Jun Lv

33 papers receiving 285 citations

Peers

Jun Lv
Comparison fields: 5 of 98
  • Obstetrics and Gynecology 19
  • Soil Science 24
  • Epidemiology 45
  • Electronic, Optical and Magnetic Materials 21
  • Mechanical Engineering 41
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Citations per field
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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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201767
2 201834
3 202327
4 202222
5 202319
6 202317
7 202216
8 202214
9 202410
10 202210
11 20238
12
Improved Topology Discovery Algorithm for Complex Broadband Access Network
20115
13
In 2 O 3 /N-InNbO 4 複合材料におけるバンド構造の解明と光触媒活性
20095
14 20225
15
Reliability and validity of urban built environment evaluation tool for physical activity
20124
16
Effects of Distiller’s Grains Bio-organic Fertilizer and Microbial Agent on Microbial Quantities and Sorghum Yield
20134
17 20243
18 20203
19
A Complex QR Decomposition Algorithm Using Recursive Householder Transformation
20042
20
Effects of Soil Tillages on Soil Moisture in Slop Land
20032

About Jun Lv

Jun Lv is a scholar working on Materials Chemistry, Mechanical Engineering, Mathematical Physics, Applied Mathematics and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 295 indexed citations. Recurring topics across this work include High Entropy Alloys Studies (2 papers), Mathematical Analysis and Transform Methods (2 papers), Mathematical Dynamics and Fractals (2 papers), Advanced Algorithms and Applications (1 paper), Power Transformer Diagnostics and Insulation (1 paper), Electrocatalysts for Energy Conversion (1 paper), Computer Graphics and Visualization Techniques (1 paper) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Obstetrics and Gynecology (19 citations), Soil Science (24 citations), Epidemiology (45 citations), Electronic, Optical and Magnetic Materials (21 citations) and Mechanical Engineering (41 citations). Jun Lv has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guangqing Xu, Rui Tao, Baowei Hu, Jun Li, Yongchao Liang, Guixin Chu, Jun Guo Huang, Shiyu Zhang, Zhiqiang Tian and Liwen Luo. Their work appears in journals such as Journal of the American Heart Association, Materials Research Letters, Metals, ISA Transactions and European Respiratory Journal.

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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