Yang Wang

9.3k citations
306 papers · 5.8k · h-index 41

Impact in

Papers in

Yang Wang

281 papers receiving 5.5k citations

Peers

Yang Wang
Comparison fields: 5 of 178
  • Mathematical Physics 1.4k
  • Applied Mathematics 1.2k
  • Computer Vision and Pattern Recognition 1.7k
  • Computational Theory and Mathematics 805
  • Signal Processing 392
Replace Antonin Chambolle with:
Antonin Chambolle France
Gabriel Peyré France
Martin Burger Germany
Steven W. Zucker United States
Robert J. Plemmons United States
David Mumford United States
Ming Li China
Rodolphe Sepulchre Belgium
Xue‐Cheng Tai Norway
David Cox United States
Yang Wang relative to Antonin Chambolle France Antonin Chambolle's profile →
Citations per field
00.5×3.2×
Antonin Chambolle · 1×
Citations per year

Countries citing papers authored by Yang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 306 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992260
2 2017225
3 1996195
4 2002184
5 2009173
6 1996162
7 2016120
8 1995120
9 2008113
10 1996109
11 2018109
12 2001100
13 199696
14 201983
15 201379
16 199978
17 199777
18 199962
19 199760
20 201960

About Yang Wang

Yang Wang is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics, Computational Mechanics, Mathematical Physics and Computational Theory and Mathematics, having authored 306 papers that have together received 5.8k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (45 papers), Mathematical Analysis and Transform Methods (44 papers), Mathematical Dynamics and Fractals (29 papers), Advanced Numerical Analysis Techniques (18 papers), Advanced X-ray Imaging Techniques (15 papers), Optical measurement and interference techniques (13 papers), Sparse and Compressive Sensing Techniques (12 papers) and Image Enhancement Techniques (12 papers). The work is most often cited by research in Mathematical Physics (1.4k citations), Applied Mathematics (1.2k citations), Computer Vision and Pattern Recognition (1.7k citations), Computational Theory and Mathematics (805 citations) and Signal Processing (392 citations). Yang Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jeffrey C. Lagarias, Marc A. Berger, Izabella Łaba, Haomin Zhou, Yang Cao, Sze‐Man Ngai, Zhiqiang Xu, Zengfu Wang, Jing Zhang and Simon Lucey. Their work appears in journals such as Applied and Computational Harmonic Analysis, Journal of Fourier Analysis and Applications, Advances in Computational Mathematics, Advances in Mathematics and Journal of Mathematical Analysis and Applications.

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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