Yang Wang

9.3k citations
313 papers · 5.8k indexed · h-index 40

Impact in

Papers in

Yang Wang

285 papers receiving 5.5k citations

Peers

Yang Wang
Comparison fields: 5 of 187
  • Mathematical Physics 1.4k
  • Applied Mathematics 1.2k
  • Computer Vision and Pattern Recognition 1.6k
  • Computational Theory and Mathematics 801
  • Media Technology 324
Replace Gabriel Peyré with:
Gabriel Peyré France
Martin Burger Germany
Steven W. Zucker United States
Ulf Grenander United States
Robert W. Heath United States
K. J. Falconer United Kingdom
Ming Li China
David Mumford United States
Robert J. Plemmons United States
Luis Álvarez Spain
Yang Wang relative to Gabriel Peyré France Gabriel Peyré's profile →
Citations per field
00.5×3.3×
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-authorship network

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
#Work
1 20251
2 20246
3 20240
4 20237
5 20230
6 202314
7 20227
8 202243
9 20228
10 202014
11 20203
12 20209
13 20198
14 201933
15
Solving a perturbed amplitude-based model for phase retrieval
20191
16 201723
17 201622
18
Investigation on passenger guidance system for URT under emergency conditions
20121
19
Haar Bases for L 2 (R n ) and Algebraic Number Theory
199918
20 199635

About Yang Wang

Yang Wang is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition, Mathematical Physics, Numerical Analysis and Signal Processing, having authored 313 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), Image Enhancement Techniques (12 papers) and Sparse and Compressive Sensing 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 (1.6k citations), Computational Theory and Mathematics (801 citations) and Media Technology (324 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, Jing Zhang, Zengfu Wang, Zhiqiang Xu, Simon Lucey and Jeffrey F. Cohn. Their work appears in journals such as Applied and Computational Harmonic Analysis, Journal of Fourier Analysis and Applications, Advances in Computational Mathematics, Journal of Number Theory and Journal of Functional Analysis.

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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