Tung M. Luu

36 total papers · 640 total citations
11 papers, 202 citations indexed

About

Tung M. Luu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Tung M. Luu has authored 11 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Mechanics. Recurrent topics in Tung M. Luu's work include Reinforcement Learning in Robotics (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and 3D Shape Modeling and Analysis (3 papers). Tung M. Luu is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and 3D Shape Modeling and Analysis (3 papers). Tung M. Luu collaborates with scholars based in South Korea and Vietnam. Tung M. Luu's co-authors include Chang D. Yoo, Thang Vu, Thanh Minh Nguyen, Trung X. Pham, Junyeong Kim, Chaoning Zhang, Bac Le, Xuan Nguyen, Duc Le and Dong-Hoon Lee and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.

In The Last Decade

Tung M. Luu

9 papers receiving 199 citations

Hit Papers

SoftGroup for 3D Instance... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Tung M. Luu 98 84 70 54 31 11 202
Francis Engelmann 114 1.2× 66 0.8× 64 0.9× 44 0.8× 18 0.6× 17 198
Carlos Vallespi-Gonzalez 96 1.0× 41 0.5× 40 0.6× 41 0.8× 30 1.0× 7 194
Xin Wei 145 1.5× 148 1.8× 91 1.3× 39 0.7× 28 0.9× 8 292
Meixia Jia 56 0.6× 94 1.1× 111 1.6× 114 2.1× 29 0.9× 7 245
Amin Zheng 127 1.3× 147 1.8× 108 1.5× 88 1.6× 28 0.9× 14 263
Yizhak Ben-Shabat 96 1.0× 169 2.0× 123 1.8× 107 2.0× 18 0.6× 14 278
Enxu Li 156 1.6× 113 1.3× 70 1.0× 110 2.0× 21 0.7× 7 273
Xuemeng Yang 144 1.5× 73 0.9× 68 1.0× 42 0.8× 18 0.6× 23 242
Yu Zheng 177 1.8× 82 1.0× 68 1.0× 47 0.9× 75 2.4× 9 262
António Silva 119 1.2× 36 0.4× 40 0.6× 57 1.1× 20 0.6× 14 218

Countries citing papers authored by Tung M. Luu

Since Specialization
Citations

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

Fields of papers citing papers by Tung M. Luu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tung M. Luu

This figure shows the co-authorship network connecting the top 25 collaborators of Tung M. Luu. A scholar is included among the top collaborators of Tung M. Luu 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 Tung M. Luu. Tung M. Luu 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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