Chenlei Lv

572 citations
35 papers · 327 · h-index 9

Impact in

Papers in

Chenlei Lv

32 papers receiving 321 citations

Peers

Chenlei Lv
Comparison fields: 5 of 83
  • Geology 62
  • Computer Graphics and Computer-Aided Design 29
  • Computer Vision and Pattern Recognition 140
  • Computational Mechanics 86
  • Environmental Engineering 46
Replace Chinthaka Dinesh with:
Chinthaka Dinesh Canada
Anastasia Ioannidou Greece
Shiyi Lan China
Ruixuan Yu China
Qiguang Miao China
Tao Lu China
Lintao Zheng China
Ehsan Nezhadarya Canada
Bo Ren China
Chenlei Lv relative to Chinthaka Dinesh Canada Chinthaka Dinesh's profile →
Citations per field
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Chinthaka Dinesh · 1×
Citations per year

Countries citing papers authored by Chenlei Lv

Since Specialization
Citations

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

Fields of papers citing papers by Chenlei Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202383
2 202354
3 202335
4 202132
5 202216
6 201815
7 202113
8 201913
9 20209
10 20206
11 20226
12 20235
13 20235
14 20204
15 20184
16 20193
17 20193
18 20242
19 20202
20 20182

About Chenlei Lv

Chenlei Lv is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Geology and Geometry and Topology, having authored 35 papers that have together received 327 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (14 papers), Face and Expression Recognition (8 papers), Face recognition and analysis (8 papers), Computer Graphics and Visualization Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers), 3D Surveying and Cultural Heritage (5 papers), Advanced Vision and Imaging (5 papers) and Advanced Image Processing Techniques (3 papers). The work is most often cited by research in Geology (62 citations), Computer Graphics and Computer-Aided Design (29 citations), Computer Vision and Pattern Recognition (140 citations), Computational Mechanics (86 citations) and Environmental Engineering (46 citations). Chenlei Lv has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Weisi Lin, Baoquan Zhao, Zhongke Wu, Xingce Wang, Chang Tang, Liang Liao, Weiqing Yan, Guanghui Yue, Bingbing Zhang and Ke Sun. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition Letters, Multimedia Tools and Applications, ACM Transactions on Multimedia Computing Communications and Applications and IEEE Transactions on Visualization and Computer Graphics.

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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