Truc Le

2.2k citations
12 papers · 507 · 1 hit paper · h-index 8

Impact in

Papers in

Truc Le

12 papers receiving 487 citations

Truc Le's Hit Papers

PointGrid: A Deep Network for 3D Shape Understanding 2018 · 309 citations
3090+2+5Years since publication100200300

Peers

Truc Le
Comparison fields: 5 of 63
  • Geology 241
  • Computer Graphics and Computer-Aided Design 102
  • Computational Mechanics 309
  • Environmental Engineering 171
  • Computer Vision and Pattern Recognition 203
Replace Minh-Khoi Tran with:
Minh-Khoi Tran Singapore
Ji Hou China
Mutian Xu China
Zi Jian Yew Singapore
Minhyuk Sung South Korea
Mingye Xu China
Xinhan Di China
Jiadai Sun China
Tianqi Fan China
S.W. Lee South Korea
Truc Le relative to Minh-Khoi Tran Singapore Minh-Khoi Tran's profile →
Citations per field
00.5×
Minh-Khoi Tran · 1×
Citations per year

Countries citing papers authored by Truc Le

Since Specialization
Citations

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

Fields of papers citing papers by Truc Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Truc Le, 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 Truc Le Line = papers co-authored together Truc Le links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
PointGrid: A Deep Network for 3D Shape Understanding
Hit paper breakdown →
2018309
2 201773
3 201728
4 201824
5 202021
6 201620
7 20189
8 20168
9 20115
10 20114
11 20163
12 20133

About Truc Le

Truc Le is a scholar working on Computer Vision and Pattern Recognition, Geology, Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing, having authored 12 papers that have together received 507 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (5 papers), Image and Object Detection Techniques (4 papers), Indoor and Outdoor Localization Technologies (3 papers), Speech and Audio Processing (2 papers), Wireless Networks and Protocols (2 papers), Advanced Vision and Imaging (2 papers), Image Processing and 3D Reconstruction (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Geology (241 citations), Computer Graphics and Computer-Aided Design (102 citations), Computational Mechanics (309 citations), Environmental Engineering (171 citations) and Computer Vision and Pattern Recognition (203 citations). Truc Le has collaborated with scholars based in United States, Vietnam and Mexico. Frequent co-authors include Ye Duan, Giang Bui, Nam T. Nguyen, Norbert H. Maerz, Dinh-Trinh Tran, Kevin Karsch, Marco Lanzagorta, Salvador E. Venegas-Andraca and Jeffrey Uhlmann. Their work appears in journals such as Computer Aided Geometric Design, IEEE Geoscience and Remote Sensing Letters, IEEE Access, The Visual Computer and Computers & 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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