| Resource scheduling in edge computing: A survey Q Luo, S Hu, C Li, G Li, W Shi IEEE Communications Surveys & Tutorials 23 (4), 2131-2165, 2021 | 376 | 2021 |
| A survey on routing protocols for large-scale wireless sensor networks C Li, H Zhang, B Hao, J Li Sensors 11 (4), 3498-3526, 2011 | 240 | 2011 |
| Capacity of cooperative vehicular networks with infrastructure support: Multiuser case J Chen, G Mao, C Li, W Liang, D Zhang IEEE Transactions on Vehicular Technology 67 (2), 1546-1560, 2017 | 215 | 2017 |
| A decision-making strategy for vehicle autonomous braking in emergency via deep reinforcement learning Y Fu, C Li, FR Yu, TH Luan, Y Zhang IEEE transactions on vehicular technology 69 (6), 5876-5888, 2020 | 139 | 2020 |
| Collaborative data scheduling for vehicular edge computing via deep reinforcement learning Q Luo, C Li, TH Luan, W Shi IEEE Internet of Things Journal 7 (10), 9637-9650, 2020 | 137 | 2020 |
| A survey of blockchain and intelligent networking for the metaverse Y Fu, C Li, FR Yu, TH Luan, P Zhao, S Liu IEEE Internet of Things Journal 10 (4), 3587-3610, 2022 | 133 | 2022 |
| Vehicle position correction: A vehicular blockchain networks-based GPS error sharing framework C Li, Y Fu, FR Yu, TH Luan, Y Zhang IEEE Transactions on Intelligent Transportation Systems 22 (2), 898-912, 2020 | 129 | 2020 |
| Performance evaluation of IEEE 802.15. 4 for wireless body area network (WBAN) C Li, HB Li, R Kohno 2009 IEEE International conference on communications workshops, 1-5, 2009 | 127 | 2009 |
| Vehicular blockchain-based collective learning for connected and autonomous vehicles Y Fu, FR Yu, C Li, TH Luan, Y Zhang Ieee wireless communications 27 (2), 197-203, 2020 | 109 | 2020 |
| A survey of driving safety with sensing, vehicular communications, and artificial intelligence-based collision avoidance Y Fu, C Li, FR Yu, TH Luan, Y Zhang IEEE transactions on intelligent transportation systems 23 (7), 6142-6163, 2021 | 108 | 2021 |
| Bee-sensor-C: an energy-efficient and scalable multipath routing protocol for wireless sensor networks X Cai, Y Duan, Y He, J Yang, C Li International Journal of Distributed Sensor Networks 11 (3), 976127, 2015 | 103 | 2015 |
| A mobility-aware vehicular caching scheme in content centric networks: Model and optimization Y Zhang, C Li, TH Luan, Y Fu, W Shi, L Zhu IEEE Transactions on Vehicular Technology 68 (4), 3100-3112, 2019 | 102 | 2019 |
| Minimizing the delay and cost of computation offloading for vehicular edge computing Q Luo, C Li, TH Luan, W Shi IEEE Transactions on Services Computing 15 (5), 2897-2909, 2021 | 100 | 2021 |
| A topological approach to secure message dissemination in vehicular networks J Chen, G Mao, C Li, D Zhang IEEE Transactions on Intelligent Transportation Systems 21 (1), 135-148, 2019 | 99 | 2019 |
| Development trends of mobile communication systems for railways R Chen, WX Long, G Mao, C Li IEEE Communications Surveys & Tutorials 20 (4), 3131-3141, 2018 | 91 | 2018 |
| AI for UAV-assisted IoT applications: A comprehensive review N Cheng, S Wu, X Wang, Z Yin, C Li, W Chen, F Chen IEEE Internet of Things Journal 10 (16), 14438-14461, 2023 | 88 | 2023 |
| LSGO: link state aware geographic opportunistic routing protocol for VANETs X Cai, Y He, C Zhao, L Zhu, C Li EURASIP Journal on wireless communications and networking 2014, 1-10, 2014 | 85 | 2014 |
| Self-learning based computation offloading for internet of vehicles: Model and algorithm Q Luo, C Li, TH Luan, W Shi, W Wu IEEE Transactions on Wireless Communications 20 (9), 5913-5925, 2021 | 78 | 2021 |
| Throughput of infrastructure-based cooperative vehicular networks J Chen, G Mao, C Li, A Zafar, AY Zomaya IEEE Transactions on Intelligent Transportation Systems 18 (11), 2964-2979, 2017 | 71 | 2017 |
| 6G network AI architecture for everyone-centric customized services Y Yang, M Ma, H Wu, Q Yu, X You, J Wu, C Peng, TSP Yum, AH Aghvami, ... IEEE Network 37 (5), 71-80, 2022 | 69 | 2022 |