| When energy trading meets blockchain in electrical power system: The state of the art N Wang, X Zhou, X Lu, Z Guan, L Wu, X Du, M Guizani Applied Sciences 9 (8), 1561, 2019 | 218 | 2019 |
| Achieving efficient and Privacy-preserving energy trading based on blockchain and ABE in smart grid Z Guan, X Lu, W Yang, L Wu, N Wang, Z Zhang Journal of Parallel and Distributed Computing 147, 34-45, 2021 | 102 | 2021 |
| Towards secure and efficient energy trading in IIoT-enabled energy internet: A blockchain approach Z Guan, X Lu, N Wang, J Wu, X Du, M Guizani Future Generation Computer Systems 110, 686-695, 2020 | 99 | 2020 |
| A blockchain based privacy-preserving federated learning scheme for Internet of Vehicles N Wang, W Yang, X Wang, L Wu, Z Guan, X Du, M Guizani Digital Communications and Networks, 2022 | 45 | 2022 |
| A practical cross-device federated learning framework over 5g networks W Yang, N Wang, Z Guan, L Wu, X Du, M Guizani IEEE Wireless Communications 29 (6), 128-134, 2022 | 31 | 2022 |
| Achieving secure search over encrypted data for e-commerce: a blockchain approach Z Guan, N Wang, X Fan, X Liu, L Wu, S Wan ACM Transactions on Internet Technology (TOIT) 21 (1), 1-17, 2020 | 24 | 2020 |
| A secure and privacy-preserving machine learning model sharing scheme for edge-enabled IoT X Zhou, K Xu, N Wang, J Jiao, N Dong, M Han, H Xu IEEE Access 9, 17256-17265, 2021 | 22 | 2021 |
| Bpfl: A blockchain based privacy-preserving federated learning scheme N Wang, W Yang, Z Guan, X Du, M Guizani 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 13 | 2021 |
| FUSE: a federated learning and U-shape split learning-based electricity theft detection framework X Li, N Wang, L Zhu, S Yuan, Z Guan Science China Information Sciences 67 (4), 149302, 2024 | 1 | 2024 |
| FedStream: A Federated Learning Framework on Heterogeneous Streaming Data for Next-Generation Traffic Analysis N Wang, X Li, Z Guan, S Yuan IEEE Transactions on Network Science and Engineering, 2023 | 1 | 2023 |
| GBMIA: Gradient-based Membership Inference Attack in Federated Learning X Wang, N Wang, L Wu, Z Guan, X Du, M Guizani ICC 2023-IEEE International Conference on Communications, 5066-5071, 2023 | | 2023 |
