Tiep H. Vu

18 total papers · 2.0k total citations
7 papers, 380 citations indexed

About

Tiep H. Vu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Ocean Engineering. According to data from OpenAlex, Tiep H. Vu has authored 7 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 2 papers in Ocean Engineering. Recurrent topics in Tiep H. Vu's work include Sparse and Compressive Sensing Techniques (3 papers), AI in cancer detection (2 papers) and Image Retrieval and Classification Techniques (2 papers). Tiep H. Vu is often cited by papers focused on Sparse and Compressive Sensing Techniques (3 papers), AI in cancer detection (2 papers) and Image Retrieval and Classification Techniques (2 papers). Tiep H. Vu collaborates with scholars based in United States. Tiep H. Vu's co-authors include Vishal Monga, Hojjat Seyed Mousavi, Tiantong Guo, Ganesh Rao, Arvind Rao, Calvin Le, Harrison X. Bai, Chang Su and Lam Nguyen and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Aerospace and Electronic Systems and Cancer Informatics.

In The Last Decade

Tiep H. Vu

7 papers receiving 373 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tiep H. Vu 274 135 125 80 34 7 380
Amos Sironi 282 1.0× 92 0.7× 45 0.4× 73 0.9× 21 0.6× 11 429
Daniel E. Worrall 215 0.8× 125 0.9× 34 0.3× 62 0.8× 15 0.4× 7 393
Hatice Çınar Akakın 238 0.9× 107 0.8× 42 0.3× 55 0.7× 25 0.7× 11 412
Nasim Souly 289 1.1× 130 1.0× 56 0.4× 50 0.6× 15 0.4× 4 387
Saad Rizvi 142 0.5× 82 0.6× 98 0.8× 78 1.0× 65 1.9× 20 431
I.A. Esquef 296 1.1× 76 0.6× 147 1.2× 28 0.3× 19 0.6× 9 412
Fazhi He 257 0.9× 90 0.7× 59 0.5× 31 0.4× 21 0.6× 10 384
Cláudio Rosito Jung 273 1.0× 79 0.6× 90 0.7× 27 0.3× 18 0.5× 14 361
Menghua Zheng 297 1.1× 63 0.5× 154 1.2× 18 0.2× 39 1.1× 8 425
Jin Yuan 155 0.6× 114 0.8× 49 0.4× 24 0.3× 41 1.2× 10 361

Countries citing papers authored by Tiep H. Vu

Since Specialization
Citations

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

Fields of papers citing papers by Tiep H. Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tiep H. Vu. 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 Tiep H. Vu. The network helps show where Tiep H. Vu may publish in the future.

Co-authorship network of co-authors of Tiep H. Vu

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

All Works

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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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