Cun Yu

1.1k citations
34 papers · 710 · h-index 15

Impact in

Papers in

    • Shape Memory Alloy Transformations 17
    • Titanium Alloys Microstructure and Properties 6
    • Advanced materials and composites 4
    • Metallic Glasses and Amorphous Alloys 4
    • Intermetallics and Advanced Alloy Properties 3

Cun Yu

33 papers receiving 695 citations

Peers

Cun Yu
Comparison fields: 5 of 52
  • Materials Chemistry 452
  • Automotive Engineering 95
  • Mechanical Engineering 260
  • Ceramics and Composites 27
  • Electronic, Optical and Magnetic Materials 76
Replace Fuling Tang with:
Fuling Tang China
X.D. Wang China
Bing Wei China
P. Holdway United Kingdom
Prafull Pandey India
Huixin Jin China
Linchun He China
Nana Zhao China
Jingbei Liu United States
Cun Yu relative to Fuling Tang China Fuling Tang's profile →
Citations per field
00.5×3.4×
Fuling Tang · 1×
Citations per year

Countries citing papers authored by Cun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Cun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cun Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cun Yu Line = papers co-authored together Cun Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014124
2 201670
3 201662
4 201751
5 201443
6 201133
7 201330
8 201930
9 201525
10 201422
11 201422
12 201420
13 201620
14 201317
15 201715
16 201514
17 201313
18 201411
19 201711
20 201511

About Cun Yu

Cun Yu is a scholar working on Materials Chemistry, Mechanical Engineering, Mechanics of Materials, Electrical and Electronic Engineering and Automotive Engineering, having authored 34 papers that have together received 710 indexed citations. Recurring topics across this work include Shape Memory Alloy Transformations (17 papers), Titanium Alloys Microstructure and Properties (6 papers), Metal and Thin Film Mechanics (5 papers), Advanced materials and composites (4 papers), Metallic Glasses and Amorphous Alloys (4 papers), Intermetallics and Advanced Alloy Properties (3 papers), Magnetic and transport properties of perovskites and related materials (3 papers) and Advanced Battery Technologies Research (3 papers). The work is most often cited by research in Materials Chemistry (452 citations), Automotive Engineering (95 citations), Mechanical Engineering (260 citations), Ceramics and Composites (27 citations) and Electronic, Optical and Magnetic Materials (76 citations). Cun Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yang Ren, Daqiang Jiang, Lishan Cui, Yinong Liu, Ilias Belharouak, Rui Xu, S. Cai, Xiaofeng Zhang, James C. M. Li and Dennis E. Brown. Their work appears in journals such as Applied Physics Letters, Scientific Reports, Materials Science and Engineering A, Light Science & Applications and Journal of Alloys and Compounds.

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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