Le Hui

960 citations
41 papers · 435 · h-index 12

Impact in

Papers in

Le Hui

36 papers receiving 426 citations

Peers

Le Hui
Comparison fields: 5 of 69
  • Geology 161
  • Computer Graphics and Computer-Aided Design 51
  • Computer Vision and Pattern Recognition 208
  • Computational Mechanics 172
  • Environmental Engineering 98
Replace Chuhang Zou with:
Chuhang Zou United States
Shuaifeng Zhi China
Lingni Ma Netherlands
Ji Hou China
Qingan Yan China
Shenman Zhang China
Thang Vu South Korea
Fabian Langguth Germany
Xinhan Di China
Le Hui relative to Chuhang Zou United States Chuhang Zou's profile →
Citations per field
00.5×5.3×
Chuhang Zou · 1×
Citations per year

Countries citing papers authored by Le Hui

Since Specialization
Citations

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

Fields of papers citing papers by Le Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202198
2 202165
3 202240
4 202122
5 202320
6 201819
7 201818
8 201418
9 202016
10 202216
11 202413
12 201912
13 20249
14 20227
15 20247
16 20106
17 20236
18 20194
19 20253
20 20233

About Le Hui

Le Hui is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Geology, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 41 papers that have together received 435 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (16 papers), 3D Surveying and Cultural Heritage (10 papers), Advanced Vision and Imaging (9 papers), Computer Graphics and Visualization Techniques (7 papers), Advanced Neural Network Applications (6 papers), Robotics and Sensor-Based Localization (5 papers), Land Use and Ecosystem Services (5 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Geology (161 citations), Computer Graphics and Computer-Aided Design (51 citations), Computer Vision and Pattern Recognition (208 citations), Computational Mechanics (172 citations) and Environmental Engineering (98 citations). Le Hui has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jin Xie, Jian Yang, Jian Yang, Yaqi Shen, Haobo Jiang, Yifan Zhao, Xiang Li, Jing Zhang, Jianfeng Lu and Zongyan Han. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Remote Sensing, International Journal of Computer Vision, Global Ecology and Conservation and Knowledge-Based Systems.

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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