| An amateur drone surveillance system based on the cognitive Internet of Things G Ding, Q Wu, L Zhang, Y Lin, TA Tsiftsis, YD Yao IEEE Communications Magazine 56 (1), 29-35, 2018 | 432 | 2018 |
| Semi-Supervised Learning with Generative Adversarial Networks on Digital Signal Modulation Classification. Y Tu, Y Lin, J Wang, JU Kim Computers, Materials & Continua 55 (2), 2018 | 369 | 2018 |
| : A Lightweight Blockchain System for Industrial Internet of Things Y Liu, K Wang, Y Lin, W Xu IEEE Transactions on Industrial Informatics 15 (6), 3571-3581, 2019 | 318 | 2019 |
| Contour stella image and deep learning for signal recognition in the physical layer Y Lin, Y Tu, Z Dou, L Chen, S Mao IEEE Transactions on Cognitive Communications and Networking 7 (1), 34-46, 2020 | 302 | 2020 |
| The individual identification method of wireless device based on dimensionality reduction and machine learning Y Lin, X Zhu, Z Zheng, Z Dou, R Zhou The journal of supercomputing 75 (6), 3010-3027, 2019 | 246 | 2019 |
| An improved neural network pruning technology for automatic modulation classification in edge devices Y Lin, Y Tu, Z Dou IEEE Transactions on Vehicular Technology 69 (5), 5703-5706, 2020 | 232 | 2020 |
| Digital signal modulation classification with data augmentation using generative adversarial nets in cognitive radio networks B Tang, Y Tu, Z Zhang, Y Lin IEEE Access 6, 15713-15722, 2018 | 228 | 2018 |
| Large-scale real-world radio signal recognition with deep learning TU Ya, LIN Yun, ZHA Haoran, J Zhang, W Yu, GUI Guan, MAO Shiwen Chinese Journal of Aeronautics 35 (9), 35-48, 2022 | 224 | 2022 |
| Complex-valued networks for automatic modulation classification Y Tu, Y Lin, C Hou, S Mao IEEE Transactions on Vehicular Technology 69 (9), 10085-10089, 2020 | 224 | 2020 |
| Transfer learning promotes 6G wireless communications: Recent advances and future challenges M Wang, Y Lin, Q Tian, G Si IEEE Transactions on Reliability 70 (2), 790-807, 2021 | 223 | 2021 |
| Adversarial attacks in modulation recognition with convolutional neural networks Y Lin, H Zhao, X Ma, Y Tu, M Wang IEEE Transactions on Reliability 70 (1), 389-401, 2020 | 211 | 2020 |
| Multisensor fault diagnosis modeling based on the evidence theory Y Lin, Y Li, X Yin, Z Dou IEEE Transactions on Reliability 67 (2), 513-521, 2018 | 173 | 2018 |
| Dynamic spectrum interaction of UAV flight formation communication with priority: A deep reinforcement learning approach Y Lin, M Wang, X Zhou, G Ding, S Mao IEEE Transactions on Cognitive Communications and Networking 6 (3), 892-903, 2020 | 155 | 2020 |
| A novel dynamic spectrum access framework based on reinforcement learning for cognitive radio sensor networks Y Lin, C Wang, J Wang, Z Dou Sensors 16 (10), 1675, 2016 | 153 | 2016 |
| Threats of adversarial attacks in DNN-based modulation recognition Y Lin, H Zhao, Y Tu, S Mao, Z Dou IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2469-2478, 2020 | 135 | 2020 |
| Multisignal modulation classification using sliding window detection and complex convolutional network in frequency domain C Hou, G Liu, Q Tian, Z Zhou, L Hua, Y Lin IEEE Internet of Things Journal 9 (19), 19438-19449, 2022 | 122 | 2022 |
| Machine learning based bearing fault diagnosis using the case western reserve university data: A review X Zhang, B Zhao, Y Lin Ieee Access 9, 155598-155608, 2021 | 118 | 2021 |
| SR2CNN: Zero-shot learning for signal recognition Y Dong, X Jiang, H Zhou, Y Lin, Q Shi IEEE Transactions on Signal Processing 69, 2316-2329, 2021 | 113 | 2021 |
| Threat of adversarial attacks on DL-based IoT device identification Z Bao, Y Lin, S Zhang, Z Li, S Mao IEEE Internet of Things Journal 9 (11), 9012-9024, 2021 | 106 | 2021 |
| A new combination method for multisensor conflict information Y Lin, C Wang, C Ma, Z Dou, X Ma The Journal of Supercomputing 72, 2874-2890, 2016 | 102 | 2016 |
Guan Gui (桂冠)IEEE Fellow, IET Fellow, Highly Cited Researcher, Professor at NJUPTPatvirtintas el. paštas njupt.edu.cn