Dinh Thai Hoang

16.7k total citations · 6 hit papers
203 papers, 11.1k citations indexed

About

Dinh Thai Hoang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Dinh Thai Hoang has authored 203 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Electrical and Electronic Engineering, 96 papers in Computer Networks and Communications and 47 papers in Artificial Intelligence. Recurrent topics in Dinh Thai Hoang's work include Energy Harvesting in Wireless Networks (53 papers), Advanced MIMO Systems Optimization (42 papers) and Wireless Communication Security Techniques (25 papers). Dinh Thai Hoang is often cited by papers focused on Energy Harvesting in Wireless Networks (53 papers), Advanced MIMO Systems Optimization (42 papers) and Wireless Communication Security Techniques (25 papers). Dinh Thai Hoang collaborates with scholars based in Australia, Singapore and Vietnam. Dinh Thai Hoang's co-authors include Dusit Niyato, Ping Wang, Dong In Kim, Ying‐Chang Liang, Chonho Lee, Diep N. Nguyen, Shimin Gong, Eryk Dutkiewicz, Nguyen Cong Luong and Nguyễn Văn Huynh and has published in prestigious journals such as Proceedings of the IEEE, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Dinh Thai Hoang

193 papers receiving 10.8k citations

Hit Papers

5 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.

Federated Learning in Mobile Edge Networks: A Comprehensive Survey

2020 1.6k citations Dinh Thai Hoang, Ying‐Chang Liang et al. IEEE Communications Surveys & Tutorials profile →
A survey of mobile cloud computing: architecture, applications, and approaches

2011 1.6k citations Dinh Thai Hoang, Dusit Niyato et al. profile →
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

2019 1.4k citations Dinh Thai Hoang, Shimin Gong et al. IEEE Communications Surveys & Tutorials profile →
Ambient Backscatter Communications: A Contemporary Survey

2018 647 citations Nguyễn Văn Huynh, Dinh Thai Hoang et al. IEEE Communications Surveys & Tutorials profile →
A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

2019 647 citations Wenbo Wang, Dinh Thai Hoang et al. profile →
Proof-of-Stake Consensus Mechanisms for Future Blockchain Networks: Fundamentals, Applications and Opportunities

2019 293 citations Cong T. Nguyen, Dinh Thai Hoang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dinh Thai Hoang Australia	42	5.4k	4.8k	2.7k	2.6k	1.3k	203	11.1k
Choong Seon Hong South Korea	53	8.9k 1.7×	6.9k 1.4×	3.4k 1.3×	2.4k 0.9×	1.9k 1.5×	772	15.2k
Ala Al‐Fuqaha United States	35	6.4k 1.2×	4.1k 0.8×	2.4k 0.9×	2.5k 1.0×	2.0k 1.6×	222	12.9k
Quoc‐Viet Pham South Korea	47	3.3k 0.6×	3.1k 0.7×	3.0k 1.1×	1.6k 0.6×	1.6k 1.3×	169	10.3k
Jiawen Kang China	52	4.9k 0.9×	3.9k 0.8×	4.7k 1.8×	4.6k 1.7×	1.1k 0.8×	366	12.8k
Zehui Xiong Singapore	61	5.6k 1.0×	3.8k 0.8×	4.7k 1.7×	4.2k 1.6×	1.9k 1.5×	438	14.0k
Ping Wang Singapore	56	8.3k 1.6×	8.8k 1.8×	2.0k 0.8×	4.1k 1.6×	1.6k 1.3×	357	16.4k
Geyong Min United Kingdom	62	9.1k 1.7×	4.6k 1.0×	4.0k 1.5×	3.9k 1.5×	897 0.7×	657	15.0k
Vinay Chamola India	55	3.7k 0.7×	2.5k 0.5×	2.4k 0.9×	3.4k 1.3×	1.1k 0.9×	241	10.2k
Salil S. Kanhere Australia	52	5.2k 1.0×	3.0k 0.6×	2.5k 0.9×	3.9k 1.5×	624 0.5×	318	10.8k
Tom H. Luan China	51	4.5k 0.8×	3.4k 0.7×	2.6k 0.9×	2.4k 0.9×	778 0.6×	254	8.9k

Countries citing papers authored by Dinh Thai Hoang

Since Specialization

Citations

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

Fields of papers citing papers by Dinh Thai Hoang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dinh Thai Hoang. 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 Thai Hoang. The network helps show where Dinh Thai Hoang may publish in the future.

