Yusu Wang

4.5k citations
114 papers · 1.7k · h-index 25

Impact in

Papers in

Yusu Wang

110 papers receiving 1.7k citations

Peers

Yusu Wang
Comparison fields: 5 of 136
  • Computer Graphics and Computer-Aided Design 362
  • Computational Theory and Mathematics 474
  • Biophysics 133
  • Computer Vision and Pattern Recognition 475
  • Computational Mechanics 387
Replace Facundo Mémoli with:
Facundo Mémoli United States
Frédéric Cazals France
Vijay Natarajan India
Joshua A. Levine United States
Frédéric Chazal France
Steve Oudot France
Olivier Lézoray France
R.A. Jarvis Australia
David Letscher United States
Gunther H. Weber United States
Yusu Wang relative to Facundo Mémoli United States Facundo Mémoli's profile →
Citations per field
00.5×1.5×
Facundo Mémoli · 1×
Citations per year

Countries citing papers authored by Yusu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yusu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008136
2 200978
3 202268
4 201258
5 201353
6 201352
7 200652
8 201240
9 202240
10 201739
11 200937
12 201937
13 199235
14 201535
15 200633
16 201932
17
Data Skeletonization via Reeb Graphs
201131
18
Convergence, Stability, and Discrete Approximation of Laplace Spectra
201030
19 200929
20 201229

About Yusu Wang

Yusu Wang is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Molecular Biology and Computational Mechanics, having authored 114 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (45 papers), Computational Geometry and Mesh Generation (21 papers), Data Management and Algorithms (12 papers), 3D Shape Modeling and Analysis (11 papers), Data Visualization and Analytics (10 papers), Digital Image Processing Techniques (9 papers), Homotopy and Cohomology in Algebraic Topology (8 papers) and Cell Image Analysis Techniques (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (362 citations), Computational Theory and Mathematics (474 citations), Biophysics (133 citations), Computer Vision and Pattern Recognition (475 citations) and Computational Mechanics (387 citations). Yusu Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Tamal K. Dey, Jian Sun, Mikhail A. Belkin, Pankaj K. Agarwal, Herbert Edelsbrunner, Sariel Har-Peled, Facundo Mémoli, John Harer, Fengtao Fan and Maike Buchin. Their work appears in journals such as Discrete & Computational Geometry, Pesticide Biochemistry and Physiology, Computer Graphics Forum, PLoS ONE and ACM Transactions on Graphics.

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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