Dinh‐Thuan Do

4.7k total citations
229 papers, 3.4k citations indexed

About

Dinh‐Thuan Do is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Dinh‐Thuan Do has authored 229 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 216 papers in Electrical and Electronic Engineering, 47 papers in Computer Networks and Communications and 47 papers in Aerospace Engineering. Recurrent topics in Dinh‐Thuan Do's work include Advanced Wireless Communication Technologies (161 papers), Energy Harvesting in Wireless Networks (86 papers) and Advanced MIMO Systems Optimization (62 papers). Dinh‐Thuan Do is often cited by papers focused on Advanced Wireless Communication Technologies (161 papers), Energy Harvesting in Wireless Networks (86 papers) and Advanced MIMO Systems Optimization (62 papers). Dinh‐Thuan Do collaborates with scholars based in Vietnam, Taiwan and United States. Dinh‐Thuan Do's co-authors include Anh‐Tu Le, Chi‐Bao Le, Byung Moo Lee, Minh‐Sang Van Nguyen, Miroslav Vozňák, Thanh Luan Nguyen, Xingwang Li, Khaled M. Rabie, Tu N. Nguyen and Hoang-Sy Nguyen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Dinh‐Thuan Do

219 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dinh‐Thuan Do Vietnam 34 2.8k 1.1k 882 187 117 229 3.4k
Keshav Singh Taiwan 32 2.4k 0.8× 1.3k 1.2× 918 1.0× 203 1.1× 73 0.6× 246 3.0k
Ming Zeng Canada 28 2.9k 1.0× 959 0.9× 626 0.7× 266 1.4× 69 0.6× 119 3.3k
Helin Yang China 30 2.3k 0.8× 659 0.6× 908 1.0× 381 2.0× 148 1.3× 110 3.0k
Ahcène Bounceur France 17 1.4k 0.5× 700 0.7× 540 0.6× 156 0.8× 110 0.9× 79 2.0k
Arafat Al‐Dweik United Arab Emirates 30 2.2k 0.8× 486 0.5× 1.1k 1.3× 287 1.5× 124 1.1× 181 2.8k
Kanapathippillai Cumanan United Kingdom 32 2.8k 1.0× 760 0.7× 1.1k 1.3× 240 1.3× 144 1.2× 142 3.2k
Adnan Shahid Belgium 21 1.5k 0.5× 428 0.4× 703 0.8× 214 1.1× 68 0.6× 93 2.0k
Richard Demo Souza Brazil 27 2.9k 1.0× 539 0.5× 2.1k 2.3× 245 1.3× 111 0.9× 303 3.5k
Basem Shihada Saudi Arabia 28 1.7k 0.6× 557 0.5× 1.1k 1.3× 174 0.9× 127 1.1× 173 2.5k

Countries citing papers authored by Dinh‐Thuan Do

Since Specialization
Citations

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

Fields of papers citing papers by Dinh‐Thuan Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dinh‐Thuan Do. 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 Dinh‐Thuan Do. The network helps show where Dinh‐Thuan Do may publish in the future.

