Jun Yan

4.2k citations
198 papers · 3.2k · h-index 27

Impact in

Papers in

Jun Yan

186 papers receiving 3.1k citations

Peers

Jun Yan
Comparison fields: 5 of 117
  • Civil and Structural Engineering 1.7k
  • Mechanics of Materials 1.6k
  • Computational Theory and Mathematics 509
  • Ocean Engineering 420
  • Metals and Alloys 59
Replace Z. Mróz with:
Z. Mróz Poland
Kaspar Willam United States
Zhiye Zhao Singapore
Vinh Phu Nguyen Australia
Long-yuan Li United Kingdom
Sergio Oller Spain
Jamshid Ghaboussi United States
Herbert A. Mang Austria
Y.T. Feng United Kingdom
Bernardino Chiaia Italy
Jun Yan relative to Z. Mróz Poland Z. Mróz's profile →
Citations per field
00.5×5.5×
Z. Mróz · 1×
Citations per year

Countries citing papers authored by Jun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 198 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008288
2 2012187
3 2008181
4 2018149
5 2014104
6 2016101
7 200987
8 202073
9 202067
10 201464
11 202062
12 200859
13 202249
14 201248
15 200645
16 201944
17 201043
18 202342
19 201540
20 202138

About Jun Yan

Jun Yan is a scholar working on Mechanics of Materials, Civil and Structural Engineering, Mechanical Engineering, Control and Systems Engineering and Ocean Engineering, having authored 198 papers that have together received 3.2k indexed citations. Recurring topics across this work include Topology Optimization in Engineering (43 papers), Mechanical stress and fatigue analysis (41 papers), Composite Structure Analysis and Optimization (33 papers), Vibration and Dynamic Analysis (22 papers), Composite Material Mechanics (17 papers), Wave and Wind Energy Systems (15 papers), Engineering Structural Analysis Methods (11 papers) and Structural Health Monitoring Techniques (10 papers). The work is most often cited by research in Civil and Structural Engineering (1.7k citations), Mechanics of Materials (1.6k citations), Computational Theory and Mathematics (509 citations), Ocean Engineering (420 citations) and Metals and Alloys (59 citations). Jun Yan has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Gengdong Cheng, Ling Liu, Zunyi Duan, Bin Niu, Dongsheng Qiao, Jiadong Deng, Xu Guo, Qianjin Yue, Qingzhen Lu and Dezhi Ning. Their work appears in journals such as Ocean Engineering, Structural and Multidisciplinary Optimization, Marine Structures, China Ocean Engineering and Journal of Offshore Mechanics and Arctic Engineering.

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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