Kun Yan

3.2k total citations · 1 hit paper
76 papers, 2.6k citations indexed

About

Kun Yan is a scholar working on Mechanical Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Kun Yan has authored 76 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Mechanical Engineering, 35 papers in Materials Chemistry and 16 papers in Biomedical Engineering. Recurrent topics in Kun Yan's work include Microstructure and Mechanical Properties of Steels (12 papers), Microstructure and mechanical properties (11 papers) and Metal Alloys Wear and Properties (9 papers). Kun Yan is often cited by papers focused on Microstructure and Mechanical Properties of Steels (12 papers), Microstructure and mechanical properties (11 papers) and Metal Alloys Wear and Properties (9 papers). Kun Yan collaborates with scholars based in China, United Kingdom and Australia. Kun Yan's co-authors include Klaus-Dieter Liß, Saurabh Kabra, Yiqiang Wang, Peter Lee, Biao Cai, Bin Liu, Yong Liu, Jinyuan Zhou, Hongfa Yu and Xiaowen Shi and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Kun Yan

72 papers receiving 2.5k citations

Hit Papers

Probing deformation mechanisms of a FeCoCrNi high-entropy... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers

Kun Yan
Comparison fields: 5 of 118
  • Mechanical Engineering 1.2k
  • Materials Chemistry 985
  • Aerospace Engineering 440
  • Radiology, Nuclear Medicine and Imaging 429
  • Biomedical Engineering 327
Replace Xuexi Zhang with:
Xuexi Zhang China
Fei Liu China
Christina Reinhard United Kingdom
Takuya Ishimoto Japan
Wonbae Lee South Korea
Behnam Akhavan Australia
Yafeng Yang China
Yang Ju Japan
Yu Yan China
Hoonsung Cho South Korea
Xuexi Zhang China View profile →
Citations per field, relative to Kun Yan
Kun Yan · 1×
Citations per year, relative to Kun Yan
Kun Yan · 1×

Countries citing papers authored by Kun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Yan. A scholar is included among the top collaborators of Kun 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 Kun Yan. Kun 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 0
2 0
3 12
4 3
5 6
6 2
7 0
8 2
9 32
10 3
11 7
12 12
13
Probing deformation mechanisms of a FeCoCrNi high-entropy alloy at 293 and 77 K using in situ neutron diffraction breakdown →
271
14 77
15 87
16 69
17 5
18
In-situ characterization of lattice structure evolution during phase transformation of Zr-2.5 Nb
1
19 424
20 187

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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