Chun Gao

564 total citations
16 papers, 466 citations indexed

About

Chun Gao is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Chun Gao has authored 16 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 5 papers in Electrical and Electronic Engineering and 3 papers in Biomedical Engineering. Recurrent topics in Chun Gao's work include Diamond and Carbon-based Materials Research (5 papers), Nanowire Synthesis and Applications (3 papers) and Thermal properties of materials (2 papers). Chun Gao is often cited by papers focused on Diamond and Carbon-based Materials Research (5 papers), Nanowire Synthesis and Applications (3 papers) and Thermal properties of materials (2 papers). Chun Gao collaborates with scholars based in China, Germany and United Kingdom. Chun Gao's co-authors include Qing Gao, Limin Cao, Minghui Liu, Yuying Yan, Guohua Wang, Cong Xiao, Tianshi Zhang, Y. Q. Wang, X. Y. Zhang and W. K. Wang and has published in prestigious journals such as Advanced Materials, Applied Physics Letters and Carbon.

In The Last Decade

Chun Gao

15 papers receiving 454 citations

Peers

Chun Gao
Comparison fields: 5 of 47
  • Materials Chemistry 265
  • Electrical and Electronic Engineering 206
  • Automotive Engineering 149
  • Mechanical Engineering 56
  • Biomedical Engineering 45
Replace Pin-Wen Guan with:
Pin-Wen Guan United States
Gogi Singh United States
Ananya Renuka Balakrishna United States
Ki‐Hwan Kim South Korea
Stefan Schmid Germany
E.M. Kelder Netherlands
Yuanqing Mao China
Siddhartha Mal United States
Jincheng Lei United States
Hongqiang Nian China
Pin-Wen Guan United States View profile →
Citations per field, relative to Chun Gao
Chun Gao · 1×
Citations per year, relative to Chun Gao
Chun Gao · 1×

Countries citing papers authored by Chun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Chun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun Gao

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 10
5 2
6 158
7 3
8 1
9 1
10 16
11 29
12 7
13 44
14 30
15 31
16 132

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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2026