 1×
Citations per year, relative to Sugai Liang
Sugai Liang · 1×

Countries citing papers authored by Sugai Liang

Since Specialization
Citations

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

Fields of papers citing papers by Sugai Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sugai Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Sugai Liang. A scholar is included among the top collaborators of Sugai Liang 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 Sugai Liang. Sugai Liang 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 5
4 0
5 4
6 4
7 4
8 3
9 8
10 6
11 25
12 3
13 20
14 49
15 27
16 14
17 18
18 1
19 29
20 61

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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