Shaofan Yuan

34 total papers · 1.9k total citations
18 papers, 1.6k citations indexed

About

Shaofan Yuan is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Shaofan Yuan has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 11 papers in Electrical and Electronic Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Shaofan Yuan's work include 2D Materials and Applications (10 papers), Perovskite Materials and Applications (7 papers) and Graphene research and applications (4 papers). Shaofan Yuan is often cited by papers focused on 2D Materials and Applications (10 papers), Perovskite Materials and Applications (7 papers) and Graphene research and applications (4 papers). Shaofan Yuan collaborates with scholars based in United States, Japan and Israel. Shaofan Yuan's co-authors include Fengnian Xia, Kenji Watanabe, Takashi Taniguchi, Doron Naveh, Bingchen Deng, Xiaolong Chen, Chao Ma, Fan Zhang, Qiushi Guo and Cheng Li and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Shaofan Yuan

17 papers receiving 1.5k citations

Hit Papers

A wavelength-scale black ... 2021 2026 2022 2024 2021 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Shaofan Yuan 1.0k 944 449 347 275 18 1.6k
Xiaonan Hu 708 0.7× 720 0.8× 382 0.9× 313 0.9× 257 0.9× 23 1.3k
Gabrielė Navickaitė 1.4k 1.4× 1.3k 1.4× 841 1.9× 578 1.7× 417 1.5× 21 2.3k
Qi You 836 0.8× 867 0.9× 669 1.5× 419 1.2× 343 1.2× 45 1.8k
Anyuan Gao 1.3k 1.3× 1.2k 1.3× 326 0.7× 405 1.2× 206 0.7× 21 1.9k
Jiabao Zheng 1.2k 1.2× 663 0.7× 421 0.9× 588 1.7× 171 0.6× 19 1.6k
Farzaneh Afshinmanesh 1.0k 1.0× 1.0k 1.1× 562 1.3× 320 0.9× 420 1.5× 14 1.7k
Tom Albrow‐Owen 499 0.5× 1.1k 1.2× 663 1.5× 601 1.7× 215 0.8× 21 1.7k
Xinyu Huang 844 0.8× 758 0.8× 305 0.7× 212 0.6× 248 0.9× 32 1.3k
Dennis M. Callahan 522 0.5× 908 1.0× 485 1.1× 268 0.8× 143 0.5× 35 1.3k
Sandro Mignuzzi 1.0k 1.0× 662 0.7× 392 0.9× 246 0.7× 241 0.9× 24 1.5k

Countries citing papers authored by Shaofan Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Shaofan Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaofan Yuan

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