Tai Manh Ho

1.1k total citations
37 papers, 778 citations indexed

About

Tai Manh Ho is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Tai Manh Ho has authored 37 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Networks and Communications, 25 papers in Electrical and Electronic Engineering and 5 papers in Aerospace Engineering. Recurrent topics in Tai Manh Ho's work include Advanced MIMO Systems Optimization (17 papers), Advanced Wireless Network Optimization (11 papers) and Cooperative Communication and Network Coding (10 papers). Tai Manh Ho is often cited by papers focused on Advanced MIMO Systems Optimization (17 papers), Advanced Wireless Network Optimization (11 papers) and Cooperative Communication and Network Coding (10 papers). Tai Manh Ho collaborates with scholars based in South Korea, Canada and United States. Tai Manh Ho's co-authors include Choong Seon Hong, Nguyen H. Tran, S. M. Ahsan Kazmi, Kim Khoa Nguyen, Long Bao Le, Mohamed Cheriet, Walid Saad, Zhu Han, Dusit Niyato and Thant Zin Oo and has published in prestigious journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

Tai Manh Ho

34 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tai Manh Ho South Korea 17 552 475 130 82 77 37 778
Pavlos Athanasios Apostolopoulos United States 11 424 0.8× 207 0.4× 135 1.0× 87 1.1× 128 1.7× 15 596
Antonino Orsino Italy 19 635 1.2× 675 1.4× 175 1.3× 61 0.7× 75 1.0× 49 964
Zhanwei Hou Australia 12 278 0.5× 382 0.8× 71 0.5× 69 0.8× 55 0.7× 23 590
Amin Mohajer Iran 14 416 0.8× 401 0.8× 96 0.7× 109 1.3× 87 1.1× 21 694
Hyame Assem Alameddine Canada 13 649 1.2× 304 0.6× 83 0.6× 132 1.6× 175 2.3× 23 775
Te-Chuan Chiu Taiwan 11 402 0.7× 392 0.8× 38 0.3× 106 1.3× 92 1.2× 23 654
Minming Ni China 14 685 1.2× 533 1.1× 55 0.4× 69 0.8× 110 1.4× 59 821
Mai Le South Korea 6 520 0.9× 411 0.9× 186 1.4× 144 1.8× 129 1.7× 8 802
Angelos Michalas Greece 13 376 0.7× 363 0.8× 200 1.5× 45 0.5× 65 0.8× 67 608
Arash Bozorgchenani Italy 10 415 0.8× 262 0.6× 44 0.3× 87 1.1× 134 1.7× 24 532

Countries citing papers authored by Tai Manh Ho

Since Specialization
Citations

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

Fields of papers citing papers by Tai Manh Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai Manh Ho. 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 Tai Manh Ho. The network helps show where Tai Manh Ho may publish in the future.

