Jun Wen

1.3k citations
66 papers · 963 · h-index 16

Impact in

Papers in

Jun Wen

60 papers receiving 939 citations

Peers

Jun Wen
Comparison fields: 5 of 71
  • Surfaces, Coatings and Films 267
  • Computational Mechanics 296
  • Mechanical Engineering 360
  • Mechanics of Materials 170
  • Biomedical Engineering 297
Replace Kai Jiang with:
Kai Jiang China
Qiusheng Liu China
Fan Zhu China
Samuel W. J. Welch United States
Qi Xu China
Chunfeng Zhou Canada
M. Savage United States
Liang Zou China
Changhao Chen China
Jun Wen relative to Kai Jiang China Kai Jiang's profile →
Citations per field
00.5×9.9×
Kai Jiang · 1×
Citations per year

Countries citing papers authored by Jun Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017176
2 201695
3 202360
4 202152
5 202245
6 202240
7 202239
8 202333
9 202326
10 201826
11 200924
12 202123
13 202423
14 202221
15 202118
16 202317
17 202015
18 199914
19 201914
20 202313

About Jun Wen

Jun Wen is a scholar working on Mechanical Engineering, Computational Mechanics, Electrical and Electronic Engineering, Biomedical Engineering and Surfaces, Coatings and Films, having authored 66 papers that have together received 963 indexed citations. Recurring topics across this work include Surface Modification and Superhydrophobicity (16 papers), Advanced Surface Polishing Techniques (14 papers), Advanced machining processes and optimization (13 papers), Fluid Dynamics and Heat Transfer (9 papers), Rheology and Fluid Dynamics Studies (8 papers), Fluid Dynamics and Turbulent Flows (7 papers), Advanced Machining and Optimization Techniques (7 papers) and Tribology and Lubrication Engineering (7 papers). The work is most often cited by research in Surfaces, Coatings and Films (267 citations), Computational Mechanics (296 citations), Mechanical Engineering (360 citations), Mechanics of Materials (170 citations) and Biomedical Engineering (297 citations). Jun Wen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Haibao Hu, Jinyuan Tang, Weihua Zhou, Luyao Bao, Daniele Dini, Dong Song, Wen Shao, Weiwei Huang, Zhaozhu Zhang and Kehui Sun. Their work appears in journals such as Physics of Fluids, Tribology International, The International Journal of Advanced Manufacturing Technology, Journal of Hydrodynamics and International Journal of Mechanical Sciences.

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.

Explore authors with similar magnitude of impact