Yu Yao

204 total papers · 5.4k total citations
120 papers, 4.2k citations indexed

About

Yu Yao is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Yu Yao has authored 120 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 37 papers in Biomedical Engineering and 26 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Yu Yao's work include Metamaterials and Metasurfaces Applications (23 papers), Plasmonic and Surface Plasmon Research (20 papers) and Spectroscopy and Laser Applications (18 papers). Yu Yao is often cited by papers focused on Metamaterials and Metasurfaces Applications (23 papers), Plasmonic and Surface Plasmon Research (20 papers) and Spectroscopy and Laser Applications (18 papers). Yu Yao collaborates with scholars based in China, United States and Austria. Yu Yao's co-authors include Federico Capasso, Yi Song, Jing Kong, Mikhail A. Kats, Claire Gmachl, Anthony J. Hoffman, Raji Shankar, Jing Bai, Marko Lončar and Chao Wang and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Yu Yao

108 papers receiving 4.0k citations

Hit Papers

Electrically Tunable Meta... 2012 2026 2016 2021 2014 2013 2012 2019 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yu Yao 1.9k 1.7k 1.6k 1.1k 897 120 4.2k
Aleksandar D. Rakić 1.5k 0.8× 2.8k 1.6× 4.1k 2.6× 2.4k 2.1× 326 0.4× 184 7.0k
Tarik Bourouina 870 0.5× 2.0k 1.2× 2.5k 1.6× 1.2k 1.1× 485 0.5× 234 4.6k
Glenn D. Boreman 1.8k 0.9× 2.7k 1.6× 2.5k 1.6× 1.7k 1.5× 1.1k 1.2× 265 5.7k
Hui Luo 3.9k 2.0× 1.0k 0.6× 1.4k 0.9× 819 0.7× 3.0k 3.4× 196 5.4k
Alexei A. Maradudin 1.3k 0.7× 2.5k 1.5× 1.3k 0.8× 2.7k 2.4× 196 0.2× 116 5.8k
Fei Gao 2.0k 1.0× 1.8k 1.0× 1.4k 0.9× 3.5k 3.1× 628 0.7× 200 5.8k
Hong Zhou 866 0.5× 1.6k 1.0× 1.8k 1.2× 751 0.7× 323 0.4× 223 4.0k
Pan Wang 1.1k 0.6× 2.0k 1.2× 2.2k 1.4× 995 0.9× 285 0.3× 202 4.9k
M. Pınar Mengüç 443 0.2× 1.2k 0.7× 524 0.3× 1.3k 1.1× 548 0.6× 197 5.6k
Guohua Zhu 1.6k 0.8× 2.5k 1.4× 1.1k 0.7× 1.3k 1.2× 151 0.2× 143 6.3k

Countries citing papers authored by Yu Yao

Since Specialization
Citations

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

Fields of papers citing papers by Yu Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Yao. A scholar is included among the top collaborators of Yu Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu Yao. Yu Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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