Co-authorship network of co-authors of Tai Manh Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Tai Manh Ho. A scholar is included among the top collaborators of Tai Manh Ho 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 Tai Manh Ho. Tai Manh Ho 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.
Ho, Tai Manh, Kim Khoa Nguyen, & Mohamed Cheriet. (2025). AI-Powered Digital Twins for Robotic Control in 5G-Enabled Industrial Automation. IEEE Journal on Selected Areas in Communications. 43(10). 3347–3361.
2.
Ho, Tai Manh, et al.. (2024). Energy Efficient Orchestration for O-RAN. Espace ÉTS (ETS). 3316–3321.
3.
Ho, Tai Manh, Kim Khoa Nguyen, & Mohamed Cheriet. (2023). Optimized Task Offloading in UAV-Assisted Cloud Robotics. Espace ÉTS (ETS). 4773–4779. 2 indexed citations
4.
Ho, Tai Manh, Kim Khoa Nguyen, & Mohamed Cheriet. (2022). Federated Deep Reinforcement Learning for Task Scheduling in Heterogeneous Autonomous Robotic System. IEEE Transactions on Automation Science and Engineering. 21(1). 528–540. 33 indexed citations
5.
Kazmi, S. M. Ahsan, et al.. (2022). Computing on Wheels: A Deep Reinforcement Learning-Based Approach. IEEE Transactions on Intelligent Transportation Systems. 23(11). 22535–22548. 18 indexed citations
6.
Ho, Tai Manh, Kim Khoa Nguyen, & Mohamed Cheriet. (2022). Converging Game Theory and Reinforcement Learning For Industrial Internet of Things. IEEE Transactions on Network and Service Management. 20(2). 890–903. 4 indexed citations
7.
Ho, Tai Manh, Kim Khoa Nguyen, & Mohamed Cheriet. (2021). Energy-aware Control Of UAV-based Wireless Service Provisioning. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 2 indexed citations
8.
Ho, Tai Manh & Kim Khoa Nguyen. (2020). Joint Server Selection, Cooperative Offloading and Handover in Multi-access Edge Computing Wireless Network: A Deep Reinforcement Learning Approach. IEEE Transactions on Mobile Computing. 1–1. 78 indexed citations
9.
Ho, Tai Manh, et al.. (2020). UAV Trajectory and Sub-channel Assignment for UAV Based Wireless Networks. 1–6. 16 indexed citations
10.
Ho, Tai Manh, et al.. (2019). UAV Placement and Bandwidth Allocation for UAV Based Wireless Networks. 1–6. 27 indexed citations
11.
Ho, Tai Manh, et al.. (2019). Mobility-Aware Computation Offloading in MEC-Based Vehicular Wireless Networks. IEEE Communications Letters. 24(2). 466–469. 44 indexed citations
12.
Kazmi, S. M. Ahsan, Nguyen H. Tran, Tai Manh Ho, et al.. (2018). Coordinated Device-to-Device Communication With Non-Orthogonal Multiple Access in Future Wireless Cellular Networks. IEEE Access. 6. 39860–39875. 66 indexed citations
13.
Ho, Tai Manh, Nguyen H. Tran, S. M. Ahsan Kazmi, Zhu Han, & Choong Seon Hong. (2018). Wireless network virtualization with non-orthogonal multiple access. 1–9. 13 indexed citations
14.
Ndikumana, Anselme, Nguyen H. Tran, Tai Manh Ho, et al.. (2018). Joint Incentive Mechanism for Paid Content Caching and Price Based Cache Replacement Policy in Named Data Networking. IEEE Access. 6. 33702–33717. 28 indexed citations
15.
Ho, Tai Manh, Nguyen H. Tran, S. M. Ahsan Kazmi, & Choong Seon Hong. (2017). Dynamic pricing for resource allocation in wireless network virtualization: A Stackelberg game approach. 27 indexed citations
16.
Kazmi, S. M. Ahsan, Nguyen H. Tran, Walid Saad, et al.. (2016). Optimized Resource Management in Heterogeneous Wireless Networks. IEEE Communications Letters. 1–1. 35 indexed citations
17.
Dang, Tri Nguyen, S. M. Ahsan Kazmi, Tai Manh Ho, Nguyen H. Tran, & Choong Seon Hong. (2016). A Double-Auction mechanism for wireless charging networks. 1–4. 1 indexed citations
18.
Ho, Tai Manh, Nguyen H. Tran, S. M. Ahsan Kazmi, Do Hyun Kim, & Choong Seon Hong. (2016). Distributed resource allocation for interference management and QoS guarantee in underlay cognitive femtocell networks. 46. 1–4. 5 indexed citations
19.
Ho, Tai Manh, Nguyen H. Tran, Long Bao Le, et al.. (2016). Coordinated Resource Partitioning and Data Offloading in Wireless Heterogeneous Networks. IEEE Communications Letters. 20(5). 974–977. 17 indexed citations
20.
Ho, Tai Manh, Tuan LeAnh, S. M. Ahsan Kazmi, & Choong Seon Hong. (2014). Opportunistic resource allocation via stochastic network optimization in cognitive radio networks. 1–4. 1 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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