Co-authorship network of co-authors of Dinh‐Thuan Do

This figure shows the co-authorship network connecting the top 25 collaborators of Dinh‐Thuan Do. A scholar is included among the top collaborators of Dinh‐Thuan Do 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 Dinh‐Thuan Do. Dinh‐Thuan Do 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.
Lee, Cheng‐Chi, Dinh‐Thuan Do, & Agbotiname Lucky Imoize. (2025). Machine Learning for Blockchain and IoT Systems in Smart City. Future Internet. 17(2). 80–80. 1 indexed citations
2.
Mordachev, Vladimir, et al.. (2024). Nonlinear Testing-based EMI Characterization of Wireless Communication Transmitter with Microwave Power Amplifier. Progress In Electromagnetics Research C. 147. 27–37. 1 indexed citations
3.
Do, Dinh‐Thuan, et al.. (2024). Impacts of Co-Channel Interference on Performance of Downlink IRS-NOMA Systems. IEEE Access. 12. 61860–61876. 6 indexed citations
4.
Tiang, Jun Jiat, et al.. (2023). Evaluating the Performance of Proposed Switched Beam Antenna Systems in Dynamic V2V Communication Networks. Sensors. 23(15). 6782–6782. 6 indexed citations
5.
Isabona, Joseph, Agbotiname Lucky Imoize, Stephen Ojo, Dinh‐Thuan Do, & Cheng‐Chi Lee. (2023). Machine Learning-Based GPR with LBFGS Kernel Parameters Selection for Optimal Throughput Mining in 5G Wireless Networks. Sustainability. 15(2). 1678–1678. 5 indexed citations
6.
Awotunde, Joseph Bamidele, Sakinat Oluwabukonla Folorunso, Agbotiname Lucky Imoize, et al.. (2023). An Ensemble Tree-Based Model for Intrusion Detection in Industrial Internet of Things Networks. Applied Sciences. 13(4). 2479–2479. 58 indexed citations
7.
Li, Xingwang, Congzheng Han, Lihua Li, et al.. (2023). UAV-Enabled Multi-Pair Massive MIMO-NOMA Relay Systems With Low-Resolution ADCs/DACs. IEEE Transactions on Vehicular Technology. 73(2). 2171–2186. 43 indexed citations
8.
Do, Dinh‐Thuan & Minh‐Sang Van Nguyen. (2022). Empowering secure transmission for downlink of multiple access system relying non-orthogonal signal multiplexing. Bulletin of Electrical Engineering and Informatics. 11(4). 2088–2095. 1 indexed citations
9.
Dao, Nhu‐Ngoc, Quoc‐Viet Pham, Dinh‐Thuan Do, & Schahram Dustdar. (2021). The Sky is the Edge—Toward Mobile Coverage From the Sky. IEEE Internet Computing. 25(2). 101–108. 16 indexed citations
10.
Do, Dinh‐Thuan, et al.. (2021). Reconfigurable Intelligent Surface Aided Multi-User Communications: State-of-the-Art Techniques and Open Issues. IEEE Access. 9. 118584–118605. 53 indexed citations
11.
Le, Anh‐Tu, et al.. (2021). Enabling NOMA in Overlay Spectrum Sharing in Hybrid Satellite-Terrestrial Systems. IEEE Access. 9. 56616–56629. 18 indexed citations
12.
Li, Xingwang, et al.. (2020). Physical Layer Security of Cooperative NOMA for IoT Networks Under I/Q Imbalance. IEEE Access. 8. 51189–51199. 37 indexed citations
13.
Le, Chi‐Bao & Dinh‐Thuan Do. (2020). Two policies for wireless non‐orthogonal multiple access systems: System model and performance enhancement of far user. International Journal of Communication Systems. 33(18). 1 indexed citations
14.
Do, Dinh‐Thuan, Chi‐Bao Le, & Anh‐Tu Le. (2020). Joint of full-duplex relay, non-linear energy harvesting and multiple access in performance improvement of cell-edge user in heterogeneous networks. Wireless Networks. 26(8). 6253–6266. 3 indexed citations
15.
Do, Dinh‐Thuan, et al.. (2020). UAV Relaying Enabled NOMA Network With Hybrid Duplexing and Multiple Antennas. IEEE Access. 8. 186993–187007. 31 indexed citations
16.
Le, Chi‐Bao, Dinh‐Thuan Do, & Miroslav Vozňák. (2019). Wireless-Powered Cooperative MIMO NOMA Networks: Design and Performance Improvement for Cell-Edge Users. Electronics. 8(3). 328–328. 12 indexed citations
17.
Do, Dinh‐Thuan & Chi‐Bao Le. (2019). Impact of fixed power allocation in wireless energy harvesting NOMA networks. International Journal of Communication Systems. 32(14). 9 indexed citations
18.
Do, Dinh‐Thuan, et al.. (2019). Exploiting secure performance in power domain–based multiple access: Impacts of relay link/direct link and secure analysis. International Journal of Communication Systems. 32(15). 2 indexed citations
19.
Le, Chi‐Bao, et al.. (2019). Power Beacon-Based Wireless Power Transfer in MISO/SISO: An Application in Device-to-Device Networks. Wireless Personal Communications. 110(1). 381–402. 2 indexed citations
20.
Do, Dinh‐Thuan. (2015). Time Power Switching Based Relaying Protocol in Energy Harvesting Mobile Node: Optimal Throughput Analysis. Mobile Information Systems. 2015. 1–8. 26 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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