Xiaowei Li

2.7k citations
68 papers · 1.6k · h-index 23

Impact in

Papers in

Xiaowei Li

62 papers receiving 1.6k citations

Peers

Xiaowei Li
Comparison fields: 5 of 116
  • Cognitive Neuroscience 1.3k
  • Experimental and Cognitive Psychology 604
  • Human-Computer Interaction 94
  • Cardiology and Cardiovascular Medicine 323
  • Applied Psychology 67
Replace Lyubomir I. Aftanas with:
Lyubomir I. Aftanas Russia
Christos A. Frantzidιs Greece
Wajid Mumtaz Malaysia
Jin‐Hun Sohn South Korea
Xu Lei China
Manousos A. Klados Greece
Reza Khosrowabadi Iran
Michaela Esslen Switzerland
Minghao Dong China
Susan Whitfield United States
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Citations per field
00.5×3.9×
Lyubomir I. Aftanas · 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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016136
2 2019125
3 2019108
4 201992
5 202088
6 201976
7 201765
8 201760
9 202059
10 202155
11 201155
12 202254
13 200944
14 201942
15 202136
16 201834
17 201532
18 202132
19 202130
20
Improve Affective Learning with EEG Approach
201028

About Xiaowei Li

Xiaowei Li is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Pharmacology, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (46 papers), Functional Brain Connectivity Studies (42 papers), Neural dynamics and brain function (19 papers), Emotion and Mood Recognition (12 papers), Mental Health Research Topics (10 papers), Neural and Behavioral Psychology Studies (9 papers), Heart Rate Variability and Autonomic Control (7 papers) and ECG Monitoring and Analysis (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Experimental and Cognitive Psychology (604 citations), Human-Computer Interaction (94 citations), Cardiology and Cardiovascular Medicine (323 citations) and Applied Psychology (67 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, Xuemin Zhang, Hanshu Cai, Ying Wang, Zihan Wang, Chen Xia and Liuqing Wei. Their work appears in journals such as IEEE Transactions on Affective Computing, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Computer Methods and Programs in Biomedicine, Frontiers in Psychology 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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