Thomas Yu

554 citations
33 papers · 376 indexed · h-index 12

Impact in

Papers in

Thomas Yu

33 papers receiving 343 citations

Peers

Thomas Yu
Comparison fields: 5 of 50
  • Computer Graphics and Computer-Aided Design 57
  • Computational Mechanics 281
  • Numerical Analysis 39
  • Structural Biology 9
  • Computer Vision and Pattern Recognition 102
Replace A. S. Cavaretta with:
A. S. Cavaretta United States
Marie‐Laurence Mazure France
Evan C. Sherbrooke United States
Shripad Thite United States
Martin Marsden United States
M.C. Rivara Chile
Katherine Breeden United States
Mohamed Elkadi France
François Malgouyres France
P.V. Sankar United States
Thomas Yu relative to A. S. Cavaretta United States A. S. Cavaretta's profile →
Citations per field
00.5×4.3×
A. S. Cavaretta · 1×
Citations per year

Countries citing papers authored by Thomas Yu

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Thomas Yu, 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 Thomas Yu Line = papers co-authored together Thomas Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200039
2 200333
3 200431
4 200628
5 200721
6 200821
7 200419
8 199618
9 200317
10 200917
11 200014
12 200412
13 20119
14 19998
15 20068
16
On a Linearization Principle for Nonlinear p-mean Subdivision Schemes
20038
17 20027
18 20017
19
Face-based Hermite Subdivision Schemes
20037
20 20206

About Thomas Yu

Thomas Yu is a scholar working on Computational Mechanics, Mechanical Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Mechanics of Materials, having authored 33 papers that have together received 376 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (26 papers), Advanced machining processes and optimization (10 papers), Image and Signal Denoising Methods (7 papers), Numerical methods in engineering (5 papers), Tribology and Lubrication Engineering (5 papers), Cell Image Analysis Techniques (3 papers), Computational Geometry and Mesh Generation (3 papers) and Polynomial and algebraic computation (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (57 citations), Computational Mechanics (281 citations), Numerical Analysis (39 citations), Structural Biology (9 citations) and Computer Vision and Pattern Recognition (102 citations). Thomas Yu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Gang Xie, Bin Han, David L. Donoho, Gang Lin, Bruce Piper, A. Stoschek, Tom Duchamp, Michael L. Overton, Jingmin Chen and David Levin. Their work appears in journals such as SIAM Journal on Numerical Analysis, Mathematics of Computation, Foundations of Computational Mathematics, Multiscale Modeling and Simulation and IMA Journal of Numerical Analysis.

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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