Ya Shuang

12 papers receiving 854 citations

Ya Shuang's Hit Papers

Machine-learning reprogrammable metasurface imager 2019 · 461 citations
4610+2+4Years since publication100200300400

Peers

Ya Shuang
Comparison fields: 5 of 57
  • Acoustics and Ultrasonics 30
  • Electronic, Optical and Magnetic Materials 610
  • Aerospace Engineering 537
  • Developmental Biology 15
  • Electrical and Electronic Engineering 377
Replace Hanting Zhao with:
Hanting Zhao China
Qiao Hong China
Hengxin Ruan China
Qiang Xiao China
Ruichao Zhu China
Zhangjie Luo China
Li Jing United States
Yuetian Jia China
Zhixiang Fan China
Rui Yuan Wu China
Ya Shuang relative to Hanting Zhao China Hanting Zhao's profile →
Citations per field
00.5×1.5×2.3×
Hanting Zhao · 1×
Citations per year

Countries citing papers authored by Ya Shuang

Since Specialization
Citations

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

Fields of papers citing papers by Ya Shuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Ya Shuang, 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 Ya Shuang Line = papers co-authored together Ya Shuang links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Machine-learning reprogrammable metasurface imager
Hit paper breakdown →
2019461
2 2019277
3 202071
4 202054
5 202216
6 20213
7 20173
8 20192
9 20182
10 20182
11 20191
12 20181

About Ya Shuang

Ya Shuang is a scholar working on Electronic, Optical and Magnetic Materials, Aerospace Engineering, Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 12 papers that have together received 893 indexed citations. Recurring topics across this work include Metamaterials and Metasurfaces Applications (10 papers), Antenna Design and Analysis (6 papers), Advanced Antenna and Metasurface Technologies (4 papers), Microwave Imaging and Scattering Analysis (3 papers), Millimeter-Wave Propagation and Modeling (3 papers), Indoor and Outdoor Localization Technologies (2 papers), Orbital Angular Momentum in Optics (2 papers) and Advanced Wireless Communication Technologies (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (30 citations), Electronic, Optical and Magnetic Materials (610 citations), Aerospace Engineering (537 citations), Developmental Biology (15 citations) and Electrical and Electronic Engineering (377 citations). Ya Shuang has collaborated with scholars based in China, France and Singapore. Frequent co-authors include Tie Jun Cui, Cheng‐Wei Qiu, Che Liu, Hengxin Ruan, Lianlin Li, Ying Li, Andrea Alù, Lianlin Li, Hanting Zhao and Menglin Wei. Their work appears in journals such as Patterns, Science China Information Sciences, IEEE Transactions on Antennas and Propagation, Nature Communications and Optics Letters.

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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