| A cooperative partial computation offloading scheme for mobile edge computing enabled Internet of Things Z Ning, P Dong, X Kong, F Xia IEEE Internet of Things Journal 6 (3), 4804-4814, 2018 | 532 | 2018 |
| Vehicular social networks: Enabling smart mobility Z Ning, F Xia, N Ullah, X Kong, X Hu IEEE Communications Magazine 55 (5), 16-55, 2017 | 367 | 2017 |
| A survey of collaborative filtering-based recommender systems: From traditional methods to hybrid methods based on social networks R Chen, Q Hua, YS Chang, B Wang, L Zhang, X Kong IEEE access 6, 64301-64320, 2018 | 344 | 2018 |
| Urban traffic congestion estimation and prediction based on floating car trajectory data X Kong, Z Xu, G Shen, J Wang, Q Yang, B Zhang Future Generation Computer Systems 61, 97-107, 2016 | 299 | 2016 |
| Academic social networks: Modeling, analysis, mining and applications X Kong, Y Shi, S Yu, J Liu, F Xia Journal of Network and Computer Applications 132, 86-103, 2019 | 284 | 2019 |
| Random walks: A review of algorithms and applications F Xia, J Liu, H Nie, Y Fu, L Wan, X Kong IEEE Transactions on Emerging Topics in Computational Intelligence 4 (2), 95-107, 2019 | 280 | 2019 |
| Artificial intelligence in the 21st century J Liu, X Kong, F Xia, X Bai, L Wang, Q Qing, I Lee Ieee Access 6, 34403-34421, 2018 | 276 | 2018 |
| Realizing the potential of the internet of things for smart tourism with 5G and AI W Wang, N Kumar, J Chen, Z Gong, X Kong, W Wei, H Gao IEEE network 34 (6), 295-301, 2020 | 255 | 2020 |
| Scientific paper recommendation: A survey X Bai, M Wang, I Lee, Z Yang, X Kong, F Xia Ieee Access 7, 9324-9339, 2019 | 235 | 2019 |
| LoTAD: Long-term traffic anomaly detection based on crowdsourced bus trajectory data X Kong, X Song, F Xia, H Guo, J Wang, A Tolba World Wide Web 21, 825-847, 2018 | 196 | 2018 |
| Green and sustainable cloud of things: Enabling collaborative edge computing Z Ning, X Kong, F Xia, W Hou, X Wang IEEE Communications Magazine 57 (1), 72-78, 2018 | 195 | 2018 |
| Vehicle trajectory clustering based on dynamic representation learning of internet of vehicles W Wang, F Xia, H Nie, Z Chen, Z Gong, X Kong, W Wei IEEE Transactions on Intelligent Transportation Systems 22 (6), 3567-3576, 2020 | 170 | 2020 |
| Deep reinforcement learning for intelligent internet of vehicles: An energy-efficient computational offloading scheme Z Ning, P Dong, X Wang, L Guo, JJPC Rodrigues, X Kong, J Huang, ... IEEE Transactions on Cognitive Communications and Networking 5 (4), 1060-1072, 2019 | 166 | 2019 |
| Exploring human mobility patterns in urban scenarios: A trajectory data perspective F Xia, J Wang, X Kong, Z Wang, J Li, C Liu IEEE Communications Magazine 56 (3), 142-149, 2018 | 163 | 2018 |
| Phone2Cloud: Exploiting computation offloading for energy saving on smartphones in mobile cloud computing F Xia, F Ding, J Li, X Kong, LT Yang, J Ma Information Systems Frontiers 16, 95-111, 2014 | 160 | 2014 |
| Time-location-relationship combined service recommendation based on taxi trajectory data X Kong, F Xia, J Wang, A Rahim, SK Das IEEE Transactions on Industrial Informatics 13 (3), 1202-1212, 2017 | 155 | 2017 |
| Mobility dataset generation for vehicular social networks based on floating car data X Kong, F Xia, Z Ning, A Rahim, Y Cai, Z Gao, J Ma IEEE Transactions on Vehicular Technology 67 (5), 3874-3886, 2018 | 153 | 2018 |
| Edge computing for internet of everything: A survey X Kong, Y Wu, H Wang, F Xia IEEE Internet of Things Journal 9 (23), 23472-23485, 2022 | 150 | 2022 |
| Vehicular social networks: A survey A Rahim, X Kong, F Xia, Z Ning, N Ullah, J Wang, SK Das Pervasive and Mobile Computing 43, 96-113, 2018 | 148 | 2018 |
| Mobile crowdsourcing in smart cities: Technologies, applications, and future challenges X Kong, X Liu, B Jedari, M Li, L Wan, F Xia IEEE Internet of Things Journal 6 (5), 8095-8113, 2019 | 146 | 2019 |
Feng XiaProfessor, School of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
