Jun Lv

1.3k citations
72 papers · 1.0k · h-index 17

Impact in

    • Numerical methods in engineering
    • Composite Structure Analysis and Optimization
    • Composite Material Mechanics
    • Advanced Numerical Methods in Computational Mathematics

Papers in

Jun Lv

65 papers receiving 1.0k citations

Peers

Jun Lv
Comparison fields: 5 of 80
  • Mechanics of Materials 435
  • Computational Mechanics 234
  • Civil and Structural Engineering 159
  • Renewable Energy, Sustainability and the Environment 109
  • Electrical and Electronic Engineering 342
Replace Qing Xia with:
Qing Xia China
Yongsik Kim South Korea
Wenliang Chen China
Guojun Zheng China
Chanwook Park South Korea
Yuanbin Wang China
Maoqing Li China
Yasser Elmasry Saudi Arabia
Yiwei Dong China
Li Wen Fu China
Jun Lv relative to Qing Xia China Qing Xia's profile →
Citations per field
00.5×5×10×14.4×
Qing Xia · 1×
Citations per year

Countries citing papers authored by Jun Lv

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Lv, 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 Lv Line = papers co-authored together Jun Lv 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 2016115
2 202167
3 201764
4 201958
5 201755
6 201149
7 201838
8 202031
9 201931
10 201328
11 201825
12 201524
13 201823
14 202321
15 201220
16 201318
17 201617
18 201917
19 202116
20 201816

About Jun Lv

Jun Lv is a scholar working on Mechanics of Materials, Civil and Structural Engineering, Computational Mechanics, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 72 papers that have together received 1.0k indexed citations. Recurring topics across this work include Numerical methods in engineering (23 papers), Composite Structure Analysis and Optimization (13 papers), Composite Material Mechanics (10 papers), Advanced Numerical Methods in Computational Mathematics (10 papers), Advanced Mathematical Modeling in Engineering (9 papers), Silicon and Solar Cell Technologies (9 papers), Electromagnetic Simulation and Numerical Methods (6 papers) and Advanced Materials and Mechanics (6 papers). The work is most often cited by research in Mechanics of Materials (435 citations), Computational Mechanics (234 citations), Civil and Structural Engineering (159 citations), Renewable Energy, Sustainability and the Environment (109 citations) and Electrical and Electronic Engineering (342 citations). Jun Lv has collaborated with scholars based in China, Australia and Finland. Frequent co-authors include Xiao‐Wei Gao, Miao Cui, Hai‐Feng Peng, Bing‐Bing Xu, Kai Yang, H. W. Zhang, Jingkai Wu, Bo Ruan, Hele I. Savin and Serhat Yuksel. Their work appears in journals such as Engineering Analysis with Boundary Elements, International Journal for Numerical Methods in Engineering, Journal of Intelligent Material Systems and Structures, Solar Energy and Composite Structures.

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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