Tuong Do

516 total citations
16 papers, 202 citations indexed

About

Tuong Do is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Tuong Do has authored 16 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Tuong Do's work include Advanced Image and Video Retrieval Techniques (4 papers), Human Motion and Animation (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Tuong Do is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Human Motion and Animation (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Tuong Do collaborates with scholars based in United Kingdom, Vietnam and Japan. Tuong Do's co-authors include Quang D. Tran, Erman Tjiputra, Anh Nguyen, Huy Dat Tran, Thanh-Toan Do, Huy Q. Tran, Hoang Chinh Nguyen, Huy Tran, Trần Khánh Toàn and Anh‐Tu Nguyen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and ACM Transactions on Graphics.

In The Last Decade

Tuong Do

13 papers receiving 198 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tuong Do United Kingdom 6 125 105 28 19 18 16 202
Erman Tjiputra United Kingdom 6 130 1.0× 127 1.2× 27 1.0× 20 1.1× 18 1.0× 13 225
Ayush K Tarun India 4 108 0.9× 38 0.4× 12 0.4× 13 0.7× 16 0.9× 6 178
Andrea Cossu Italy 7 128 1.0× 52 0.5× 22 0.8× 16 0.8× 10 0.6× 15 178
Congbo Ma Australia 6 105 0.8× 67 0.6× 13 0.5× 12 0.6× 18 1.0× 11 213
Marcin Gabryel Poland 5 59 0.5× 41 0.4× 12 0.4× 13 0.7× 18 1.0× 13 148
J. Jaya India 7 40 0.3× 73 0.7× 28 1.0× 9 0.5× 24 1.3× 47 187
Abdulaziz M. Alayba Saudi Arabia 10 93 0.7× 32 0.3× 50 1.8× 13 0.7× 53 2.9× 20 215
B. Uma Maheswari India 7 43 0.3× 44 0.4× 8 0.3× 11 0.6× 15 0.8× 36 146
Kimin Lee South Korea 10 115 0.9× 60 0.6× 43 1.5× 19 1.0× 18 1.0× 31 211
Chien-Chin Huang Taiwan 6 85 0.7× 82 0.8× 57 2.0× 24 1.3× 55 3.1× 8 226

Countries citing papers authored by Tuong Do

Since Specialization
Citations

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

Fields of papers citing papers by Tuong Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuong Do

This figure shows the co-authorship network connecting the top 25 collaborators of Tuong Do. A scholar is included among the top collaborators of Tuong Do 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 Tuong Do. Tuong Do is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Li, Mengyun, Baoru Huang, Tuong Do, et al.. (2025). SplineFormer: An Explainable Transformer Network for Autonomous Endovascular Navigation. 7718–7725.
2.
Do, Tuong, Baoru Huang, Jionglong Su, et al.. (2025). FedEFM: Federated Endovascular Foundation Model with Unseen Data. 1–8.
3.
4.
Do, Tuong, et al.. (2024). Style Transfer for 2D Talking Head Generation. 7500–7509. 1 indexed citations
5.
Do, Tuong, Huy Tran, Erman Tjiputra, Quang D. Tran, & Anh‐Tu Nguyen. (2024). Fine-Grained Visual Classification using Self Assessment Classifier. 597–602. 3 indexed citations
6.
Do, Tuong, et al.. (2023). Controllable Group Choreography Using Contrastive Diffusion. ACM Transactions on Graphics. 42(6). 1–14. 3 indexed citations
7.
Do, Tuong, et al.. (2023). Music-Driven Group Choreography. 8673–8682. 11 indexed citations
8.
Do, Tuong, Vuong T. Pham, Trần Khánh Toàn, et al.. (2023). Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology. 4 indexed citations
9.
Nguyen, Anh, et al.. (2022). Deep Federated Learning for Autonomous Driving. 2022 IEEE Intelligent Vehicles Symposium (IV). 1824–1830. 75 indexed citations
10.
Do, Tuong, et al.. (2022). Light-Weight Deformable Registration Using Adversarial Learning With Distilling Knowledge. IEEE Transactions on Medical Imaging. 41(6). 1443–1453. 17 indexed citations
11.
Do, Tuong, et al.. (2022). Coarse-to-Fine Reasoning for Visual Question Answering. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4557–4565. 34 indexed citations
12.
Do, Tuong, et al.. (2021). Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 1443–1448. 5 indexed citations
13.
Do, Tuong, et al.. (2019). Large-Scale Coarse-to-Fine Object Retrieval Ontology and Deep Local Multitask Learning. Computational Intelligence and Neuroscience. 2019. 1–40. 6 indexed citations
14.
Do, Tuong & Hoang Chinh Nguyen. (2019). Extraction of cordycepic acid from the fruiting body of Cordyceps militaris (L.). SHILAP Revista de lepidopterología. 100(3). 219–226. 4 indexed citations
15.
Do, Tuong, Huy Dat Tran, Thanh-Toan Do, Erman Tjiputra, & Quang D. Tran. (2019). Compact Trilinear Interaction for Visual Question Answering. 392–401. 38 indexed citations
16.

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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2026