Papers
1
Total Citations
2
H-Index
1
About
Jian Ma is a researcher whose work lies at the intersection of crowdsourcing, big data, and human-computer interaction. His key research areas focus on participatory crowdsourcing systems (PCS), where ordinary citizens collect and share environmental data using smart devices. Ma’s major contribution is developing the Robots-Aided Participatory Crowdsourcing framework, which addresses critical challenges in PCS, such as the limited range of human activities and the constrained capabilities of mobile devices. By integrating robotic agents into the data collection process, his work enhances the efficiency and coverage of crowdsourced data, even under limited task budgets. This approach has significant implications for large-scale environmental monitoring and smart city applications. While his most-cited paper, "Robots-Aided Participatory Crowdsourcing with Limited Task Budget" (2016), has garnered 2 citations, it represents an early and innovative step toward combining robotics with citizen science. Ma’s research is particularly relevant for students and researchers interested in scalable data collection methods, human-robot collaboration, and the practical deployment of IoT systems in resource-constrained environments.
Research Focus
Key Achievements
Top Papers
- 1Robots-Aided Participatory Crowdsourcing with Limited Task Budget2 citations · 2016