Xia Wu

6.8k citations
272 papers · 5.1k · h-index 40

Impact in

    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies

Papers in

Xia Wu

251 papers receiving 5.0k citations

Peers

Xia Wu
Comparison fields: 5 of 183
  • Cognitive Neuroscience 2.4k
  • Sensory Systems 227
  • Experimental and Cognitive Psychology 534
  • Psychiatry and Mental health 534
  • Neurology 283
Replace Patrick Johnston with:
Patrick Johnston Australia
Gaurav Srivastava India
Yong Hu China
Richard D. Jones New Zealand
Christopher M. Clark United States
Christopher D. White United States
Esther Werth Switzerland
William J. Schwartz United States
Wei Liao China
Xin Zhang China
Xia Wu relative to Patrick Johnston Australia Patrick Johnston's profile →
Citations per field
00.5×4.2×
Patrick Johnston · 1×
Citations per year

Countries citing papers authored by Xia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xia Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xia Wu Line = papers co-authored together Xia Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 272 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009283
2 2011176
3 2019144
4 2021129
5 2014117
6 2011112
7 2020107
8 2021101
9 201292
10 202090
11 201289
12 201380
13 201571
14 201167
15 201267
16 201966
17 201765
18 201564
19 201863
20 201662

About Xia Wu

Xia Wu is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Experimental and Cognitive Psychology, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 272 papers that have together received 5.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (91 papers), EEG and Brain-Computer Interfaces (62 papers), Neural dynamics and brain function (46 papers), Geology and Paleoclimatology Research (19 papers), Blind Source Separation Techniques (19 papers), Advanced Neuroimaging Techniques and Applications (19 papers), Neural and Behavioral Psychology Studies (19 papers) and Groundwater and Isotope Geochemistry (15 papers). The work is most often cited by research in Cognitive Neuroscience (2.4k citations), Sensory Systems (227 citations), Experimental and Cognitive Psychology (534 citations), Psychiatry and Mental health (534 citations) and Neurology (283 citations). Xia Wu has collaborated with scholars based in China, United States and France. Frequent co-authors include Li Yao, Kewei Chen, Yao Li, Rui Li, Eric M. Reiman, Adam Fleisher, Lele Xu, Jiacai Zhang, Qing Li and Xueyuan Xu. Their work appears in journals such as Environmental Earth Sciences, Human Brain Mapping, IEEE Transactions on Affective Computing, IEEE Journal of Biomedical and Health Informatics and NeuroImage.

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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