| Envisioning device-to-device communications in 6G S Zhang, J Liu, H Guo, M Qi, N Kato IEEE Network 34 (3), 86-91, 2020 | 267 | 2020 |
| Device-to-device communications for enhancing quality of experience in software defined multi-tier LTE-A networks J Liu, S Zhang, N Kato, H Ujikawa, K Suzuki IEEE Network 29 (4), 46-52, 2015 | 209 | 2015 |
| Analysis and optimization of multiple unmanned aerial vehicle-assisted communications in post-disaster areas S Zhang, J Liu IEEE Transactions on Vehicular Technology 67 (12), 12049-12060, 2018 | 118 | 2018 |
| Machine learning-enabled cooperative spectrum sensing for non-orthogonal multiple access Z Shi, W Gao, S Zhang, J Liu, N Kato IEEE Transactions on Wireless Communications 19 (9), 5692-5702, 2020 | 80 | 2020 |
| AI-enhanced cooperative spectrum sensing for non-orthogonal multiple access Z Shi, W Gao, S Zhang, J Liu, N Kato IEEE Wireless Communications 27 (2), 173-179, 2019 | 66 | 2019 |
| A stochastic geometry analysis of D2D overlaying multi-channel downlink cellular networks J Liu, S Zhang, H Nishiyama, N Kato, J Guo 2015 IEEE Conference on Computer Communications (INFOCOM), 46-54, 2015 | 64 | 2015 |
| Distributed Q-learning aided uplink grant-free NOMA for massive machine-type communications J Liu, Z Shi, S Zhang, N Kato IEEE Journal on Selected Areas in Communications 39 (7), 2029-2041, 2021 | 48 | 2021 |
| Stochastic geometric analysis of multiple unmanned aerial vehicle-assisted communications over Internet of Things S Zhang, J Liu, W Sun IEEE Internet of Things Journal 6 (3), 5446-5460, 2019 | 39 | 2019 |
| Multi-agent deep reinforcement learning for massive access in 5G and beyond ultra-dense NOMA system Z Shi, J Liu, S Zhang, N Kato IEEE Transactions on Wireless Communications 21 (5), 3057-3070, 2021 | 32 | 2021 |
| Deep learning techniques for advancing 6G communications in the physical layer S Zhang, J Liu, TK Rodrigues, N Kato IEEE Wireless Communications 28 (5), 141-147, 2021 | 26 | 2021 |
| Average rate analysis for a D2D overlaying two-tier downlink cellular network S Zhang, J Liu, N Kato, H Ujikawa, K Suzuki 2015 IEEE International Conference on Communications (ICC), 3376-3381, 2015 | 15 | 2015 |
| Multi-scale retinex with color restoration and detail compensation S Zhang, P Zeng, X Luo, H Zheng Journal of Xi'an Jiaotong University 46 (4), 2012 | 15 | 2012 |
| Multi-UAV enabled aerial-ground integrated networks: A stochastic geometry analysis S Zhang, Y Zhu, J Liu IEEE Transactions on Communications 70 (10), 7040-7054, 2022 | 13 | 2022 |
| Joint computation offloading and trajectory design for aerial computing S Zhang, J Liu, Y Zhu, J Zhang IEEE Wireless Communications 28 (5), 88-94, 2021 | 9 | 2021 |
| Joint Trajectory Design and Resource Allocation for Secure Air–Ground Integrated IoT Networks S Zhang, Z Shi, J Liu IEEE Internet of Things Journal 10 (23), 20458-20471, 2023 | 8 | 2023 |
| Design and Optimization of RSMA for Coexisting HTC/MTC in 6G and Future Networks S Zhang, J Liu, Z Shi, J Wang, N Kato IEEE Transactions on Wireless Communications 22 (12), 9533-9548, 2023 | 8 | 2023 |
| Reinforcement learning based RSS-threshold optimization for D2D-aided HTC/MTC in dense NOMA systems S Zhang, X Wang, Z Shi, J Liu IEEE Transactions on Wireless Communications 22 (10), 6489-6503, 2023 | 6 | 2023 |
| Trajectory Planning in UAV-Assisted Wireless Networks via Reinforcement Learning S He, S Zhang 2022 IEEE 23rd International Conference on High Performance Switching and …, 2022 | 3 | 2022 |
| Robust 3D Trajectory Optimization for Secure UAV-Ground Communications W Wang, S Zhang, J Liu 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 3 | 2021 |
| Ergodic capacity analysis on MIMO communications in internet of vehicles S Zhang, J Liu Mobile Networks and Applications 26, 923-939, 2021 | 3 | 2021 |
