Dang Van Huynh

971 total citations · 1 hit paper
34 papers, 689 citations indexed

About

Dang Van Huynh is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Dang Van Huynh has authored 34 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 13 papers in Electrical and Electronic Engineering and 10 papers in Aerospace Engineering. Recurrent topics in Dang Van Huynh's work include IoT and Edge/Fog Computing (18 papers), UAV Applications and Optimization (8 papers) and Advanced Wireless Communication Technologies (6 papers). Dang Van Huynh is often cited by papers focused on IoT and Edge/Fog Computing (18 papers), UAV Applications and Optimization (8 papers) and Advanced Wireless Communication Technologies (6 papers). Dang Van Huynh collaborates with scholars based in United Kingdom, Canada and Vietnam. Dang Van Huynh's co-authors include Trung Q. Duong, Octavia A. Dobre, Saeed R. Khosravirad, Tan Do‐Duy, Van‐Dinh Nguyen, Antonino Masaracchia, Hyundong Shin, Vishal Sharma, Berk Canberk and Long D. Nguyen and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Communications and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Dang Van Huynh

27 papers receiving 680 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Edge Intelligence-Based Ultra-Reliable and Low-Latency Communications for Digital Twin-Enabled Metaverse

2022 139 citations Dang Van Huynh, Saeed R. Khosravirad et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dang Van Huynh United Kingdom	12	419	245	162	159	87	34	689
Rui Dong Australia	6	244 0.6×	243 1.0×	46 0.3×	83 0.5×	63 0.7×	10	437
Zhanwei Hou Australia	12	278 0.7×	382 1.6×	71 0.4×	36 0.2×	69 0.8×	23	590
Woongsoo Na South Korea	15	597 1.4×	407 1.7×	290 1.8×	33 0.2×	62 0.7×	64	849
Mai Le South Korea	6	520 1.2×	411 1.7×	186 1.1×	23 0.1×	144 1.7×	8	802
Shehzad Ali Ashraf Sweden	6	532 1.3×	623 2.5×	60 0.4×	36 0.2×	63 0.7×	6	871
Zirui Zhuang China	12	345 0.8×	160 0.7×	132 0.8×	21 0.1×	119 1.4×	53	530
Prodromos‐Vasileios Mekikis Spain	17	533 1.3×	481 2.0×	178 1.1×	19 0.1×	48 0.6×	41	825
Amin Mohajer Iran	14	416 1.0×	401 1.6×	96 0.6×	21 0.1×	109 1.3×	21	694
Gang Zhu China	16	569 1.4×	1.0k 4.2×	153 0.9×	33 0.2×	64 0.7×	98	1.2k
Amin Ebrahimzadeh Canada	15	427 1.0×	320 1.3×	38 0.2×	26 0.2×	66 0.8×	64	677

Countries citing papers authored by Dang Van Huynh

Since Specialization

Citations

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

Fields of papers citing papers by Dang Van Huynh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dang Van Huynh. 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 Dang Van Huynh. The network helps show where Dang Van Huynh may publish in the future.

Co-authorship network of co-authors of Dang Van Huynh

This figure shows the co-authorship network connecting the top 25 collaborators of Dang Van Huynh. A scholar is included among the top collaborators of Dang Van Huynh 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 Dang Van Huynh. Dang Van Huynh 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

Huynh, Dang Van, et al.. (2025). Joint Phase-Shift Design and Power Control for Near- and Far-Field Communications in Extremely Large RIS-Aided UAV Networks. IEEE Internet of Things Journal. 12(13). 22658–22668.

Huynh, Dang Van, et al.. (2025). Joint Optimal Design for Speed and Routing in Maritime Logistics for Green Supply Chain: A Quantum Approximate Optimization Algorithm Approach. IEEE Internet of Things Journal. 12(19). 39556–39571.

Huynh, Dang Van, Saeed R. Khosravirad, Vishal Sharma, et al.. (2025). Carbon-Aware Edge Computing for Internet of Everything Networks: A Digital Twin Approach. IEEE Internet of Things Journal. 12(15). 29240–29251.

Huynh, Dang Van, et al.. (2025). Quantum Deep Reinforcement Learning for URLLC Satellite-Air-Ground Integrated Networks With Digital Twin Applications. IEEE Internet of Things Journal. 13(3). 4230–4246.

Huynh, Dang Van, Saeed R. Khosravirad, Simon L. Cotton, Hyundong Shin, & Trung Q. Duong. (2025). Multiagent Reinforcement Learning for Optimal Resource Allocation in Space–Air–Ground Integrated Networks. IEEE Internet of Things Journal. 13(3). 3618–3629.

