Yang Wang

9.3k citations
322 papers · 6.2k · h-index 41

Impact in

Papers in

Yang Wang

294 papers receiving 5.9k citations

Peers

Yang Wang
Comparison fields: 5 of 182
  • Mathematical Physics 1.6k
  • Applied Mathematics 1.3k
  • Computer Vision and Pattern Recognition 1.8k
  • Computational Theory and Mathematics 876
  • Signal Processing 432
Replace Gabriel Peyré with:
Gabriel Peyré France
Martin Burger Germany
Gitta Kutyniok Germany
Robert J. Plemmons United States
Luis Álvarez Spain
David Cox United States
Mauro Maggioni United States
Rodolphe Sepulchre Belgium
David Mumford United States
Joachim Weickert Germany
Yang Wang relative to Gabriel Peyré France Gabriel Peyré's profile →
Citations per field
00.5×3.0×
Gabriel Peyré · 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 322 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992281
2 2017239
3 1996201
4 2002189
5 2009179
6 1996171
7 1995133
8 2016129
9 2008126
10 2018115
11 1996111
12 1996104
13 2001102
14 201987
15 199985
16 199781
17 201380
18 199965
19 199763
20 201963

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 322 papers that have together received 6.2k indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (46 papers), Image and Signal Denoising Methods (46 papers), Mathematical Dynamics and Fractals (30 papers), Advanced Numerical Analysis Techniques (20 papers), Advanced X-ray Imaging Techniques (16 papers), Optical measurement and interference techniques (14 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 (1.6k citations), Applied Mathematics (1.3k citations), Computer Vision and Pattern Recognition (1.8k citations), Computational Theory and Mathematics (876 citations) and Signal Processing (432 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, Jing Zhang, Zengfu Wang 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, Journal of Mathematical Analysis and Applications and Advances in Mathematics.

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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