Yixuan Sun

2.4k citations
69 papers · 1.5k indexed · 2 hit papers · h-index 18

Yixuan Sun

65 papers receiving 1.5k citations

Hit Papers

A systematic review on affective computing: emotion model...2982022202620232024100200300

Peers

Yixuan Sun
Comparison fields: 5 of 154
  • Experimental and Cognitive Psychology 270
  • Health Informatics 24
  • Computer Vision and Pattern Recognition 230
  • Automotive Engineering 120
  • Artificial Intelligence 318
Replace Lingyun Sun with:
Lingyun Sun China
Wonjoon Kim South Korea
Christopher McComb United States
Zhe Sun China
Peter Childs United Kingdom
Rui Li China
Beatriz López Spain
Jing Du United States
Iztok Humar Slovenia
Francisco J. Martínez Spain
Yixuan Sun relative to Lingyun Sun China Lingyun Sun's profile →
Citations per field
00.5×3.4×
Lingyun Sun · 1×
Citations per year

Countries citing papers authored by Yixuan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yixuan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20251
3 20250
4 20251
5 20245
6 20244
7 202410
8 202321
9 202328
10 20230
11 20231
12 20235
13 202233
14
A survey of human-in-the-loop for machine learningbreakdown →
2022368
15 20219
16 20201
17 202022
18 20184
19
A DEM Strategy for Modeling Fluid Injection in an Unconsolidated Medium
20171
20
Urban traffic accident time series prediction model based on combination of ARIMA and information granulation SVR
20157

About Yixuan Sun

Yixuan Sun is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Welding Techniques and Residual Stresses (6 papers), Additive Manufacturing Materials and Processes (5 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), Emotion and Mood Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (3 papers) and Infrastructure Maintenance and Monitoring (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (270 citations), Health Informatics (24 citations) and Computer Vision and Pattern Recognition (230 citations). Yixuan Sun has collaborated with scholars based in China, United States and France. Frequent co-authors include Tianlong Ma, Xingjiao Wu, Junhang Zhang, Luwei Xiao, Liang He, Weifeng Ge, Shuyong Gao, Guang Lin, Wei Zhang and Wenqiang Zhang.

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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