Xi‐jian Dai

1.7k total citations
42 papers, 1.3k citations indexed

About

Xi‐jian Dai is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Xi‐jian Dai has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 10 papers in Experimental and Cognitive Psychology and 10 papers in Psychiatry and Mental health. Recurrent topics in Xi‐jian Dai's work include Functional Brain Connectivity Studies (16 papers), EEG and Brain-Computer Interfaces (9 papers) and Sleep and related disorders (7 papers). Xi‐jian Dai is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), EEG and Brain-Computer Interfaces (9 papers) and Sleep and related disorders (7 papers). Xi‐jian Dai collaborates with scholars based in China, Hong Kong and Macao. Xi‐jian Dai's co-authors include Honghan Gong, Xiao Nie, Yì Wáng, Haijun Li, Bixia Liu, Dechang Peng, Fuqing Zhou, Lei Gao, Xuming Liu and Jian Jiang and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Xi‐jian Dai

42 papers receiving 1.3k citations

Peers

Xi‐jian Dai
Comparison fields: 5 of 98
  • Cognitive Neuroscience 881
  • Experimental and Cognitive Psychology 430
  • Radiology, Nuclear Medicine and Imaging 300
  • Endocrine and Autonomic Systems 159
  • Physiology 147
Replace Camellia P. Clark with:
Camellia P. Clark United States
Shubir Dutt United States
Xinyu Hu China
Stephanie A. Sassoon United States
Tilman Schulte United States
Stephen Perrig Switzerland
Matteo Martino Italy
Lei Gao China
Mark A. Granner United States
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Camellia P. Clark United States View profile →
Citations per field, relative to Xi‐jian Dai
Xi‐jian Dai · 1×
Citations per year, relative to Xi‐jian Dai
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Countries citing papers authored by Xi‐jian Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xi‐jian Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xi‐jian Dai. 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 Xi‐jian Dai. The network helps show where Xi‐jian Dai may publish in the future.

Co-authorship network of co-authors of Xi‐jian Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xi‐jian Dai. A scholar is included among the top collaborators of Xi‐jian Dai 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 Xi‐jian Dai. Xi‐jian Dai 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 1
2 1
3 3
4 10
5 19
6 14
7 7
8 19
9 7
10 3
11 9
12 53
13 39
14 6
15 71
16 73
17 71
18 8
19 98
20 122

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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