Thomas Yu

548 citations
38 papers · 463 · h-index 12

Impact in

Papers in

    • Geometric Analysis and Curvature Flows 8
    • Mathematical functions and polynomials 7
    • Mathematical Analysis and Transform Methods 4
    • Advanced Numerical Analysis Techniques 21
    • Advanced Numerical Methods in Computational Mathematics 6

Thomas Yu

37 papers receiving 419 citations

Peers

Thomas Yu
Comparison fields: 5 of 41
  • Computer Graphics and Computer-Aided Design 120
  • Applied Mathematics 190
  • Computational Mechanics 273
  • Numerical Analysis 46
  • Structural Biology 10
Replace Alain Le Mehaute with:
Alain Le Mehaute France
M. Rossini Italy
Maria Lucia Sampoli Italy
Shun’ichi Goto Japan
Marie‐Laurence Mazure France
G. Heinzinger United States
Bernd Kawohl Germany
Joachim Stöckler Germany
Giampietro Allasia Italy
Albert Chern United States
Thomas Yu relative to Alain Le Mehaute France Alain Le Mehaute's profile →
Citations per field
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Alain Le Mehaute · 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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200042
2 200335
3 200433
4 200629
5 200828
6 200726
7 199624
8 200423
9 200922
10 200316
11 200015
12 201114
13 200412
14 200211
15
On a Linearization Principle for Nonlinear p-mean Subdivision Schemes
200310
16 19999
17 20069
18 20119
19 20139
20 20028

About Thomas Yu

Thomas Yu is a scholar working on Applied Mathematics, Computational Mechanics, Computer Graphics and Computer-Aided Design, Numerical Analysis and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 463 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (21 papers), Computer Graphics and Visualization Techniques (9 papers), Geometric Analysis and Curvature Flows (8 papers), Mathematical functions and polynomials (7 papers), Image and Signal Denoising Methods (6 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Mathematical Analysis and Transform Methods (4 papers) and Mathematical Approximation and Integration (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (120 citations), Applied Mathematics (190 citations), Computational Mechanics (273 citations), Numerical Analysis (46 citations) and Structural Biology (10 citations). Thomas Yu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include David L. Donoho, Bin Han, Gang Lin, Bruce Piper, A. Stoschek, Tom Duchamp, Michael L. Overton, Tim N.T. Goodman, Nira Dyn and Reiner Hegerl. Their work appears in journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis, IMA Journal of Numerical Analysis, Numerical Algorithms and Multiscale Modeling and Simulation.

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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