| RAQ–A random forest approach for predicting air quality in urban sensing systems R Yu, Y Yang, L Yang, G Han, OA Move Sensors 16 (1), 86, 2016 | 173 | 2016 |
| Particle classification optimization-based BP network for telecommunication customer churn prediction R Yu, X An, B Jin, J Shi, OA Move, Y Liu Neural Computing and Applications 29, 707-720, 2018 | 69 | 2018 |
| A location cloaking algorithm based on combinatorial optimization for location-based services in 5G networks R Yu, Z Bai, L Yang, P Wang, OA Move, Y Liu IEEE Access 4, 6515-6527, 2016 | 44 | 2016 |
| CFFNN: Cross feature fusion neural network for collaborative filtering R Yu, D Ye, Z Wang, B Zhang, AM Oguti, J Li, B Jin, F Kurdahi IEEE Transactions on Knowledge and Data Engineering 34 (10), 4650-4662, 2021 | 31 | 2021 |
| Towards a privacy-preserving smart contract-based data aggregation and quality-driven incentive mechanism for mobile crowdsensing R Yu, AM Oguti, DR Ochora, S Li Journal of Network and Computer Applications 207, 103483, 2022 | 17 | 2022 |
| PAG-TSN: Ridership Demand Forecasting Model for Shared Travel Services of Smart Transportation J Li, F Lin, G Han, Y Wang, R Yu, AM Oguti, Z Li IEEE Transactions on Intelligent Transportation Systems, 2023 | 2 | 2023 |
| Blockchain-based solutions for mobile crowdsensing: A comprehensive survey R Yu, AM Oguti, MS Obaidat, S Li, P Wang, KF Hsiao Computer Science Review 50, 100589, 2023 | 1 | 2023 |
| MARACrowd: A multi-attribute reverse auction for task allocation in blockchain-based mobile crowdsensing AM Oguti, R Yu, DR Ochora, S Li, P Wang 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable …, 2022 | 1 | 2022 |
