Xiaolin Xiao

944 citations
42 papers · 663 · h-index 12

Impact in

Papers in

Xiaolin Xiao

36 papers receiving 657 citations

Peers

Xiaolin Xiao
Comparison fields: 5 of 93
  • Cognitive Neuroscience 465
  • Human-Computer Interaction 96
  • Cellular and Molecular Neuroscience 254
  • Computational Mathematics 6
  • Signal Processing 85
Replace Cunbo Li with:
Cunbo Li China
Pitshaporn Leelaarporn Thailand
Mengfan Li China
Joana Pereira Austria
Monique Maurice France
Manuela Petti Italy
Xingwei An China
Enrique Hortal Spain
Xiaolin Xiao relative to Cunbo Li China Cunbo Li's profile →
Citations per field
00.5×5.3×
Cunbo Li · 1×
Citations per year

Countries citing papers authored by Xiaolin Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018188
2 201987
3 201449
4 201244
5 201644
6 202228
7 202322
8 202121
9 201121
10 202015
11 202114
12 202014
13 201911
14 202310
15 202210
16 20238
17 20228
18 20218
19 20227
20 20237

About Xiaolin Xiao

Xiaolin Xiao is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Human-Computer Interaction and Signal Processing, having authored 42 papers that have together received 663 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (28 papers), Neuroscience and Neural Engineering (17 papers), Advanced Memory and Neural Computing (12 papers), Neural dynamics and brain function (9 papers), Gaze Tracking and Assistive Technology (4 papers), Functional Brain Connectivity Studies (4 papers), Blind Source Separation Techniques (3 papers) and Online Learning and Analytics (2 papers). The work is most often cited by research in Cognitive Neuroscience (465 citations), Human-Computer Interaction (96 citations), Cellular and Molecular Neuroscience (254 citations), Computational Mathematics (6 citations) and Signal Processing (85 citations). Xiaolin Xiao has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Dong Ming, Minpeng Xu, Tzyy‐Ping Jung, Yijun Wang, Hongzhi Qi, Jing Jin, Desmond J. Higham, Leonardo Bottolo, Maxime Rotival and Judith A. Pratt. Their work appears in journals such as Journal of Neural Engineering, IEEE Transactions on Biomedical Engineering, Frontiers in Neuroscience, IEEE Transactions on Neural Systems and Rehabilitation Engineering and BMC Systems Biology.

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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