Xiaopei Wu

1.4k citations
90 papers · 1.0k · h-index 18

Impact in

Papers in

Xiaopei Wu

87 papers receiving 988 citations

Peers

Xiaopei Wu
Comparison fields: 5 of 116
  • Human-Computer Interaction 203
  • Cognitive Neuroscience 550
  • Signal Processing 196
  • Cellular and Molecular Neuroscience 178
  • Cardiology and Cardiovascular Medicine 148
Replace Mohamed A. Bencherif with:
Mohamed A. Bencherif Saudi Arabia
Kenneth Revett United Kingdom
Haixian Wang China
Rami Alazrai Jordan
Wanzhong Chen China
Mehmet İsmail Gürsoy Türkiye
Howida A. Shedeed Egypt
Temel Kayıkçıoğlu Türkiye
Qingshan She China
Xiaopei Wu relative to Mohamed A. Bencherif Saudi Arabia Mohamed A. Bencherif's profile →
Citations per field
00.5×1.7×
Mohamed A. Bencherif · 1×
Citations per year

Countries citing papers authored by Xiaopei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaopei 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 Xiaopei Wu Line = papers co-authored together Xiaopei Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200959
2 200859
3 200851
4 200449
5 201247
6 201643
7 201742
8 200936
9 201935
10 200329
11 201626
12
Mental task classification for brain computer interface application
200724
13 201824
14 202223
15 202221
16 202121
17 202121
18 201417
19 201317
20 202416

About Xiaopei Wu

Xiaopei Wu is a scholar working on Cognitive Neuroscience, Signal Processing, Cellular and Molecular Neuroscience, Biomedical Engineering and Human-Computer Interaction, having authored 90 papers that have together received 1.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (53 papers), Blind Source Separation Techniques (35 papers), Neuroscience and Neural Engineering (17 papers), Gaze Tracking and Assistive Technology (13 papers), Non-Invasive Vital Sign Monitoring (11 papers), ECG Monitoring and Analysis (8 papers), Advanced Memory and Neural Computing (7 papers) and Neural Networks and Applications (7 papers). The work is most often cited by research in Human-Computer Interaction (203 citations), Cognitive Neuroscience (550 citations), Signal Processing (196 citations), Cellular and Molecular Neuroscience (178 citations) and Cardiology and Cardiovascular Medicine (148 citations). Xiaopei Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhao Lv, Dexiang Zhang, Mi Li, Lei Zhang, Mingyan Liu, Bing Wei, Haoyuan Gao, Yue Wu, Chao Zhang and Chao Zhang. Their work appears in journals such as Biomedical Signal Processing and Control, IEEE Access, Biomedical Optics Express, ACM Transactions on Sensor Networks and IEEE Journal of Biomedical and Health Informatics.

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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