Guangxu Su

23 total papers · 1.3k total citations
19 papers, 995 citations indexed

About

Guangxu Su is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Guangxu Su has authored 19 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atomic and Molecular Physics, and Optics, 10 papers in Biomedical Engineering and 8 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Guangxu Su's work include Plasmonic and Surface Plasmon Research (9 papers), Metamaterials and Metasurfaces Applications (6 papers) and Photonic Crystals and Applications (5 papers). Guangxu Su is often cited by papers focused on Plasmonic and Surface Plasmon Research (9 papers), Metamaterials and Metasurfaces Applications (6 papers) and Photonic Crystals and Applications (5 papers). Guangxu Su collaborates with scholars based in China, United States and Japan. Guangxu Su's co-authors include Peng Zhan, Zhenlin Wang, Ming‐Hui Lu, Hongfei Wang, Yan‐Feng Chen, Hai Su, Xiaopeng Shen, B. P. Xie, Feng Liu and Si‐Yuan Yu and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nano Letters.

In The Last Decade

Guangxu Su

18 papers receiving 953 citations

Hit Papers

Visualization of Higher-O... 2019 2026 2021 2023 2019 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Guangxu Su 714 296 273 273 222 19 995
Kwang‐Yong Jeong 462 0.6× 243 0.8× 222 0.8× 365 1.3× 350 1.6× 27 804
Antonio Capretti 438 0.6× 363 1.2× 257 0.9× 491 1.8× 518 2.3× 22 1.0k
Min Chen 546 0.8× 197 0.7× 241 0.9× 510 1.9× 247 1.1× 27 960
Nilesh Awari 546 0.8× 220 0.7× 147 0.5× 454 1.7× 205 0.9× 22 808
Thorsten Feichtner 396 0.6× 507 1.7× 110 0.4× 282 1.0× 641 2.9× 18 983
Y. Au 468 0.7× 423 1.4× 244 0.9× 374 1.4× 218 1.0× 28 875
Tzuhsuan Ma 939 1.3× 405 1.4× 109 0.4× 318 1.2× 224 1.0× 9 1.1k
Gui-Geng Liu 779 1.1× 288 1.0× 117 0.4× 154 0.6× 142 0.6× 30 940
Soham Saha 505 0.7× 269 0.9× 136 0.5× 586 2.1× 394 1.8× 33 980
Christopher W. Peterson 880 1.2× 130 0.4× 263 1.0× 236 0.9× 91 0.4× 18 1.1k

Countries citing papers authored by Guangxu Su

Since Specialization
Citations

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

Fields of papers citing papers by Guangxu Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangxu Su

This figure shows the co-authorship network connecting the top 25 collaborators of Guangxu Su. A scholar is included among the top collaborators of Guangxu Su 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 Guangxu Su. Guangxu Su 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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