| Using crowdsourced data in location-based social networks to explore influence maximization JLZ Cai, M Yan, Y Li IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer …, 2016 | 202 | 2016 |
| Influence maximization by probing partial communities in dynamic online social networks M Han, M Yan, Z Cai, Y Li, X Cai, J Yu Transactions on Emerging Telecommunications Technologies 28 (4), e3054, 2017 | 94 | 2017 |
| Truthful incentive mechanisms for social cost minimization in mobile crowdsourcing systems Z Duan, M Yan, Z Cai, X Wang, M Han, Y Li Sensors 16 (4), 481, 2016 | 74 | 2016 |
| An exploration of broader influence maximization in timeliness networks with opportunistic selection M Han, M Yan, Z Cai, Y Li Journal of Network and Computer Applications 63, 39-49, 2016 | 69 | 2016 |
| Cognitive approach for location privacy protection M Han, L Li, Y Xie, J Wang, Z Duan, J Li, M Yan IEEE Access 6, 13466-13477, 2018 | 51 | 2018 |
| Load–balanced CDS construction in wireless sensor networks via genetic algorithm J He, S Ji, M Yan, Y Pan, Y Li International Journal of Sensor Networks 11 (3), 166-178, 2012 | 40 | 2012 |
| Neighborhood-based uncertainty generation in social networks M Han, M Yan, J Li, S Ji, Y Li Journal of Combinatorial Optimization 28, 561-576, 2014 | 39 | 2014 |
| Practical incentive mechanisms for IoT-based mobile crowdsensing systems Z Duan, L Tian, M Yan, Z Cai, Q Han, G Yin IEEE Access 5, 20383-20392, 2017 | 30 | 2017 |
| Genetic-algorithm-based construction of load-balanced CDSs in wireless sensor networks J He, S Ji, M Yan, Y Pan, Y Li 2011-MILCOM 2011 Military Communications Conference, 667-672, 2011 | 27 | 2011 |
| Semi-structure routing and analytical frameworks for cognitive radio networks S Ji, M Yan, R Beyah, Z Cai IEEE Transactions on Mobile Computing 15 (4), 996-1008, 2015 | 24 | 2015 |
| An efficient social event invitation framework based on historical data of smart devices C Ai, M Han, J Wang, M Yan 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud …, 2016 | 19 | 2016 |
| Generating uncertain networks based on historical network snapshots M Han, M Yan, J Li, S Ji, Y Li Computing and Combinatorics: 19th International Conference, COCOON 2013 …, 2013 | 19 | 2013 |
| Data aggregation scheduling in probabilistic wireless networks with cognitive radio capability M Yan, M Han, C Ai, Z Cai, Y Li 2016 IEEE global communications conference (GLOBECOM), 1-6, 2016 | 17 | 2016 |
| Minimum latency scheduling for multi-regional query in wireless sensor networks M Yan, J He, S Ji, Y Li 30th IEEE International Performance Computing and Communications Conference, 1-8, 2011 | 17 | 2011 |
| Data aggregation scheduling in wireless networks with cognitive radio capability M Yan, S Ji, M Han, Y Li, Z Cai 2014 Eleventh Annual IEEE International Conference on Sensing, Communication …, 2014 | 16 | 2014 |
| Near-complete privacy protection: Cognitive optimal strategy in location-based services M Han, J Wang, M Yan, C Ai, Z Duan, Z Hong Procedia Computer Science 129, 298-304, 2018 | 15 | 2018 |
| Voice and motion-based control system: Proof-of-concept implementation on robotics via internet-of-things technologies S He, A Zhang, M Yan Proceedings of the 2019 ACM southeast conference, 102-108, 2019 | 10 | 2019 |
| A partner-matching framework for social activity communities C Ai, W Zhong, M Yan, F Gu Computational Social Networks 1, 1-12, 2014 | 8 | 2014 |
| Multi‐regional query scheduling in wireless sensor networks with minimum latency M Yan, J He, S Ji, Y Li Wireless Communications and Mobile Computing 14 (9), 849-864, 2014 | 8 | 2014 |
| Time efficient data aggregation scheduling in cognitive radio networks M Yan, S Ji, Z Cai 2013 IEEE Global Communications Conference (GLOBECOM), 1185-1190, 2013 | 8 | 2013 |
Yingshu LiProfessor, Georgia State UniversityVerified email at gsu.edu
