Tien Do

1.0k citations
22 papers · 243 · h-index 6

Impact in

Papers in

    • Advanced Image and Video Retrieval Techniques 5
    • Advanced Neural Network Applications 4
    • Handwritten Text Recognition Techniques 3
    • Advanced Vision and Imaging 3
    • Video Surveillance and Tracking Methods 3
    • Image Processing and 3D Reconstruction 3
    • Robotics and Sensor-Based Localization 4

Tien Do

16 papers receiving 236 citations

Peers

Tien Do
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 128
  • Industrial and Manufacturing Engineering 25
  • Human-Computer Interaction 13
  • Media Technology 19
  • Aerospace Engineering 39
Replace Eui-Young Cha with:
Eui-Young Cha South Korea
Pavan Kumar Anasosalu Vasu United States
Lu Leng China
Zhiwen Cao China
Xin Yuan China
Jie Lei China
Dae-Seong Kang South Korea
Zhize Wu China
Shoukun Xu China
Nicola Mosca Italy
Tien Do relative to Eui-Young Cha South Korea Eui-Young Cha's profile →
Citations per field
00.5×2.8×
Eui-Young Cha · 1×
Citations per year

Countries citing papers authored by Tien Do

Since Specialization
Citations

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

Fields of papers citing papers by Tien Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Tien Do, 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 Tien Do Line = papers co-authored together Tien Do links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020158
2 201819
3 201818
4 202110
5 20248
6 20167
7 20244
8 20164
9 20224
10 20213
11
NII-UIT at MediaEval 2016 Predicting Media Interestingness Task.
20162
12 20142
13 20231
14 20211
15 20161
16 20241
17 20250
18 20250
19 20250
20 20200

About Tien Do

Tien Do is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Media Technology and Human-Computer Interaction, having authored 22 papers that have together received 243 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (4 papers), Robotics and Sensor-Based Localization (4 papers), Handwritten Text Recognition Techniques (3 papers), Advanced Vision and Imaging (3 papers), Video Surveillance and Tracking Methods (3 papers), Image Processing and 3D Reconstruction (3 papers) and Vehicle License Plate Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (128 citations), Industrial and Manufacturing Engineering (25 citations), Human-Computer Interaction (13 citations), Media Technology (19 citations) and Aerospace Engineering (39 citations). Tien Do has collaborated with scholars based in Vietnam, United States and Japan. Frequent co-authors include Duy-Dinh Le, Thanh Duc Ngo, Stergios I. Roumeliotis, Gary Hsieh, Duc Anh Duong, Hyun Soo Park, Sudipta N. Sinha, Shin’ichi Satoh, Khiem Le and Hung T. Le. Their work appears in journals such as IEEE Access, The International Journal of Robotics Research, Journal of Electrical and Computer Engineering, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and MediaEval.

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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