Jun Lin

1.7k citations
79 papers · 1.3k · h-index 22

Impact in

Papers in

    • Metallurgy and Material Forming 13
    • Mechanical Behavior of Composites 9
    • Numerical methods in engineering 6
    • Metal Forming Simulation Techniques 15
    • Surface Treatment and Residual Stress 10
    • Advanced Welding Techniques Analysis 8

Jun Lin

73 papers receiving 1.3k citations

Peers

Jun Lin
Comparison fields: 5 of 42
  • Polymers and Plastics 228
  • Mechanical Engineering 650
  • Mechanics of Materials 331
  • Biomaterials 73
  • Materials Chemistry 172
Replace Jie Tao with:
Jie Tao China
Kumaresh babu S P India
CHIAN FONG YEN United States
Yingchun Wang China
Ming Shyan Yong Singapore
Benjamin F. Schultz United States
Arunachalam Rajadurai India
Xiao-Lu Gong France
Selvum Brian Pillay United States
Jun Lin relative to Jie Tao China Jie Tao's profile →
Citations per field
00.5×2×3.3×
Jie Tao · 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 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201779
2 201867
3 201661
4 201860
5 202051
6 202147
7 201843
8 202042
9 201835
10 202235
11 201833
12 201933
13 201832
14 202031
15 202130
16 202429
17 202128
18 202227
19 202224
20 202223

About Jun Lin

Jun Lin is a scholar working on Mechanics of Materials, Mechanical Engineering, Polymers and Plastics, Materials Chemistry and Biomaterials, having authored 79 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metal Forming Simulation Techniques (15 papers), Metallurgy and Material Forming (13 papers), Surface Treatment and Residual Stress (10 papers), Mechanical Behavior of Composites (9 papers), Advanced Welding Techniques Analysis (8 papers), Numerical methods in engineering (6 papers), Microstructure and mechanical properties (5 papers) and Fluid Dynamics Simulations and Interactions (5 papers). The work is most often cited by research in Polymers and Plastics (228 citations), Mechanical Engineering (650 citations), Mechanics of Materials (331 citations), Biomaterials (73 citations) and Materials Chemistry (172 citations). Jun Lin has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Yanjin Guan, Jiqiang Zhai, Lihua Zhu, Guoqun Zhao, Zhendong Xie, Liang Chen, Hakim Naceur, Yanjie Wang, Guilong Wang and Daniel Coutellier. Their work appears in journals such as Polymer Composites, Journal of Materials Processing Technology, Thin-Walled Structures, Journal of Materials Research and Technology 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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