Le Lv

3.1k citations
47 papers · 2.3k indexed · 2 hit papers · h-index 22

Le Lv

47 papers receiving 2.3k citations

Hit Papers

Ultrahigh-Aspect-Ratio Boron Nitride Nanosheets Leading t...3062019202620212023100200300

Peers

Le Lv
Comparison fields: 5 of 121
  • Materials Chemistry 1.5k
  • Civil and Structural Engineering 412
  • Polymers and Plastics 244
  • Electronic, Optical and Magnetic Materials 256
  • Mechanical Engineering 501
Replace Matthew Ming Fai Yuen with:
Matthew Ming Fai Yuen Hong Kong
Pan Zeng China
Ran Tao China
Aijun Yin China
Shan Tang China
Tielin Shi China
Licheng Zhou China
Sandip Bhattacharya India
Chao Qian China
Le Lv relative to Matthew Ming Fai Yuen Hong Kong Matthew Ming Fai Yuen's profile →
Citations per field
00.5×
Matthew Ming Fai Yuen · 1×
Citations per year

Countries citing papers authored by Le Lv

Since Specialization
Citations

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

Fields of papers citing papers by Le Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 202412
4 202415
5 20249
6 20245
7 202345
8 20239
9 202324
10 202212
11 202275
12 202255
13 202117
14 202121
15
Ultrahigh-Aspect-Ratio Boron Nitride Nanosheets Leading to Superhigh In-Plane Thermal Conductivity of Foldable Heat Spreaderbreakdown →
2021306
16 20176
17 20161
18
[Analysis of dyslipidemia among patients with diabetes mellitus in Jilin Province communities].
20141
19
[Investigation on rates of awareness, treatment and control of diabetes mellitus and the influence factors in rural areas of Jilin province].
20142
20
HIV incidence in Asia: a review of available data and assessment of the epidemic.
201322

About Le Lv

Le Lv is a scholar working on Civil and Structural Engineering, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 2.3k indexed citations. Recurring topics across this work include Thermal properties of materials (18 papers), Thermal Radiation and Cooling Technologies (14 papers), Graphene research and applications (14 papers), Heat Transfer and Optimization (6 papers), Domain Adaptation and Few-Shot Learning (4 papers), Video Surveillance and Tracking Methods (3 papers), Advanced Neural Network Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Materials Chemistry (1.5k citations), Civil and Structural Engineering (412 citations) and Polymers and Plastics (244 citations). Le Lv has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Wen Dai, Cheng‐Te Lin, Nan Jiang, Jinhong Yu, Qingwei Yan, Dongbin Zhao, Yaran Chen, Rong Sun, Xue Tan and Jingyao Gao. Their work appears in journals such as ACS Nano, Nanomaterials, Chemical Engineering Journal, Chinese Journal of Chemistry and Information 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.

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2026