| Consortium blockchain for secure energy trading in industrial internet of things Z Li, J Kang, R Yu, D Ye, Q Deng, Y Zhang IEEE transactions on industrial informatics 14 (8), 3690-3700, 2017 | 1434 | 2017 |
| Enabling localized peer-to-peer electricity trading among plug-in hybrid electric vehicles using consortium blockchains J Kang, R Yu, X Huang, S Maharjan, Y Zhang, E Hossain IEEE transactions on industrial informatics 13 (6), 3154-3164, 2017 | 1382 | 2017 |
| Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory J Kang, Z Xiong, D Niyato, S Xie, J Zhang IEEE Internet of Things Journal, 2019 | 1041 | 2019 |
| Blockchain for secure and efficient data sharing in vehicular edge computing and networks J Kang, R Yu, X Huang, M Wu, S Maharjan, S Xie, Y Zhang IEEE internet of things journal 6 (3), 4660-4670, 2018 | 954 | 2018 |
| Privacy-preserving traffic flow prediction: A federated learning approach Y Liu, JQ James, J Kang, D Niyato, S Zhang IEEE Internet of Things Journal 7 (8), 7751-7763, 2020 | 778 | 2020 |
| Reliable Federated Learning for Mobile Networks J Kang, Z Xiong, D Niyato, Y Zou, Y Zhang, M Guizani IEEE Wireless Communications, 2019 | 720 | 2019 |
| A full dive into realizing the edge-enabled metaverse: Visions, enabling technologies, and challenges M Xu, WC Ng, WYB Lim, J Kang, Z Xiong, D Niyato, Q Yang, XS Shen, ... IEEE Communications Surveys & Tutorials, 2022 | 699 | 2022 |
| Fusing blockchain and AI with metaverse: A survey Q Yang, Y Zhao, H Huang, Z Xiong, J Kang, Z Zheng IEEE Open Journal of the Computer Society 3, 122-136, 2022 | 688 | 2022 |
| Deep anomaly detection for time-series data in industrial IoT: A communication-efficient on-device federated learning approach Y Liu, S Garg, J Nie, Y Zhang, Z Xiong, J Kang, MS Hossain IEEE Internet of Things Journal 8 (8), 6348-6358, 2020 | 685 | 2020 |
| Toward secure blockchain-enabled internet of vehicles: Optimizing consensus management using reputation and contract theory J Kang, Z Xiong, D Niyato, D Ye, DI Kim, J Zhao IEEE Transactions on Vehicular Technology 68 (3), 2906-2920, 2019 | 680 | 2019 |
| Federated learning for 6G communications: Challenges, methods, and future directions Y Liu, X Yuan, Z Xiong, J Kang, X Wang, D Niyato China Communications 17 (9), 105-118, 2020 | 525 | 2020 |
| Unleashing the power of edge-cloud generative AI in mobile networks: A survey of AIGC services M Xu, H Du, D Niyato, J Kang, Z Xiong, S Mao, Z Han, A Jamalipour, ... IEEE Communications Surveys & Tutorials 26 (2), 1127-1170, 2024 | 437 | 2024 |
| A secure federated learning framework for 5G networks Y Liu, J Peng, J Kang, AM Iliyasu, D Niyato, AA Abd El-Latif IEEE Wireless Communications 27 (4), 24-31, 2020 | 354 | 2020 |
| Towards federated learning in UAV-enabled Internet of Vehicles: A multi-dimensional contract-matching approach WYB Lim, J Huang, Z Xiong, J Kang, D Niyato, XS Hua, C Leung, C Miao IEEE Transactions on Intelligent Transportation Systems 22 (8), 5140-5154, 2021 | 353 | 2021 |
| Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach J Kang, Z Xiong, D Niyato, H Yu, YC Liang, DI Kim The 16th IEEE Asia Pacific Wireless Communications Symposium, APWCS 2019, 2019 | 335 | 2019 |
| Distributed reputation management for secure and efficient vehicular edge computing and networks X Huang, R Yu, J Kang, Y Zhang IEEE Access 5, 25408-25420, 2017 | 293 | 2017 |
| Privacy-preserved pseudonym scheme for fog computing supported internet of vehicles J Kang, R Yu, X Huang, Y Zhang IEEE Transactions on Intelligent Transportation Systems 19 (8), 2627-2637, 2017 | 271 | 2017 |
| 6G-enabled edge AI for metaverse: Challenges, methods, and future research directions L Chang, Z Zhang, P Li, S Xi, W Guo, Y Shen, Z Xiong, J Kang, D Niyato, ... Journal of communications and information networks 7 (2), 107-121, 2022 | 263 | 2022 |
| Machine learning-powered encrypted network traffic analysis: A comprehensive survey M Shen, K Ye, X Liu, L Zhu, J Kang, S Yu, Q Li, K Xu IEEE Communications Surveys & Tutorials 25 (1), 791-824, 2022 | 223 | 2022 |
| Exploring mobile edge computing for 5G-enabled software defined vehicular networks X Huang, R Yu, J Kang, Y He, Y Zhang IEEE Wireless Communications 24 (6), 55-63, 2018 | 197 | 2018 |
Dusit (Tao) NiyatoNanyang Technological University (NTU)Verified email at ntu.edu.sg
