Sai Sui

2.2k citations
83 papers · 1.7k · 1 hit paper · h-index 21

Impact in

Papers in

Sai Sui

75 papers receiving 1.6k citations

Sai Sui's Hit Papers

Deep Learning: A Rapid and Efficient Route to Automatic Metasurface Design 2019 · 306 citations
3060+2+4Years since publication100200300

Peers

Sai Sui
Comparison fields: 5 of 85
  • Electronic, Optical and Magnetic Materials 1.3k
  • Aerospace Engineering 1.2k
  • Acoustics and Ultrasonics 20
  • Developmental Biology 40
  • Electrical and Electronic Engineering 328
Replace Tianshuo Qiu with:
Tianshuo Qiu China
Yixuan Tan United States
Jaebum Noh South Korea
Yan Zhao China
Xin Shi China
Jiahui Fu China
Guohui Yang China
Jun Ke China
Haofei Xu China
Bing Gao China
Sai Sui relative to Tianshuo Qiu China Tianshuo Qiu's profile →
Citations per field
00.5×10×15×
Tianshuo Qiu · 1×
Citations per year

Countries citing papers authored by Sai Sui

Since Specialization
Citations

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

Fields of papers citing papers by Sai Sui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Learning: A Rapid and Efficient Route to Automatic Metasurface Design
Hit paper breakdown →
2019306
2 2021201
3 2017131
4 201794
5 201672
6 201863
7 201554
8 202236
9 202035
10 201934
11 201834
12 201830
13 202228
14 201828
15 202127
16 201825
17 201925
18 202025
19 202221
20 201821

About Sai Sui

Sai Sui is a scholar working on Electronic, Optical and Magnetic Materials, Aerospace Engineering, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 83 papers that have together received 1.7k indexed citations. Recurring topics across this work include Metamaterials and Metasurfaces Applications (74 papers), Advanced Antenna and Metasurface Technologies (69 papers), Antenna Design and Analysis (51 papers), Electromagnetic wave absorption materials (9 papers), Optical Wireless Communication Technologies (4 papers), Thermal Radiation and Cooling Technologies (3 papers), Plasmonic and Surface Plasmon Research (3 papers) and Orbital Angular Momentum in Optics (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (1.3k citations), Aerospace Engineering (1.2k citations), Acoustics and Ultrasonics (20 citations), Developmental Biology (40 citations) and Electrical and Electronic Engineering (328 citations). Sai Sui has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Shaobo Qu, Jiafu Wang, Hua Ma, Yongfeng Li, Tianshuo Qiu, Yongqiang Pang, Mingde Feng, Jieqiu Zhang, Ruichao Zhu and Qiang Cheng. Their work appears in journals such as Journal of Physics D Applied Physics, Photonics Research, Applied Physics A, Optics Express and Nanophotonics.

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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