Vu Phi Tran

567 total citations
24 papers, 414 citations indexed

About

Vu Phi Tran is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Vu Phi Tran has authored 24 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 12 papers in Control and Systems Engineering and 11 papers in Aerospace Engineering. Recurrent topics in Vu Phi Tran's work include Distributed Control Multi-Agent Systems (15 papers), Adaptive Control of Nonlinear Systems (10 papers) and Robotic Path Planning Algorithms (9 papers). Vu Phi Tran is often cited by papers focused on Distributed Control Multi-Agent Systems (15 papers), Adaptive Control of Nonlinear Systems (10 papers) and Robotic Path Planning Algorithms (9 papers). Vu Phi Tran collaborates with scholars based in Australia, Kuwait and Qatar. Vu Phi Tran's co-authors include Matthew Garratt, Ian R. Petersen, Fendy Santoso, Sreenatha G. Anavatti, Kathryn Kasmarik, Mohamed A. Mabrok, Asanka G. Perera, Alex S. Leong, Mohammad Zamani and H. R. Pota and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Vu Phi Tran

23 papers receiving 406 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vu Phi Tran Australia	15	231	192	148	147	42	24	414
Eduardo S. Espinoza Mexico	12	338 1.5×	193 1.0×	139 0.9×	212 1.4×	35 0.8×	60	515
Angela Schöllig Switzerland	9	371 1.6×	101 0.5×	251 1.7×	312 2.1×	76 1.8×	10	611
Yancy Diaz-Mercado United States	9	85 0.4×	260 1.4×	123 0.8×	115 0.8×	77 1.8×	48	451
Hamid Teimoori Australia	11	313 1.4×	256 1.3×	361 2.4×	279 1.9×	65 1.5×	25	605
E. G. Hernández-Martínez Mexico	12	238 1.0×	237 1.2×	80 0.5×	68 0.5×	76 1.8×	63	496
Miguel Aranda Spain	11	153 0.7×	226 1.2×	157 1.1×	130 0.9×	68 1.6×	36	376
Filiberto Muñoz Mexico	13	397 1.7×	172 0.9×	108 0.7×	184 1.3×	29 0.7×	38	526
F. Belkhouche United States	12	194 0.8×	139 0.7×	332 2.2×	229 1.6×	39 0.9×	48	491
Silvia Mastellone United States	12	407 1.8×	372 1.9×	189 1.3×	86 0.6×	86 2.0×	32	695
Qinan Luo China	9	112 0.5×	207 1.1×	176 1.2×	247 1.7×	18 0.4×	15	469

Countries citing papers authored by Vu Phi Tran

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Vu Phi Tran

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

All Works

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20 of 20 papers shown

Tran, Vu Phi, et al.. (2025). Real-time cooperative target tracking in cluttered environments using multiple drone swarms with adaptive fuzzy emotional learning. Engineering Applications of Artificial Intelligence. 161. 112125–112125. 1 indexed citations

Boiko, Igor, et al.. (2025). Reinforcement learning for end-to-end UAV slung-load navigation and obstacle avoidance. Scientific Reports. 15(1). 34621–34621.

Tran, Vu Phi, et al.. (2024). Resilient Flight Control for a 32g Nano Helicopter. IEEE Transactions on Industrial Electronics. 71(12). 16057–16067. 6 indexed citations

Tran, Vu Phi, Asanka G. Perera, Matthew Garratt, Kathryn Kasmarik, & Sreenatha G. Anavatti. (2024). Active Sensing Strategy: Multi‐Modal, Multi‐Robot Source Localization and Mapping in Real‐World Settings With Fixed One‐Way Switching. Journal of Field Robotics. 42(4). 1166–1190. 2 indexed citations

Tran, Vu Phi, Mohamed A. Mabrok, Sreenatha G. Anavatti, Matthew Garratt, & Ian R. Petersen. (2024). Robust Adaptive Fuzzy Control for Second-Order Euler–Lagrange Systems With Uncertainties and Disturbances via Nonlinear Negative-Imaginary Systems Theory. IEEE Transactions on Cybernetics. 54(9). 5102–5114. 11 indexed citations

Tran, Vu Phi, Matthew Garratt, Sreenatha G. Anavatti, & Sridhar Ravi. (2024). Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments. Swarm and Evolutionary Computation. 89. 101615–101615. 4 indexed citations

