Duong-Van Nguyen
- Computer Vision and Pattern Recognition top 5%
- Environmental Engineering top 10%
- Automotive Engineering top 10%
- Aerospace Engineering
- Artificial Intelligence
- Co-authors
- Saeid SedighiKlaus-Dieter KuhnertΚωνσταντίνος ΜουστάκαςAris S. LalosCiarán HughesJonathan HorganL. KuhnertJo Schlemper
- Topics
- Remote Sensing and LiDAR Applications (8 papers)Robotics and Sensor-Based Localization (6 papers)Remote Sensing in Agriculture (5 papers)
In The Last Decade
Duong-Van Nguyen
22 papers receiving 281 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 174
- Environmental Engineering 72
- Automotive Engineering 66
- Aerospace Engineering 65
- Artificial Intelligence 41
Countries citing papers authored by Duong-Van Nguyen
This map shows the geographic impact of Duong-Van Nguyen'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 Duong-Van Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duong-Van Nguyen more than expected).
Fields of papers citing papers by Duong-Van Nguyen
This network shows the impact of papers produced by Duong-Van Nguyen. 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 Duong-Van Nguyen. The network helps show where Duong-Van Nguyen may publish in the future.
Co-authorship network of co-authors of Duong-Van Nguyen
This figure shows the co-authorship network connecting the top 25 collaborators of Duong-Van Nguyen. A scholar is included among the top collaborators of Duong-Van Nguyen 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 Duong-Van Nguyen. Duong-Van Nguyen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 35 | |
| 4 | 12 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 87 | |
| 10 | 11 | |
| 11 | Vegetation detection and terrain classification for autonomous navigation | 3 |
| 12 | 17 | |
| 13 | 18 | |
| 14 | 2 | |
| 15 | 21 | |
| 16 | 20 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 5 | |
| 20 | 7 |
About Duong-Van Nguyen
Duong-Van Nguyen is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Automotive Engineering, having authored 24 papers that have together received 294 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (8 papers), Robotics and Sensor-Based Localization (6 papers) and Remote Sensing in Agriculture (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (174 citations), Automotive Engineering (66 citations) and Environmental Engineering (72 citations). Duong-Van Nguyen has collaborated with scholars based in Germany, Vietnam and Greece. Frequent co-authors include Saeid Sedighi, Klaus-Dieter Kuhnert, Κωνσταντίνος Μουστάκας, Aris S. Lalos, Ciarán Hughes, Jonathan Horgan, L. Kuhnert, Jo Schlemper, Christos Anagnostopoulos and Steven Q. H. Truong. Their work appears in journals such as Robotics and Autonomous Systems, SoftwareX and International Journal of Robotics and Automation.
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.