Jun Lin

1.7k citations
72 papers · 1.3k indexed · h-index 21

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

70 papers receiving 1.2k citations

Peers

Jun Lin
Comparison fields: 5 of 62
  • Polymers and Plastics 308
  • Mechanical Engineering 740
  • Biomaterials 262
  • Mechanics of Materials 440
  • Process Chemistry and Technology 47
Replace B. Shivamurthy with:
B. Shivamurthy India
Ashish Warrier India
Tom Løgstrup Andersen Denmark
Waldek Wladimir Bose Filho Brazil
Zhongwei Zhang China
Gérard Bernhart France
J. W. Kaczmar Poland
R. Narasimha Rao India
Pyeong-Su Shin South Korea
Jun Lin relative to B. Shivamurthy India B. Shivamurthy's profile →
Citations per field
00.5×10×15×20×23.5×
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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020137
2 201773
3 201864
4 201658
5 201856
6 201841
7 202040
8 202039
9 202139
10 201834
11 201832
12 201831
13 201929
14 202126
15 202025
16 202224
17 202124
18 202222
19 202221
20 201621

About Jun Lin

Jun Lin is a scholar working on Mechanics of Materials, Mechanical Engineering, Biomaterials, Polymers and Plastics and Ecological Modeling, having authored 72 papers that have together received 1.3k 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), Numerical methods in engineering (9 papers), High-Velocity Impact and Material Behavior (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 (308 citations), Mechanical Engineering (740 citations), Biomaterials (262 citations), Mechanics of Materials (440 citations) and Process Chemistry and Technology (47 citations). Jun Lin has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Yanjin Guan, Guoqun Zhao, Lihua Zhu, Jiqiang Zhai, Zhendong Xie, Guilong Wang, Liang Chen, Hakim Naceur, Yanjie Wang and Chul B. Park. Their work appears in journals such as Polymer Composites, Journal of Materials Research and Technology, Journal of Materials Processing Technology, The International Journal of Advanced Manufacturing 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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