Yun Shan

3.2k total citations
104 papers, 2.8k citations indexed

About

Yun Shan is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Yun Shan has authored 104 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Materials Chemistry, 48 papers in Renewable Energy, Sustainability and the Environment and 38 papers in Electrical and Electronic Engineering. Recurrent topics in Yun Shan's work include Electrocatalysts for Energy Conversion (33 papers), Advanced Photocatalysis Techniques (24 papers) and 2D Materials and Applications (16 papers). Yun Shan is often cited by papers focused on Electrocatalysts for Energy Conversion (33 papers), Advanced Photocatalysis Techniques (24 papers) and 2D Materials and Applications (16 papers). Yun Shan collaborates with scholars based in China, United States and Hong Kong. Yun Shan's co-authors include Jing‐Juan Xu, Hong‐Yuan Chen, Xinglong Wu, Lizhe Liu, Weiwei Zhao, Paul K. Chu, Gang Zhou, Yuming Zhou, Zhixing Gan and Jing Wang and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and ACS Nano.

In The Last Decade

Yun Shan

93 papers receiving 2.7k citations

Peers

Yun Shan
Comparison fields: 5 of 95
  • Materials Chemistry 1.4k
  • Molecular Biology 1.0k
  • Renewable Energy, Sustainability and the Environment 987
  • Electrical and Electronic Engineering 928
  • Biomedical Engineering 695
Cuicui Du China
Daniel Bouša Czechia
Jie Wei China
Yongmei Wu China
Yaojuan Hu China
Tao Zeng China
Xiao Yang China
Ling Lin China
Zhiming Bai China
Liying Zhang China
Cuicui Du China View profile →
Citations per field, relative to Yun Shan
Yun Shan · 1×
Citations per year, relative to Yun Shan
Yun Shan · 1×

Countries citing papers authored by Yun Shan

Since Specialization
Citations

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

Fields of papers citing papers by Yun Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Shan. A scholar is included among the top collaborators of Yun Shan 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 Yun Shan. Yun Shan 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 0
2 12
3 0
4 0
5 8
6 2
7 1
8 11
9 2
10 3
11 14
12 1
13 5
14 14
15 16
16 20
17 3
18 1
19 262
20
Research on the Application of XML
1

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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