Huynh, Dang Van, Saeed R. Khosravirad, Simon L. Cotton, Octavia A. Dobre, & Trung Q. Duong. (2025). DRL-Based Optimisation for Task Offloading in Space-Air-Ground Integrated Networks: A Reliability-Driven Approach. Research Portal (Queen's University Belfast). 6958–6963. 1 indexed citations

Masaracchia, Antonino, Dang Van Huynh, Trung Q. Duong, et al.. (2025). The Role of Digital Twin in 6G-Based URLLCs: Current Contributions, Research Challenges, and Next Directions. IEEE Open Journal of the Communications Society. 6. 1202–1215. 4 indexed citations

Huynh, Dang Van, Saeed R. Khosravirad, Simon L. Cotton, et al.. (2024). Joint Sensing, Communications, and Computing Design for 6G URLLC Service-Oriented MEC Networks. IEEE Internet of Things Journal. 11(20). 32429–32439. 7 indexed citations

Huynh, Dang Van, et al.. (2024). Task Offloading Optimization for UAV-Aided NOMA Networks With Coexistence of Near-Field and Far-Field Communications. IEEE Transactions on Green Communications and Networking. 9(1). 327–337. 5 indexed citations

10.

Huynh, Dang Van, Saeed R. Khosravirad, Vishal Sharma, et al.. (2024). Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks. Edinburgh Napier Research Repository (Edinburgh Napier University). 3057–3062. 1 indexed citations

11.

Huynh, Dang Van, Octavia A. Dobre, & Trung Q. Duong. (2024). Optimal Service Placement for 6G Edge Computing With Quantum-Centric Optimization in Real Quantum Hardware. IEEE Communications Letters. 29(3). 448–452. 1 indexed citations

12.

Li, Yijiu, Dang Van Huynh, Van-Linh Nguyen, et al.. (2024). Multiagent UAV-Aided URLLC Mobile Edge Computing Systems: A Joint Communication and Computation Optimization Approach. IEEE Systems Journal. 18(4). 1828–1838. 2 indexed citations

13.

Do‐Duy, Tan, et al.. (2023). Joint Computation and Communication Resource Allocation for Unmanned Aerial Vehicle NOMA Systems. Research Portal (Queen's University Belfast). 290–295. 5 indexed citations

14.

Duong, Trung Q., Dang Van Huynh, Saeed R. Khosravirad, et al.. (2023). From Digital Twin to Metaverse: The Role of 6G Ultra-Reliable and Low-Latency Communications with Multi-Tier Computing. IEEE Wireless Communications. 30(3). 140–146. 50 indexed citations

15.

Huynh, Dang Van, Van‐Dinh Nguyen, Symeon Chatzinotas, et al.. (2022). Joint Communication and Computation Offloading for Ultra-Reliable and Low-Latency With Multi-Tier Computing. IEEE Journal on Selected Areas in Communications. 41(2). 521–537. 27 indexed citations

16.

Duong, Trung Q., Long D. Nguyen, Bhaskara Narottama, et al.. (2022). Quantum-Inspired Real-Time Optimization for 6G Networks: Opportunities, Challenges, and the Road Ahead. IEEE Open Journal of the Communications Society. 3. 1347–1359. 46 indexed citations

17.

Huynh, Dang Van, Van‐Dinh Nguyen, Saeed R. Khosravirad, & Trung Q. Duong. (2022). Fairness-aware Latency Minimisation in Digital Twin-aided Edge Computing with Ultra-Reliable and Low-Latency Communications: A Distributed Optimisation Approach (Invited Paper). 1045–1049. 7 indexed citations

18.

Huynh, Dang Van, Van‐Dinh Nguyen, Saeed R. Khosravirad, & Trung Q. Duong. (2022). Minimising Offloading Latency for Edge-Cloud Systems with Ultra-Reliable and Low-Latency Communications. ICC 2022 - IEEE International Conference on Communications. 5122–5127. 6 indexed citations

19.

Li, Yijiu, Dang Van Huynh, Tan Do‐Duy, Emiliano Garcia‐Palacios, & Trung Q. Duong. (2022). Unmanned aerial vehicle‐aided edge networks with ultra‐reliable low‐latency communications: A digital twin approach. IET Signal Processing. 16(8). 897–908. 23 indexed citations

20.

Huynh, Dang Van, et al.. (2021). Real-Time Optimized Path Planning and Energy Consumption for Data Collection in Unmanned Ariel Vehicles-Aided Intelligent Wireless Sensing. IEEE Transactions on Industrial Informatics. 18(4). 2753–2761. 39 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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