Yu Song

2.4k citations
103 papers · 576 indexed · h-index 12
Topics
3D Shape Modeling and Analysis (20 papers)Ergonomics and Musculoskeletal Disorders (17 papers)Advanced Numerical Analysis Techniques (15 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessChem

In The Last Decade

Yu Song

89 papers receiving 535 citations

Peers

Yu Song
Comparison fields: 5 of 128
  • Industrial and Manufacturing Engineering 114
  • Biomedical Engineering 104
  • Social Psychology 89
  • Computer Vision and Pattern Recognition 74
  • Computational Mechanics 74
Replace James Cunningham with:
James Cunningham United States
Andrea Vitali Italy
Daxton R. Stewart United States
Mario Lorenz Germany
Robert Sitnik Poland
Jianwei Niu China
Seung-Hyun Lee South Korea
Wanwan Li United States
Hoeryong Jung South Korea
Florian Niebling Germany
Yu Song relative to James Cunningham United States James Cunningham's profile →
Citations per field
00.5×5.2×
James Cunningham · 1×
Citations per year

Countries citing papers authored by Yu Song

Since Specialization
Citations

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

Fields of papers citing papers by Yu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Song. A scholar is included among the top collaborators of Yu Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu Song. Yu Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 2
4 0
5 1
6 1
7 2
8 10
9 10
10 6
11 7
12 6
13 26
14
Partial 3D shape matching using large fat tetrahedrons
3
15
A METHOD TO CHART THE STRUCTURE OF DESIGNERS' CLAY MODELING PROCESSES
1
16
Towards Reverse Design of Freeform Shapes.
2
17 2
18 1
19
Complex 3D feature registration using a marching template
6
20
Direct 3D Pattern Matching in the Domain of Freeform Shapes.
5

About Yu Song

Yu Song is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Industrial and Manufacturing Engineering, having authored 103 papers that have together received 576 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (20 papers), Ergonomics and Musculoskeletal Disorders (17 papers) and Advanced Numerical Analysis Techniques (15 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (114 citations), Human-Computer Interaction (51 citations) and Health Informatics (12 citations). Yu Song has collaborated with scholars based in Netherlands, China and United States. Frequent co-authors include Joris S. M. Vergeest, P. Vink, Jo M. P. Geraedts, Tischa J. M. van der Cammen, Reza Modarres, Pieter Jan Stappers, Ursula Nestle, Tanja Schimek‐Jasch, Sonja Adebahr and Jun Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Chem.

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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