Co-authorship network of co-authors of Dinh Thai Hoang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jamshidi, Mohammad, Dinh Thai Hoang, Diep N. Nguyen, Dusit Niyato, & Majid Ebrahimi Warkiani. (2025). Revolutionizing biological digital twins: Integrating internet of bio-nano things, convolutional neural networks, and federated learning. Computers in Biology and Medicine. 189. 109970–109970. 1 indexed citations

Jamshidi, Mohammad, Cong T. Nguyen, Cong T. Nguyen, et al.. (2025). Enabling technologies for Web 3.0: A comprehensive survey. Computer Networks. 264. 111242–111242. 2 indexed citations

Hoang, Dinh Thai, et al.. (2024). Sparse Attention-Driven Quality Prediction for Production Process Optimization in Digital Twins. IEEE Internet of Things Journal. 11(23). 38569–38584. 2 indexed citations

Nguyen, Cong T., Yinqiu Liu, Hongyang Du, et al.. (2024). Generative AI-Enabled Blockchain Networks: Fundamentals, Applications, and Case Study. IEEE Network. 39(2). 232–241. 15 indexed citations

Hoang, Dinh Thai, et al.. (2024). Energy-Efficient Decentralized Federated Learning for UAV Swarm With Spiking Neural Networks and Leader Election Mechanism. IEEE Wireless Communications Letters. 13(10). 2742–2746. 5 indexed citations

Khoa, Tran Viet, et al.. (2024). Real-time Cyberattack Detection with Collaborative Learning for Blockchain Networks. arXiv (Cornell University). 1–6. 1 indexed citations

Jamshidi, Mohammad, et al.. (2024). CNN-FL for Biotechnology Industry Empowered by Internet-of-BioNano Things and Digital Twins. IEEE Internet of Things Magazine. 7(5). 54–63. 2 indexed citations

Hoang, Dinh Thai, et al.. (2024). A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey. IEEE Communications Surveys & Tutorials. 26(3). 2120–2145. 26 indexed citations

Hoang, Dinh Thai, et al.. (2023). Germination responses to seed-rhizosphere hypoxia in relation to waterlogging tolerance of soybean. Vegetos. 37(3). 1098–1106. 1 indexed citations

10.

Le, Mai, Dinh Thai Hoang, Diep N. Nguyen, Quoc‐Viet Pham, & Won‐Joo Hwang. (2023). Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation. IEEE Internet of Things Journal. 11(21). 34093–34107. 10 indexed citations

11.

Dinh, Phai Vu, et al.. (2022). Twin Variational Auto-Encoder for Representation Learning in IoT Intrusion Detection. 2022 IEEE Wireless Communications and Networking Conference (WCNC). 848–853. 4 indexed citations

12.

Zhou, Hang, et al.. (2022). Hierarchical Multi-Agent Deep Reinforcement Learning for Energy-Efficient Hybrid Computation Offloading. IEEE Transactions on Vehicular Technology. 72(1). 986–1001. 20 indexed citations

13.

Nguyen, Diep N., Khuong Ho‐Van, Dinh Thai Hoang, et al.. (2022). Secure Swarm UAV-Assisted Communications With Cooperative Friendly Jamming. IEEE Internet of Things Journal. 9(24). 25596–25611. 32 indexed citations

14.

Nguyen, Cong T., Nguyễn Văn Huynh, Yuris Mulya Saputra, et al.. (2022). Transfer Learning for Wireless Networks: A Comprehensive Survey. Proceedings of the IEEE. 110(8). 1073–1115. 68 indexed citations

15.

Nguyen, Tri Gia, Trung V. Phan, Dinh Thai Hoang, Tu N. Nguyen, & Chakchai So–In. (2021). Federated Deep Reinforcement Learning for Traffic Monitoring in SDN-Based IoT Networks. IEEE Transactions on Cognitive Communications and Networking. 7(4). 1048–1065. 54 indexed citations

16.

Saputra, Yuris Mulya, Diep N. Nguyen, Dinh Thai Hoang, et al.. (2020). Federated Learning Meets Contract Theory: Economic-Efficiency Framework for Electric Vehicle Networks. IEEE Transactions on Mobile Computing. 21(8). 2803–2817. 49 indexed citations

17.

Nguyen, Diep N., et al.. (2019). Optimal Task Offloading and Resource Allocation for Fog Computing.. arXiv (Cornell University). 3 indexed citations

18.

Gong, Shimin, Xiao Lu, Dinh Thai Hoang, et al.. (2019). Towards Smart Radio Environment for Wireless Communications via Intelligent Reflecting Surfaces: A Comprehensive Survey. arXiv (Cornell University). 20 indexed citations

19.

Hoang, Dinh Thai, Dusit Niyato, Ping Wang, Dong In Kim, & Zhu Han. (2016). The tradeoff analysis in RF-powered backscatter cognitive radio networks. UTS ePRESS (University of Technology Sydney). 39 indexed citations

20.

Hoang, Dinh Thai, Wanwipa Kaewpradit, S. Jogloy, Nimitr Vorasoot, & A. Patanothai. (2013). Biological nitrogen fixation of peanut genotypes with different levels of drought tolerance under mid-season drought.. SABRAO Journal of Breeding and Genetics. 45(3). 491–503. 11 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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