Vu Phi Tran
Impact in
-
- Adaptive Control of Nonlinear Systems
- Control and Dynamics of Mobile Robots
-
- Distributed Control Multi-Agent Systems
Papers in
-
- Distributed Control Multi-Agent Systems 15
-
- Adaptive Control of Nonlinear Systems 10
- Co-authors
- Matthew Garratt (23 shared papers)Ian R. Petersen (11 shared papers)Fendy Santoso (6 shared papers)Sreenatha Gopalarao Anavatti (10 shared papers)Kathryn Kasmarik (5 shared papers)Mohamed A. Mabrok (4 shared papers)Asanka G. Perera (2 shared papers)Mohammad Ghadir Zamani (1 shared paper)
In The Last Decade
Vu Phi Tran
23 papers receiving 459 citations
Peers
Comparison fields: 5 of 48
- Control and Systems Engineering 244
- Computer Networks and Communications 203
- Computer Vision and Pattern Recognition 164
- Aerospace Engineering 155
- Condensed Matter Physics 25
Countries citing papers authored by Vu Phi Tran
This map shows the geographic impact of Vu Phi Tran'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 Vu Phi Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vu Phi Tran more than expected).
Fields of papers citing papers by Vu Phi Tran
This network shows the impact of papers produced by Vu Phi Tran. 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 Vu Phi Tran. The network helps show where Vu Phi Tran may publish in the future.
Co-authors
The 17 scholars most cited alongside Vu Phi Tran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 55 | |
| 2 | 2019 | 40 | |
| 3 | 2020 | 35 | |
| 4 | 2020 | 32 | |
| 5 | 2020 | 31 | |
| 6 | 2023 | 28 | |
| 7 | 2021 | 27 | |
| 8 | 2022 | 26 | |
| 9 | 2020 | 23 | |
| 10 | 2022 | 22 | |
| 11 | 2020 | 22 | |
| 12 | 2020 | 21 | |
| 13 | 2023 | 20 | |
| 14 | 2017 | 18 | |
| 15 | 2022 | 17 | |
| 16 | 2024 | 15 | |
| 17 | 2021 | 15 | |
| 18 | 2024 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2024 | 2 |
About Vu Phi Tran
Vu Phi Tran is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Condensed Matter Physics, having authored 25 papers that have together received 467 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (15 papers), Adaptive Control of Nonlinear Systems (10 papers), Robotic Path Planning Algorithms (9 papers), Micro and Nano Robotics (5 papers), UAV Applications and Optimization (4 papers), Biomimetic flight and propulsion mechanisms (3 papers), Advanced Chemical Sensor Technologies (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Control and Systems Engineering (244 citations), Computer Networks and Communications (203 citations), Computer Vision and Pattern Recognition (164 citations), Aerospace Engineering (155 citations) and Condensed Matter Physics (25 citations). Vu Phi Tran has collaborated with scholars based in Australia, Qatar and Kuwait. Frequent co-authors include Matthew Garratt, Ian R. Petersen, Fendy Santoso, Sreenatha Gopalarao Anavatti, Kathryn Kasmarik, Mohamed A. Mabrok, Asanka G. Perera, Mohammad Ghadir Zamani, Alex S. Leong and Sridhar Ravi. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Swarm and Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE/ASME Transactions on Mechatronics and IEEE/CAA Journal of Automatica Sinica.
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.