Xiaowei Li

2.9k citations
74 papers · 1.9k · h-index 24

Impact in

Papers in

Xiaowei Li

71 papers receiving 1.9k citations

Peers

Xiaowei Li
Comparison fields: 5 of 90
  • Cognitive Neuroscience 1.2k
  • Experimental and Cognitive Psychology 758
  • Biological Psychiatry 12
  • Pharmacology 127
  • Health Information Management 68
Replace Wajid Mumtaz with:
Wajid Mumtaz Malaysia
Dan W. Joyce United Kingdom
Seyed Mostafa Kia Netherlands
Reza Khosrowabadi Iran
Nikolay V. Manyakov Belgium
Subha D. Puthankattil India
Alejandro I de la Vega United States
Manish Saggar United States
William Pettersson‐Yeo United Kingdom
Francisco J. Fraga Brazil
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Citations per field
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Wajid Mumtaz · 1×
Citations per year

Countries citing papers authored by Xiaowei Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016153
2 2019136
3 2019120
4 2019107
5 202098
6 201987
7 202074
8 201772
9 201171
10 201767
11 202166
12 202263
13 200958
14 201945
15 202144
16 201841
17 202138
18 202135
19 201534
20
IMPROVE AFFECTIVE LEARNING WITH EEG APPROACH
201030

About Xiaowei Li

Xiaowei Li is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Human-Computer Interaction, Pharmacology and Computer Vision and Pattern Recognition, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (32 papers), EEG and Brain-Computer Interfaces (31 papers), Functional Brain Connectivity Studies (15 papers), Neural and Behavioral Psychology Studies (5 papers), Treatment of Major Depression (4 papers), Gaze Tracking and Assistive Technology (3 papers), Visual Attention and Saliency Detection (2 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Experimental and Cognitive Psychology (758 citations), Biological Psychiatry (12 citations), Pharmacology (127 citations) and Health Information Management (68 citations). Xiaowei Li has collaborated with scholars based in China, United Kingdom and Switzerland. Frequent co-authors include Bin Hu, Shuting Sun, Jing Zhu, Jianxiu Li, Rong La, Xuemin Zhang, Hanshu Cai, Ying Wang, Zihan Wang and Xuexiao Shao. Their work appears in journals such as IEEE Transactions on Affective Computing, Computer Methods and Programs in Biomedicine, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Biomedical Signal Processing and Control and IEEE Access.

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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