| Fog computing: Focusing on mobile users at the edge TH Luan, L Gao, Z Li, Y Xiang, G Wei, L Sun arXiv preprint arXiv:1502.01815, 2015 | 752 | 2015 |
| Fog computing: Survey of trends, architectures, requirements, and research directions RK Naha, S Garg, D Georgakopoulos, PP Jayaraman, L Gao, Y Xiang, ... IEEE access 6, 47980-48009, 2018 | 658 | 2018 |
| Decentralized privacy using blockchain-enabled federated learning in fog computing Y Qu, L Gao, TH Luan, Y Xiang, S Yu, B Li, G Zheng IEEE Internet of Things Journal 7 (6), 5171-5183, 2020 | 413 | 2020 |
| Scoring users’ privacy disclosure across multiple online social networks E Aghasian, S Garg, L Gao, S Yu, J Montgomery IEEE access 5, 13118-13130, 2017 | 390 | 2017 |
| Security and privacy in smart cities: Challenges and opportunities L Cui, G Xie, Y Qu, L Gao, Y Yang IEEE access 6, 46134-46145, 2018 | 326 | 2018 |
| A blockchained federated learning framework for cognitive computing in industry 4.0 networks Y Qu, SR Pokhrel, S Garg, L Gao, Y Xiang IEEE Transactions on Industrial Informatics 17 (4), 2964-2973, 2020 | 322 | 2020 |
| Asynchronous federated learning on heterogeneous devices: A survey C Xu, Y Qu, Y Xiang, L Gao Computer Science Review 50, 100595, 2023 | 253 | 2023 |
| Blockchain-enabled federated learning: A survey Y Qu, MP Uddin, C Gan, Y Xiang, L Gao, J Yearwood ACM Computing Surveys 55 (4), 1-35, 2022 | 179 | 2022 |
| A smart-contract-based access control framework for cloud smart healthcare system A Saini, Q Zhu, N Singh, Y Xiang, L Gao, Y Zhang IEEE Internet of Things Journal 8 (7), 5914-5925, 2020 | 160 | 2020 |
| Detecting false data attacks using machine learning techniques in smart grid: A survey L Cui, Y Qu, L Gao, G Xie, S Yu Journal of Network and Computer Applications 170, 102808, 2020 | 155 | 2020 |
| Location privacy and its applications: A systematic study B Liu, W Zhou, T Zhu, L Gao, Y Xiang IEEE access 6, 17606-17624, 2018 | 148 | 2018 |
| Cyber security framework for Internet of Things-based Energy Internet AS Sani, D Yuan, J Jin, L Gao, S Yu, ZY Dong Future Generation Computer Systems 93, 849-859, 2019 | 142 | 2019 |
| A comprehensive survey on multi-view clustering U Fang, M Li, J Li, L Gao, T Jia, Y Zhang IEEE Transactions on Knowledge and Data Engineering 35 (12), 12350-12368, 2023 | 114 | 2023 |
| Temporal knowledge graph completion: A survey B Cai, Y Xiang, L Gao, H Zhang, Y Li, J Li arXiv preprint arXiv:2201.08236, 2022 | 108 | 2022 |
| Federated learning meets natural language processing: A survey M Liu, S Ho, M Wang, L Gao, Y Jin, H Zhang arXiv preprint arXiv:2107.12603, 2021 | 88 | 2021 |
| Efficient and privacy preserving access control scheme for fog-enabled IoT K Fan, H Xu, L Gao, H Li, Y Yang Future Generation Computer Systems 99, 134-142, 2019 | 87 | 2019 |
| A hybrid privacy protection scheme in cyber-physical social networks Y Qu, S Yu, L Gao, W Zhou, S Peng IEEE Transactions on Computational Social Systems 5 (3), 773-784, 2018 | 80 | 2018 |
| FogRoute: DTN-based data dissemination model in fog computing L Gao, TH Luan, S Yu, W Zhou, B Liu IEEE Internet of Things Journal 4 (1), 225-235, 2016 | 79 | 2016 |
| Privacy-preserving blockchain-enabled federated learning for B5G-Driven edge computing Y Wan, Y Qu, L Gao, Y Xiang Computer Networks 204, 108671, 2022 | 76 | 2022 |
| A lightweight and attack-proof bidirectional blockchain paradigm for internet of things C Xu, Y Qu, TH Luan, PW Eklund, Y Xiang, L Gao IEEE Internet of Things Journal 9 (6), 4371-4384, 2021 | 76 | 2021 |
Yong XiangSchool of Information Technology, Deakin UniversityVerified email at deakin.edu.au
