Xingyu Wang

4.1k total citations · 1 hit paper
68 papers, 3.1k citations indexed

About

Xingyu Wang is a scholar working on Cognitive Neuroscience, Signal Processing and Human-Computer Interaction. According to data from OpenAlex, Xingyu Wang has authored 68 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 19 papers in Signal Processing and 13 papers in Human-Computer Interaction. Recurrent topics in Xingyu Wang's work include EEG and Brain-Computer Interfaces (43 papers), Neural dynamics and brain function (23 papers) and Blind Source Separation Techniques (19 papers). Xingyu Wang is often cited by papers focused on EEG and Brain-Computer Interfaces (43 papers), Neural dynamics and brain function (23 papers) and Blind Source Separation Techniques (19 papers). Xingyu Wang collaborates with scholars based in China, Japan and Poland. Xingyu Wang's co-authors include Yu Zhang, Jing Jin, Andrzej Cichocki, Guoxu Zhou, Qibin Zhao, Brendan Z. Allison, Chang S. Nam, Ian Daly, Yong Jiao and Erwei Yin and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and IEEE Transactions on Cybernetics.

In The Last Decade

Xingyu Wang

64 papers receiving 3.1k citations

Hit Papers

Temporally Constrained Sparse Group Spatial Patterns for ... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers

Xingyu Wang
Comparison fields: 5 of 120
  • Cognitive Neuroscience 2.7k
  • Cellular and Molecular Neuroscience 1.2k
  • Signal Processing 927
  • Human-Computer Interaction 661
  • Electrical and Electronic Engineering 655
Matthias Krauledat Germany
Zhenghui Gu China
Steven Lemm Germany
Herbert Ramoser Austria
Hubert Cecotti United States
Gary E. Birch Canada
Guido Dornhege Germany
Damien Coyle United Kingdom
Robin Tibor Schirrmeister Germany
Matthias Krauledat Germany View profile →
Citations per field, relative to Xingyu Wang
Xingyu Wang · 1×
Citations per year, relative to Xingyu Wang
Xingyu Wang · 1×

Countries citing papers authored by Xingyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xingyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingyu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xingyu Wang. A scholar is included among the top collaborators of Xingyu Wang 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 Xingyu Wang. Xingyu Wang 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 0
3 0
4 1
5 1
6 3
7 12
8 2
9 13
10 32
11
Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI breakdown →
280
12 24
13 8
14 17
15 111
16 87
17 113
18 36
19 132
20
Image Fusion Algorithm Based on Independent Component Analysis
2

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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