Shaohua Yan

699 total citations
20 papers, 457 citations indexed

About

Shaohua Yan is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Shaohua Yan has authored 20 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 10 papers in Electronic, Optical and Magnetic Materials and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Shaohua Yan's work include 2D Materials and Applications (17 papers), Perovskite Materials and Applications (5 papers) and Advanced Condensed Matter Physics (5 papers). Shaohua Yan is often cited by papers focused on 2D Materials and Applications (17 papers), Perovskite Materials and Applications (5 papers) and Advanced Condensed Matter Physics (5 papers). Shaohua Yan collaborates with scholars based in China, United States and South Korea. Shaohua Yan's co-authors include Hechang Lei, Shangjie Tian, Gaihua Ye, Rui He, Fu Yang, Liuyan Zhao, Kai Sun, Zhipeng Ye, Robert Hovden and Suk Hyun Sung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Materials.

In The Last Decade

Shaohua Yan

20 papers receiving 449 citations

Peers

Shaohua Yan
Comparison fields: 5 of 19
  • Materials Chemistry 346
  • Atomic and Molecular Physics, and Optics 189
  • Electronic, Optical and Magnetic Materials 155
  • Electrical and Electronic Engineering 135
  • Condensed Matter Physics 99
Replace Xuan Luo with:
Xuan Luo China
Danila Amoroso Belgium
Deepak Sapkota United States
Kyle Hwangbo United States
Xieyu Zhou China
Alemayehu S. Admasu United States
Jesse Kapeghian United States
Safe Khan United Kingdom
Xiangde Zhu China
Shazhou Zhong Canada
Xuan Luo China View profile →
Citations per field, relative to Shaohua Yan
Shaohua Yan · 1×
Citations per year, relative to Shaohua Yan
Shaohua Yan · 1×

Countries citing papers authored by Shaohua Yan

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohua Yan. A scholar is included among the top collaborators of Shaohua Yan 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 Shaohua Yan. Shaohua Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 3
3 13
4 6
5 12
6 2
7 14
8 55
9 8
10 30
11 19
12 59
13 37
14 30
15 17
16 3
17 8
18 91
19 21
20 25

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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