2026 Yusu Wang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	44	7719	7496	3330	3203	156	5280

Yusu Wang publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yusu Wang sits on this spectrum.

32 publications 991+

This scientist: 156 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Yusu Wang D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yusu Wang sits on this spectrum.

30 D-Index 131+

This scientist: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Yusu Wang is a researcher affiliated with the University of California, San Diego, in the United States, with a focus primarily on computer science. Their research spans several subfields including computational theory and mathematics, artificial intelligence, computer vision and pattern recognition, materials chemistry, and biophysics.

The main topics of Yusu Wang's work include:

Topological and Geometric Data Analysis
Advanced Graph Neural Networks
Cell Image Analysis Techniques
Data Management and Algorithms
Graph Theory and Algorithms
Machine Learning in Materials Science
Homotopy and Cohomology in Algebraic Topology

Yusu Wang has contributed substantially to the academic literature, with frequent publications in venues such as:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
Cambridge University Press eBooks
Discrete & Computational Geometry
Proceedings of the AAAI Conference on Artificial Intelligence

Among the recent papers associated with Wang are:

Hierarchically structured bioinspired nanocomposites, 2022, Nature Materials
A Note on Over-Smoothing for Graph Neural Networks, 2020, arXiv (Cornell University)
Composition design of high-entropy alloys with deep sets learning, 2022, npj Computational Materials
Persistent Laplacians: Properties, Algorithms and Implications, 2022, SIAM Journal on Mathematics of Data Science
Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks, 2020, Nature Machine Intelligence

Yusu Wang has collaborated frequently with several researchers, including:

Tamal K. Dey
Zhengchao Wan
Lucas Magee
Chen Cai
Facundo Mémoli

Best Publications

Discrete laplace operator on meshed surfaces

Mikhail Belkin;Jian Sun;Yusu Wang

281
Citations
Near-Linear Time Approximation Algorithms for Curve Simplification

Pankaj K. Agarwal;Sariel Har-Peled;Nabil H. Mustafa;Yusu Wang

232
Citations
Constructing Laplace operator from point clouds in Rd

Mikhail Belkin;Jian Sun;Yusu Wang

207
Citations
Extreme Elevation on a 2-Manifold

Pankaj K. Agarwal;Herbert Edelsbrunner;John Harer;Yusu Wang

179
Citations
Fréchet distance for curves, revisited

Boris Aronov;Sariel Har-Peled;Christian Knauer;Yusu Wang

172
Citations
Persistent Heat Signature for Pose-oblivious Matching of Incomplete Models

Tamal K. Dey;Kuiyu Li;Chuanjiang Luo;Pawas Ranjan

145
Citations
Computing Topological Persistence for Simplicial Maps

Tamal K. Dey;Fengtao Fan;Yusu Wang

143
Citations
Measuring Distance between Reeb Graphs

Ulrich Bauer;Xiaoyin Ge;Yusu Wang

132
Citations
Exact algorithms for partial curve matching via the Fréchet distance

Kevin Buchin;Maike Buchin;Yusu Wang

115
Citations
Data Skeletonization via Reeb Graphs

Xiaoyin Ge;Issam I. Safa;Mikhail Belkin;Yusu Wang

112
Citations
Metrics for comparing neuronal tree shapes based on persistent homology.

Yanjie Li;Dingkang Wang;Giorgio A. Ascoli;Partha Mitra

100
Citations
Post-placement voltage island generation under performance requirement

Huaizhi Wu;I-Min Liu;M. D. F. Wong;Yusu Wang

96
Citations
A Note on Over-Smoothing for Graph Neural Networks

Chen Cai;Yusu Wang

96
Citations
An efficient computation of handle and tunnel loops via Reeb graphs

Tamal K. Dey;Fengtao Fan;Yusu Wang

88
Citations
Unperturbed: spectral analysis beyond Davis-Kahan

Justin Eldridge;Mikhail Belkin;Yusu Wang

86
Citations
A randomized O(m log m) time algorithm for computing Reeb graphs of arbitrary simplicial complexes

William Harvey;Yusu Wang;Rephael Wenger

82
Citations
Reeb Graphs: Approximation and Persistence

Tamal K. Dey;Yusu Wang

81
Citations
Shape Fitting with Outliers

Sariel Har-Peled;Yusu Wang

78
Citations
Distance-Sensitive information brokerage in sensor networks

Stefan Funke;Leonidas J. Guibas;An Nguyen;Yusu Wang

72
Citations
Approximating gradients for meshes and point clouds via diffusion metric

Chuanjiang Luo;Issam Safa;Yusu Wang

71
Citations
A Topological Regularizer for Classifiers via Persistent Homology

Chao Chen;Xiuyan Ni;Qinxun Bai;Yusu Wang

52
Citations
Supplementary Material for SIGGRAPH 2013 paper: An Efficient Computation of Handle and Tunnel Loops via Reeb Graphs

Tamal K. Dey;Fengtao Fan;Yusu Wang

0
Citations

Frequent Co-Authors

Tamal K. Dey Purdue University West Lafayette

Pankaj K. Agarwal Duke University

Mikhail Belkin University of California, San Diego

Sariel Har-Peled University of Illinois at Urbana-Champaign

Jian Sun Megvii

Srinivasan Parthasarathy The Ohio State University

Leonidas J. Guibas Stanford University

Herbert Edelsbrunner Institute of Science and Technology Austria

Peer-Timo Bremer Lawrence Livermore National Laboratory

Z. Josh Huang Cold Spring Harbor Laboratory

External Links

Personal website of Yusu Wang Google Scholar page

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