| Network traffic prediction based on deep belief network in wireless mesh backbone networks L Nie, D Jiang, S Yu, H Song 2017 IEEE Wireless Communications and Networking Conference (WCNC), 1-5, 2017 | 126 | 2017 |
| Data-driven intrusion detection for intelligent internet of vehicles: A deep convolutional neural network-based method L Nie, Z Ning, X Wang, X Hu, J Cheng, Y Li IEEE Transactions on Network Science and Engineering 7 (4), 2219-2230, 2020 | 113 | 2020 |
| Intrusion detection for secure social internet of things based on collaborative edge computing: a generative adversarial network-based approach L Nie, Y Wu, X Wang, L Guo, G Wang, X Gao, S Li IEEE Transactions on Computational Social Systems 9 (1), 134-145, 2021 | 103 | 2021 |
| A reinforcement learning-based network traffic prediction mechanism in intelligent internet of things L Nie, Z Ning, MS Obaidat, B Sadoun, H Wang, S Li, L Guo, G Wang IEEE Transactions on Industrial Informatics 17 (3), 2169-2180, 2020 | 83 | 2020 |
| Delay-sensitive secure NOMA transmission for hierarchical HAP–LAP medical-care IoT networks D Wang, Y He, K Yu, G Srivastava, L Nie, R Zhang IEEE Transactions on Industrial Informatics 18 (8), 5561-5572, 2021 | 81 | 2021 |
| Traffic matrix prediction and estimation based on deep learning in large-scale IP backbone networks L Nie, D Jiang, L Guo, S Yu Journal of Network and Computer Applications 76, 16-22, 2016 | 69 | 2016 |
| Spatio-temporal network traffic estimation and anomaly detection based on convolutional neural network in vehicular ad-hoc networks L Nie, Y Li, X Kong IEEE Access 6, 40168-40176, 2018 | 63 | 2018 |
| Spatio-temporal Kronecker compressive sensing for traffic matrix recovery D Jiang, L Nie, Z Lv, H Song IEEE Access 4, 3046-3053, 2016 | 52 | 2016 |
| Network traffic prediction based on deep belief network and spatiotemporal compressive sensing in wireless mesh backbone networks L Nie, X Wang, L Wan, S Yu, H Song, D Jiang Wireless Communications and Mobile Computing 2018 (1), 1260860, 2018 | 51 | 2018 |
| A NOMA-enabled framework for relay deployment and network optimization in double-layer airborne access VANETs Y He, L Nie, T Guo, K Kaur, MM Hassan, K Yu IEEE Transactions on Intelligent Transportation Systems 23 (11), 22452-22466, 2022 | 48 | 2022 |
| Blockchain based IIoT data sharing framework for SDN-enabled pervasive edge computing Y Gao, Y Chen, X Hu, H Lin, Y Liu, L Nie IEEE Transactions on Industrial Informatics 17 (7), 5041-5049, 2020 | 48 | 2020 |
| Traffic matrix prediction and estimation based on deep learning for data center networks L Nie, D Jiang, L Guo, S Yu, H Song 2016 IEEE Globecom Workshops (GC Wkshps), 1-6, 2016 | 45 | 2016 |
| A redactable blockchain framework for secure federated learning in industrial Internet of Things J Wei, Q Zhu, Q Li, L Nie, Z Shen, KKR Choo, K Yu IEEE Internet of Things Journal 9 (18), 17901-17911, 2022 | 44 | 2022 |
| Modeling network traffic for traffic matrix estimation and anomaly detection based on Bayesian network in cloud computing networks L Nie, D Jiang, Z Lv Annals of Telecommunications 72, 297-305, 2017 | 44 | 2017 |
| Intelligent intrusion detection for internet of things security: A deep convolutional generative adversarial network-enabled approach Y Wu, L Nie, S Wang, Z Ning, S Li IEEE Internet of Things Journal 10 (4), 3094-3106, 2021 | 40 | 2021 |
| Network traffic prediction in industrial Internet of Things backbone networks: A multitask learning mechanism L Nie, X Wang, S Wang, Z Ning, MS Obaidat, B Sadoun, S Li IEEE Transactions on Industrial Informatics 17 (10), 7123-7132, 2021 | 38 | 2021 |
| Intrusion detection in green internet of things: a deep deterministic policy gradient-based algorithm L Nie, W Sun, S Wang, Z Ning, JJPC Rodrigues, Y Wu, S Li IEEE Transactions on Green Communications and Networking 5 (2), 778-788, 2021 | 34 | 2021 |
| An approximate approach to end-to-end traffic in communication networks D Jiang, XU Zhengzheng, N Laisen, L Jindi Chinese Journal of Electronics 21 (4), 705-710, 2012 | 29 | 2012 |
| A multitask learning-based network traffic prediction approach for SDN-enabled industrial Internet of Things S Wang, L Nie, G Li, Y Wu, Z Ning IEEE Transactions on Industrial Informatics 18 (11), 7475-7483, 2022 | 28 | 2022 |
| A new motion parameter estimation and relocation scheme for airborne three-channel CSSAR-GMTI systems Y Li, Y Wang, B Liu, S Zhang, L Nie, G Bi IEEE Transactions on Geoscience and Remote Sensing 57 (6), 4107-4120, 2019 | 25 | 2019 |
Zhaolong Ning(宁兆龙)Professor, Highly Cited Researcher, Chongqing University of Posts and Telecommunications在 ieee.org 的电子邮件经过验证
