Yaoru Sun

1.3k citations
60 papers · 929 · h-index 16

Impact in

Papers in

Yaoru Sun

57 papers receiving 880 citations

Peers

Yaoru Sun
Comparison fields: 5 of 93
  • Human-Computer Interaction 138
  • Cognitive Neuroscience 401
  • Computer Vision and Pattern Recognition 347
  • Sensory Systems 49
  • Statistical and Nonlinear Physics 75
Replace Cornelius Weber with:
Cornelius Weber Germany
Kaixuan Chen Australia
Wolfram Erlhagen Portugal
Kyoobin Lee South Korea
Cheston Tan Singapore
Paul Fitzpatrick United States
Sachin S. Talathi United States
Florian Röhrbein Germany
Andrew Saxe United States
Yaoru Sun relative to Cornelius Weber Germany Cornelius Weber's profile →
Citations per field
00.5×2×4×5.4×
Cornelius Weber · 1×
Citations per year

Countries citing papers authored by Yaoru Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yaoru Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003230
2 201867
3 200666
4 200843
5 201942
6 200840
7 201035
8 201733
9 201032
10 202331
11 201226
12 202124
13 202222
14 200618
15 201017
16 200215
17 201114
18 202012
19 201912
20 201811

About Yaoru Sun

Yaoru Sun is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Social Psychology, Artificial Intelligence and Human-Computer Interaction, having authored 60 papers that have together received 929 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), Action Observation and Synchronization (10 papers), Neural dynamics and brain function (9 papers), Gaze Tracking and Assistive Technology (8 papers), Visual Attention and Saliency Detection (7 papers), Muscle activation and electromyography studies (7 papers), Neuroscience and Neural Engineering (5 papers) and Motor Control and Adaptation (5 papers). The work is most often cited by research in Human-Computer Interaction (138 citations), Cognitive Neuroscience (401 citations), Computer Vision and Pattern Recognition (347 citations), Sensory Systems (49 citations) and Statistical and Nonlinear Physics (75 citations). Yaoru Sun has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Robert B. Fisher, Zijian Wang, Jinhua Zeng, Fang Wang, Fang Wang, Yamir Moreno, Fang Wang, Haoran Wang, Zuo Zhang and Lei Cao. Their work appears in journals such as IEEE Access, Scientific Reports, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Neurocomputing and IEEE Transactions on Automation Science and Engineering.

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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