| Federated learning in mobile edge networks: A comprehensive survey WYB Lim, NC Luong, DT Hoang, Y Jiao, YC Liang, Q Yang, D Niyato, ... IEEE communications surveys & tutorials 22 (3), 2031-2063, 2020 | 2251 | 2020 |
| Applications of deep reinforcement learning in communications and networking: A survey NC Luong, DT Hoang, S Gong, D Niyato, P Wang, YC Liang, DI Kim IEEE communications surveys & tutorials 21 (4), 3133-3174, 2019 | 1893 | 2019 |
| Data collection and wireless communication in Internet of Things (IoT) using economic analysis and pricing models: A survey NC Luong, DT Hoang, P Wang, D Niyato, DI Kim, Z Han IEEE Communications Surveys & Tutorials 18 (4), 2546-2590, 2016 | 377 | 2016 |
| Optimal auction for edge computing resource management in mobile blockchain networks: A deep learning approach NC Luong, Z Xiong, P Wang, D Niyato 2018 IEEE international conference on communications (ICC), 1-6, 2018 | 255 | 2018 |
| Resource management in cloud networking using economic analysis and pricing models: A survey NC Luong, P Wang, D Niyato, Y Wen, Z Han IEEE Communications Surveys & Tutorials 19 (2), 954-1001, 2017 | 224 | 2017 |
| Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey V Hassija, V Chamola, A Agrawal, A Goyal, NC Luong, D Niyato, FR Yu, ... IEEE Communications Surveys & Tutorials PP(99), 2021 | 194 | 2021 |
| A survey on blockchain: A game theoretical perspective Z Liu, NC Luong, W Wang, D Niyato, P Wang, YC Liang, DI Kim IEEE Access 7, 47615-47643, 2019 | 182 | 2019 |
| Radio resource management in joint radar and communication: A comprehensive survey NC Luong, X Lu, DT Hoang, D Niyato, DI Kim IEEE Communications Surveys & Tutorials 23 (2), 780-814, 2021 | 171 | 2021 |
| Incentive mechanisms for federated learning: From economic and game theoretic perspective X Tu, K Zhu, NC Luong, D Niyato, Y Zhang, J Li IEEE transactions on cognitive communications and networking 8 (3), 1566-1593, 2022 | 157 | 2022 |
| Smart data pricing models for the internet of things: a bundling strategy approach D Niyato, DT Hoang, NC Luong, P Wang, DI Kim, Z Han IEEE Network 30 (2), 18-25, 2016 | 149 | 2016 |
| A survey on applications of game theory in blockchain Z Liu, NC Luong, W Wang, D Niyato, P Wang, YC Liang, DI Kim arXiv preprint arXiv:1902.10865, 2019 | 140 | 2019 |
| Applications of multi-agent reinforcement learning in future internet: A comprehensive survey T Li, K Zhu, NC Luong, D Niyato, Q Wu, Y Zhang, B Chen IEEE Communications Surveys & Tutorials 24 (2), 1240-1279, 2022 | 134 | 2022 |
| Applications of economic and pricing models for resource management in 5G wireless networks: A survey NC Luong, P Wang, D Niyato, YC Liang, Z Han, F Hou IEEE Communications Surveys & Tutorials 21 (4), 3298-3339, 2018 | 132 | 2018 |
| The best of both worlds: A general architecture for data management in blockchain-enabled Internet-of-Things Z Xiong, Y Zhang, NC Luong, D Niyato, P Wang, N Guizani IEEE network 34 (1), 166-173, 2020 | 126 | 2020 |
| Efficient training management for mobile crowd-machine learning: A deep reinforcement learning approach TT Anh, NC Luong, D Niyato, DI Kim, LC Wang IEEE Wireless Communications Letters 8 (5), 1345-1348, 2019 | 122 | 2019 |
| Computation offloading and content caching and delivery in vehicular edge network: A survey RA Dziyauddin, D Niyato, NC Luong, AAAM Atan, MAM Izhar, MH Azmi, ... Computer Networks 197, 108228, 2021 | 89 | 2021 |
| A comprehensive survey on coded distributed computing: Fundamentals, challenges, and networking applications JS Ng, WYB Lim, NC Luong, Z Xiong, A Asheralieva, D Niyato, C Leung, ... IEEE Communications Surveys & Tutorials 23 (3), 1800-1837, 2021 | 83 | 2021 |
| Resource allocation in mobility-aware federated learning networks: A deep reinforcement learning approach HT Nguyen, NC Luong, J Zhao, C Yuen, D Niyato 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), 1-6, 2020 | 74 | 2020 |
| Applications of auction and mechanism design in edge computing: A survey H Qiu, K Zhu, NC Luong, C Yi, D Niyato, DI Kim IEEE Transactions on Cognitive Communications and Networking 8 (2), 1034-1058, 2022 | 62 | 2022 |
| A machine-learning-based auction for resource trading in fog computing NC Luong, Y Jiao, P Wang, D Niyato, DI Kim, Z Han IEEE Communications Magazine 58 (3), 82-88, 2020 | 61 | 2020 |