Tran, Vu Phi, Asanka G. Perera, Matthew Garratt, Kathryn Kasmarik, & Sreenatha G. Anavatti. (2023). Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles. IEEE Transactions on Intelligent Transportation Systems. 24(11). 12506–12522. 14 indexed citations

Tran, Vu Phi, Mohamed A. Mabrok, Sreenatha G. Anavatti, Matthew Garratt, & Ian R. Petersen. (2022). Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems. IEEE Transactions on Cybernetics. 53(8). 5108–5120. 17 indexed citations

Mabrok, Mohamed A., Vu Phi Tran, Ian R. Petersen, & Matthew Garratt. (2022). Robust adaptive learning control for different classes of dissipative vehicle systems. Qatar University QSpace (Qatar University). 1 indexed citations

10.

Nguyen, Binh-Minh, Shinji Hara, & Vu Phi Tran. (2022). A Multi-Agent Approach to Landing Speed Control with Angular Rate Stabilization for Multirotors. 11. 1–6. 1 indexed citations

11.

Tran, Vu Phi, Mohamed A. Mabrok, Matthew Garratt, & Ian R. Petersen. (2021). Hybrid adaptive negative imaginary- neural-fuzzy control with model identification for a quadrotor. ANU Open Research (Australian National University). 16. 100156–100156. 15 indexed citations

12.

Tran, Vu Phi, Fendy Santoso, & Matthew Garratt. (2021). Adaptive Trajectory Tracking for Quadrotor Systems in Unknown Wind Environments Using Particle Swarm Optimization-Based Strictly Negative Imaginary Controllers. IEEE Transactions on Aerospace and Electronic Systems. 57(3). 1742–1752. 27 indexed citations

13.

Tran, Vu Phi, et al.. (2020). Neural Network-Based Self-Learning of an Adaptive Strictly Negative Imaginary Tracking Controller for a Quadrotor Transporting a Cable-Suspended Payload With Minimum Swing. IEEE Transactions on Industrial Electronics. 68(10). 10258–10268. 31 indexed citations

14.

Tran, Vu Phi, Fendy Santoso, Matthew Garratt, & Ian R. Petersen. (2020). Fuzzy Self-Tuning of Strictly Negative-Imaginary Controllers for Trajectory Tracking of a Quadcopter Unmanned Aerial Vehicle. IEEE Transactions on Industrial Electronics. 68(6). 5036–5045. 20 indexed citations

15.

Tran, Vu Phi, Fendy Santoso, Matthew Garratt, & Ian R. Petersen. (2020). Distributed Formation Control Using Fuzzy Self-Tuning of Strictly Negative Imaginary Consensus Controllers in Aerial Robotics. IEEE/ASME Transactions on Mechatronics. 26(5). 2306–2315. 31 indexed citations

16.

Tran, Vu Phi, Matthew Garratt, & Ian R. Petersen. (2020). Multi-vehicle formation control and obstacle avoidance using negative-imaginary systems theory. ANU Open Research (Australian National University). 15. 100117–100117. 20 indexed citations

17.

Tran, Vu Phi, Fendy Santoso, Matthew Garratt, & Sreenatha G. Anavatti. (2020). Distributed Artificial Neural Networks-Based Adaptive Strictly Negative Imaginary Formation Controllers for Unmanned Aerial Vehicles in Time-Varying Environments. IEEE Transactions on Industrial Informatics. 17(6). 3910–3919. 27 indexed citations

18.

Tran, Vu Phi, Matthew Garratt, & Ian R. Petersen. (2020). Switching formation strategy with the directed dynamic topology for collision avoidance of a multi‐robot system in uncertain environments. IET Control Theory and Applications. 14(18). 2948–2959. 22 indexed citations

19.

Tran, Vu Phi, Fendy Santoso, Matthew Garratt, & Ian R. Petersen. (2019). Adaptive Second-Order Strictly Negative Imaginary Controllers Based on the Interval Type-2 Fuzzy Self-Tuning Systems for a Hovering Quadrotor With Uncertainties. IEEE/ASME Transactions on Mechatronics. 25(1). 11–20. 38 indexed citations

20.

Tran, Vu Phi, Matthew Garratt, & Ian R. Petersen. (2017). Formation control of multi-UAVs using negative-imaginary systems theory. 2031–2036. 16 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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