Zai Yang

77 papers receiving 3.3k citations

Zai Yang's Hit Papers

Sparse methods for direction-of-arrival estimation 2017 · 254 citations
2540+4+9Years since publication250500750

Peers

Zai Yang
Comparison fields: 5 of 47
  • Signal Processing 1.6k
  • Computational Mechanics 881
  • Aerospace Engineering 630
  • Computational Mathematics 7
  • Electrical and Electronic Engineering 532
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Piya Pal United States
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Kon Max Wong Canada
Massoud Babaie‐Zadeh Iran
Shane F. Cotter United States
Olivier Besson France
J. Scott Goldstein United States
Qun Wan China
K.V.S. Hari India
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Citations per year

Countries citing papers authored by Zai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Off-Grid Direction of Arrival Estimation Using Sparse Bayesian Inference
Hit paper breakdown →
2012759
2
On Gridless Sparse Methods for Line Spectral Estimation From Complete and Incomplete Data
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2015278
3
Sparse methods for direction-of-arrival estimation
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2017254
4
Enhancing Sparsity and Resolution via Reweighted Atomic Norm Minimization
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2015237
5
Vandermonde Decomposition of Multilevel Toeplitz Matrices With Application to Multidimensional Super-Resolution
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2016218
6
Exact Joint Sparse Frequency Recovery via Optimization Methods
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2016215
7 2013196
8 2014181
9 2014175
10 2012126
11 202162
12 201342
13 201940
14 202339
15 201438
16 201832
17 201730
18 201129
19 202226
20 202025

About Zai Yang

Zai Yang is a scholar working on Computational Mechanics, Signal Processing, Aerospace Engineering, Electrical and Electronic Engineering and Applied Mathematics, having authored 87 papers that have together received 3.4k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (42 papers), Direction-of-Arrival Estimation Techniques (23 papers), Radar Systems and Signal Processing (6 papers), Millimeter-Wave Propagation and Modeling (4 papers), Advanced Wireless Communication Technologies (4 papers), Mathematical Analysis and Transform Methods (4 papers), Wireless Communication Security Techniques (3 papers) and Matrix Theory and Algorithms (3 papers). The work is most often cited by research in Signal Processing (1.6k citations), Computational Mechanics (881 citations), Aerospace Engineering (630 citations), Computational Mathematics (7 citations) and Electrical and Electronic Engineering (532 citations). Zai Yang has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Lihua Xie, Cishen Zhang, Petre Stoica, Baoqi Huang, Jian Li, Laura Anitori, Richard G. Baraniuk, Arian Maleki, Zhiqiang Wei and Junpeng Shi. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Information Theory, IEEE Transactions on Wireless Communications, IEEE Transactions on Aerospace and Electronic Systems and Signal Processing.

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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