Hieu M. Le

1.4k citations
28 papers · 950 · h-index 13

Impact in

Papers in

    • Video Surveillance and Tracking Methods 8
    • Advanced Neural Network Applications 6
    • Generative Adversarial Networks and Image Synthesis 5
    • Advanced Image and Video Retrieval Techniques 5
    • Multimodal Machine Learning Applications 3
    • Domain Adaptation and Few-Shot Learning 4
    • Anomaly Detection Techniques and Applications 3

Hieu M. Le

27 papers receiving 925 citations

Peers

Hieu M. Le
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 699
  • Acoustics and Ultrasonics 11
  • Media Technology 99
  • Artificial Intelligence 349
  • Computer Graphics and Computer-Aided Design 31
Replace Hai‐Miao Hu with:
Hai‐Miao Hu China
Qieyun Dai United States
Shunzhou Wang China
Weijian Deng Australia
Pascal Mettes Netherlands
Yun Cao China
Yijun Yan United Kingdom
Bozhi Liu China
Zhengkai Jiang China
Yufei Xu Australia
Hieu M. Le relative to Hai‐Miao Hu China Hai‐Miao Hu's profile →
Citations per field
00.5×2×3.0×
Hai‐Miao Hu · 1×
Citations per year

Countries citing papers authored by Hieu M. Le

Since Specialization
Citations

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

Fields of papers citing papers by Hieu M. Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018219
2 2019158
3 201893
4 202081
5 202274
6 201965
7 202158
8 202340
9 202338
10 201520
11 202419
12 201716
13 202114
14 202312
15 20178
16 20247
17 20175
18
Weakly Labeling the Antarctic: The Penguin Colony Case
20195
19 20215
20 20245

About Hieu M. Le

Hieu M. Le is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Signal Processing and Ecology, having authored 28 papers that have together received 950 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (6 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Marine animal studies overview (3 papers), Multimodal Machine Learning Applications (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (699 citations), Acoustics and Ultrasonics (11 citations), Media Technology (99 citations), Artificial Intelligence (349 citations) and Computer Graphics and Computer-Aided Design (31 citations). Hieu M. Le has collaborated with scholars based in United States, Switzerland and Vietnam. Frequent co-authors include Dimitris Samaras, Minh Hoai Nguyen, Viresh Ranjan, Jingyi Xu, Vu Nguyen, Tomás F. Yago Vicente, Heather J. Lynch, Jingyi Xu, Mingzhen Huang and ShahRukh Athar. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Remote Sensing in Ecology and Conservation, PLoS ONE, Lecture notes in computer science and Pilot and Feasibility Studies.

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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