Jun Lin

1.7k citations
73 papers · 1.4k · h-index 22

Impact in

    • Polymer Foaming and Composites
    • Natural Fiber Reinforced Composites
    • Surface Treatment and Residual Stress
    • Metal Forming Simulation Techniques
    • Aluminum Alloys Composites Properties

Papers in

Jun Lin

71 papers receiving 1.4k citations

Peers

Jun Lin
Comparison fields: 5 of 62
  • Polymers and Plastics 334
  • Mechanical Engineering 795
  • Biomaterials 273
  • Mechanics of Materials 465
  • Process Chemistry and Technology 49
Replace B. Shivamurthy with:
B. Shivamurthy India
Tom Løgstrup Andersen Denmark
Ashish Warrier India
Waldek Wladimir Bose Filho Brazil
J. W. Kaczmar Poland
Zhongwei Zhang China
Gérard Bernhart France
Pyeong-Su Shin South Korea
Jun Lin relative to B. Shivamurthy India B. Shivamurthy's profile →
Citations per field
00.5×10×15×20×24.5×
B. Shivamurthy · 1×
Citations per year

Countries citing papers authored by Jun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Lin, 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 Jun Lin Line = papers co-authored together Jun Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020141
2 201776
3 201866
4 201660
5 201857
6 202049
7 202144
8 201843
9 202040
10 201835
11 201833
12 201832
13 201931
14 202031
15 202230
16 202127
17 202127
18 202224
19 202222
20 202221

About Jun Lin

Jun Lin is a scholar working on Mechanical Engineering, Mechanics of Materials, Materials Chemistry, Civil and Structural Engineering and Biomaterials, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metallurgy and Material Forming (15 papers), Surface Treatment and Residual Stress (12 papers), Metal Forming Simulation Techniques (11 papers), Microstructure and mechanical properties (10 papers), High-Velocity Impact and Material Behavior (10 papers), Numerical methods in engineering (9 papers), Fluid Dynamics Simulations and Interactions (8 papers) and Natural Fiber Reinforced Composites (8 papers). The work is most often cited by research in Polymers and Plastics (334 citations), Mechanical Engineering (795 citations), Biomaterials (273 citations), Mechanics of Materials (465 citations) and Process Chemistry and Technology (49 citations). Jun Lin has collaborated with scholars based in China, France and Malaysia. Frequent co-authors include Yanjin Guan, Guoqun Zhao, Jiqiang Zhai, Lihua Zhu, Zhendong Xie, Guilong Wang, Liang Chen, Hakim Naceur, Yanjie Wang and Guizhen Wang. Their work appears in journals such as Polymer Composites, Journal of Materials Research and Technology, Journal of Materials Processing Technology, Thin-Walled Structures and Journal of Materials Engineering and Performance.

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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