Yusu Wang

4.4k citations
113 papers · 1.6k · h-index 25

Impact in

Papers in

Yusu Wang

108 papers receiving 1.6k citations

Peers

Yusu Wang
Comparison fields: 5 of 134
  • Computer Graphics and Computer-Aided Design 340
  • Computational Theory and Mathematics 473
  • Biophysics 136
  • Computer Vision and Pattern Recognition 461
  • Computational Mechanics 357
Replace Facundo Mémoli with:
Facundo Mémoli United States
Vijay Natarajan India
Frédéric Cazals France
Frédéric Chazal France
R.A. Jarvis Australia
Joshua A. Levine United States
Joachim Giesen Germany
Gunther H. Weber United States
Rolf Klein Germany
David Letscher 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 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008134
2 200978
3 202263
4 201257
5 201353
6 200652
7 201351
8 202240
9 201239
10 201739
11 201937
12 200936
13 199235
14 201535
15 200633
16 201932
17
Data Skeletonization via Reeb Graphs
201131
18 200929
19 201229
20 200428

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 113 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (45 papers), Computational Geometry and Mesh Generation (20 papers), Data Management and Algorithms (12 papers), 3D Shape Modeling and Analysis (10 papers), Data Visualization and Analytics (10 papers), Digital Image Processing Techniques (9 papers), Cell Image Analysis Techniques (8 papers) and Homotopy and Cohomology in Algebraic Topology (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (340 citations), Computational Theory and Mathematics (473 citations), Biophysics (136 citations), Computer Vision and Pattern Recognition (461 citations) and Computational Mechanics (357 citations). Yusu Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jian Sun, Mikhail A. Belkin, Tamal K. Dey, Pankaj K. Agarwal, Herbert Edelsbrunner, Sariel Har-Peled, Facundo Mémoli, John Harer, Fengtao Fan and Kevin Buchin. Their work appears in journals such as Discrete & Computational Geometry, Pesticide Biochemistry and Physiology, Computer Graphics Forum, Computational Geometry and ACM Transactions on Algorithms.

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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