Tri Nhu

1.6k total citations
66 papers, 1.2k citations indexed

About

Tri Nhu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Tri Nhu has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Electrical and Electronic Engineering, 25 papers in Computer Networks and Communications and 9 papers in Aerospace Engineering. Recurrent topics in Tri Nhu's work include Advanced Wireless Communication Technologies (23 papers), Wireless Communication Security Techniques (20 papers) and Energy Harvesting in Wireless Networks (18 papers). Tri Nhu is often cited by papers focused on Advanced Wireless Communication Technologies (23 papers), Wireless Communication Security Techniques (20 papers) and Energy Harvesting in Wireless Networks (18 papers). Tri Nhu collaborates with scholars based in South Korea, Canada and United States. Tri Nhu's co-authors include Beongku An, Daniel Benevides da Costa, Trung Q. Duong, Georges Kaddoum, Vo Nguyen Quoc Bao, Zygmunt J. Haas, Thanh Luan Nguyen, Toan-Van Nguyen, Kyusung Shim and F. Merrikh Bayat and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Communications.

In The Last Decade

Tri Nhu

61 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tri Nhu South Korea 18 1.1k 297 193 91 61 66 1.2k
Koichi Adachi Japan 13 450 0.4× 233 0.8× 64 0.3× 25 0.3× 53 0.9× 103 700
Ji-Woong Choi South Korea 11 616 0.6× 98 0.3× 400 2.1× 61 0.7× 45 0.7× 25 763
Wenqian Shen China 16 977 0.9× 196 0.7× 330 1.7× 34 0.4× 53 0.9× 38 1.1k
Li Wei China 12 976 0.9× 163 0.5× 539 2.8× 61 0.7× 14 0.2× 57 1.2k
Jianping Zheng China 15 613 0.6× 232 0.8× 167 0.9× 124 1.4× 36 0.6× 84 769
Kyutae Lim United States 21 1.1k 1.0× 168 0.6× 452 2.3× 12 0.1× 60 1.0× 57 1.2k
J. Salter United States 5 467 0.4× 134 0.5× 65 0.3× 17 0.2× 23 0.4× 6 626
Lutao Liu China 14 196 0.2× 17 0.1× 243 1.3× 213 2.3× 64 1.0× 69 597
M. Gottardi Italy 15 740 0.7× 99 0.3× 161 0.8× 27 0.3× 44 0.7× 107 902

Countries citing papers authored by Tri Nhu

Since Specialization
Citations

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

Fields of papers citing papers by Tri Nhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tri Nhu. 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 Tri Nhu. The network helps show where Tri Nhu may publish in the future.

Co-authorship network of co-authors of Tri Nhu

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

All Works

20 of 20 papers shown
1.
Nhu, Tri, et al.. (2025). Generative AI-Empowered Resilient Adaptive ISAC Against Adversarial Machine Learning Attacks. IEEE Transactions on Vehicular Technology. 74(12). 18984–19000.
2.
Kaddoum, Georges, et al.. (2025). Ground-to-AAV and RIS-Assisted AAV-to-Ground Communication Under Channel Aging: Statistical Characterization and Outage Performance. IEEE Transactions on Communications. 73(9). 8062–8079. 3 indexed citations
3.
Nhu, Tri, et al.. (2024). Federated Learning-Enabled Jamming Detection for Stochastic Terrestrial and Non-Terrestrial Networks. IEEE Transactions on Green Communications and Networking. 9(1). 271–290. 6 indexed citations
4.
Chien, Trinh Van, et al.. (2024). Fast Beam Placement for Ultra-Dense LEO Networks. IEEE Wireless Communications Letters. 14(3). 621–625.
6.
Kaddoum, Georges, et al.. (2024). Integrated Sensing and Communications Using Generative AI: Countering Adversarial Machine Learning Attacks. Espace ÉTS (ETS). 2895–2900. 1 indexed citations
7.
Nhu, Tri, et al.. (2024). Joint Power and User Allocation in Coexistence of eMBB and URLLC Services. IEEE Communications Letters. 28(9). 2186–2190. 1 indexed citations
8.
Nhu, Tri & Georges Kaddoum. (2023). Distributed Machine Learning for Terrestrial and Non-Terrestrial Internet of Things Networks. IEEE Internet of Things Magazine. 6(4). 54–61. 4 indexed citations
9.
Kaddoum, Georges, et al.. (2023). Channel Characterization of UAV-RIS-Aided Systems With Adaptive Phase-Shift Configuration. IEEE Wireless Communications Letters. 12(12). 2058–2062. 2 indexed citations
10.
Kaddoum, Georges, et al.. (2022). Federated Learning-Based Jamming Detection for Distributed Tactical Wireless Networks. Espace ÉTS (ETS). 629–634. 3 indexed citations
11.
Nguyen, Thanh Luan, Tri Nhu, & Georges Kaddoum. (2022). Performance Analysis of Multi-User NOMA Wireless-Powered mMTC Networks: A Stochastic Geometry Approach. IEEE Transactions on Communications. 70(11). 7400–7417. 3 indexed citations
12.
Nhu, Tri, Georges Kaddoum, Thanh Luan Nguyen, Daniel Benevides da Costa, & Zygmunt J. Haas. (2021). Multi-RIS-Aided Wireless Systems: Statistical Characterization and Performance Analysis. IEEE Transactions on Communications. 69(12). 8641–8658. 164 indexed citations
13.
Nguyen, Toan-Van, Van‐Dinh Nguyen, Tri Nhu, Daniel Benevides da Costa, & Beongku An. (2019). Spectral Efficiency Maximization for Multiuser MISO-NOMA Downlink Systems with SWIPT. PolyPublie (École Polytechnique de Montréal). 1–6. 2 indexed citations
14.
Shim, Kyusung, Tri Nhu, & Beongku An. (2018). Improving Physical Layer Security of NOMA Networks by Using Opportunistic Scheduling. PolyPublie (École Polytechnique de Montréal). 3 indexed citations
15.
Shim, Kyusung, Tri Nhu, & Beongku An. (2018). A physical layer security-based routing protocol in mobile ad-hoc wireless networks. 2018 20th International Conference on Advanced Communication Technology (ICACT). 417–422. 1 indexed citations
16.
Nhu, Tri, Daniel Benevides da Costa, Trung Q. Duong, Vo Nguyen Quoc Bao, & Beongku An. (2017). Opportunistic scheduling for fixed-gain amplify-and-forward-based multiuser multirelay SWIPT cooperative networks. PolyPublie (École Polytechnique de Montréal). 49–54. 1 indexed citations
17.
Martinie, S., et al.. (2015). SPICE modeling of 55 nm embedded SuperFlash® technology 2T memory cells. 24–28. 2 indexed citations
18.
Nhu, Tri, Vo Nguyen Quoc Bao, & Beongku An. (2015). A relay selection protocol for wireless energy harvesting relay networks. PolyPublie (École Polytechnique de Montréal). 243–247. 25 indexed citations
19.
Nhu, Tri & Beongku An. (2014). Cooperative Spectrum Sensing Schemes with the Interference Constraint in Cognitive Radio Networks. Sensors. 14(5). 8037–8056. 14 indexed citations
20.
Yavaş, O., P. Leǐderer, Costas P. Grigoropoulos, et al.. (1994). Optical and acoustic study of nucleation and growth of bubbles at a liquid-solid interface induced by nanosecond-pulsed-laser heating. Applied Physics A. 58(4). 407–415. 34 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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