Trung-Dung Vu

532 total citations
5 papers, 238 citations indexed

About

Trung-Dung Vu is a scholar working on Aerospace Engineering, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Trung-Dung Vu has authored 5 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Aerospace Engineering, 3 papers in Artificial Intelligence and 2 papers in Automotive Engineering. Recurrent topics in Trung-Dung Vu's work include Robotics and Sensor-Based Localization (4 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). Trung-Dung Vu is often cited by papers focused on Robotics and Sensor-Based Localization (4 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). Trung-Dung Vu collaborates with scholars based in France, Sweden and Germany. Trung-Dung Vu's co-authors include Olivier Aycard, Nils Appenrodt, R. Omar Chavéz-García, Fawzi Nashashibi, Sergiu Nedevschi and Michel Parent and has published in prestigious journals such as Information Fusion and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Trung-Dung Vu

5 papers receiving 222 citations

Peers

Trung-Dung Vu
Arne Suppé United States
Trung-Dung Vu
Citations per year, relative to Trung-Dung Vu Trung-Dung Vu (= 1×) peers Arne Suppé

Countries citing papers authored by Trung-Dung Vu

Since Specialization
Citations

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

Fields of papers citing papers by Trung-Dung Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trung-Dung 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 Trung-Dung Vu. The network helps show where Trung-Dung Vu may publish in the future.

Co-authorship network of co-authors of Trung-Dung Vu

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

All Works

5 of 5 papers shown
1.
Chavéz-García, R. Omar, et al.. (2012). Frontal object perception using radar and mono-vision. HAL (Le Centre pour la Communication Scientifique Directe). 159–164. 38 indexed citations
2.
Aycard, Olivier, et al.. (2011). Intersection safety using lidar and stereo vision sensors. 35 indexed citations
3.
Vu, Trung-Dung, et al.. (2010). Grid-based localization and local mapping with moving object detection and tracking. Information Fusion. 12(1). 58–69. 63 indexed citations
4.
Aycard, Olivier, et al.. (2008). High level sensor data fusion for automotive applications using occupancy grids. 530–535. 8 indexed citations
5.
Vu, Trung-Dung, Olivier Aycard, & Nils Appenrodt. (2007). Online Localization and Mapping with Moving Object Tracking in Dynamic Outdoor Environments. 190–195. 94 indexed citations

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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