Dat Huynh

720 citations
25 papers · 444 · h-index 8

Impact in

    • Multimodal Machine Learning Applications
    • Advanced Image and Video Retrieval Techniques
    • Advanced Neural Network Applications
    • Human Pose and Action Recognition
    • Domain Adaptation and Few-Shot Learning
    • Text and Document Classification Technologies

Papers in

Dat Huynh

22 papers receiving 429 citations

Peers

Dat Huynh
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 251
  • Artificial Intelligence 328
  • Radiology, Nuclear Medicine and Imaging 69
  • Geology 14
  • Industrial and Manufacturing Engineering 21
Replace Aming Wu with:
Aming Wu China
Baigui Sun China
Shuhao Cui China
Norman Mu United States
Elyor Kodirov United Kingdom
Yabin Zhang China
Haoyue Bai China
Saurav Kadavath United States
Qi Cai China
Dat Huynh relative to Aming Wu China Aming Wu's profile →
Citations per field
00.5×1.5×
Aming Wu · 1×
Citations per year

Countries citing papers authored by Dat Huynh

Since Specialization
Citations

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

Fields of papers citing papers by Dat Huynh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020162
2 202063
3 202251
4 202047
5
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition
202028
6 202020
7 202014
8
Information extraction from microblogs: a survey
20129
9
A new term ranking method based on relation extraction and graph model for text classification
20117
10 20146
11 20216
12 20095
13
Semantic Similarity Measure Using Relational and Latent Topic Features.
20144
14 20244
15 20184
16 20233
17 20233
18 20232
19 20232
20
Approximate knowledge graph retrieval: Measures and realization.
20062

About Dat Huynh

Dat Huynh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering, having authored 25 papers that have together received 444 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (6 papers), Advanced Text Analysis Techniques (5 papers), COVID-19 diagnosis using AI (3 papers), Text and Document Classification Technologies (3 papers), Topic Modeling (3 papers), Web Data Mining and Analysis (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (251 citations), Artificial Intelligence (328 citations), Radiology, Nuclear Medicine and Imaging (69 citations), Geology (14 citations) and Industrial and Manufacturing Engineering (21 citations). Dat Huynh has collaborated with scholars based in United States, Mexico and Vietnam. Frequent co-authors include Ehsan Elhamifar, Jiuxiang Gu, Jason Kuen, Zhe Lin, Samad Jafar‐Zanjani, Wanli Ma, Dat Tran, Hossein Mosallaei, Mohammad Mahdi Salary and Oliver Laeyendecker. Their work appears in journals such as Neuromodulation Technology at the Neural Interface, Tetrahedron Letters, Advanced Theory and Simulations, Biometrics and Processes.

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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