Hoang Le

941 total citations
19 papers, 466 citations indexed

About

Hoang Le is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Hoang Le has authored 19 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Hoang Le's work include Visual Attention and Saliency Detection (3 papers), Color Science and Applications (3 papers) and Advanced Vision and Imaging (3 papers). Hoang Le is often cited by papers focused on Visual Attention and Saliency Detection (3 papers), Color Science and Applications (3 papers) and Advanced Vision and Imaging (3 papers). Hoang Le collaborates with scholars based in United States, Canada and Vietnam. Hoang Le's co-authors include Feng Liu, Thanh Duc Dang, Duong Tran Anh, Ho Huu Loc, Aseem Agarwala, Shu Zhang, Yisong Yue, Peter Carr, Patrick Lucey and Yuzhen Niu and has published in prestigious journals such as Computer Graphics Forum, Journal of Hydroinformatics and CaltechAUTHORS (California Institute of Technology).

In The Last Decade

Hoang Le

19 papers receiving 447 citations

Peers

Hoang Le
Comparison fields: 5 of 90
  • Computer Vision and Pattern Recognition 197
  • Environmental Engineering 136
  • Water Science and Technology 111
  • Global and Planetary Change 100
  • Artificial Intelligence 61
Replace Xin Feng with:
Xin Feng China
Mohammad Ariful Haque Bangladesh
Yuting Xie China
Antonio J. Rueda Spain
Yunsheng Li United States
Oktay Karakuş United Kingdom
Jianzhuo Yan China
Ruidan Su China
Xiaolei Jiang China
Xin Feng China View profile →
Citations per field, relative to Hoang Le
Hoang Le · 1×
Citations per year, relative to Hoang Le
Hoang Le · 1×

Countries citing papers authored by Hoang Le

Since Specialization
Citations

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

Fields of papers citing papers by Hoang Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hoang Le

This figure shows the co-authorship network connecting the top 25 collaborators of Hoang Le. A scholar is included among the top collaborators of Hoang Le based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hoang Le. Hoang Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 1
3 51
4 4
5 159
6 1
7 88
8 2
9
DATA-DRIVEN GHOSTING USING DEEP IMITATION LEARNING
23
10 20
11 2
12 4
13 29
14 17
15 4
16 7
17 38
18 6
19 9

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026