Papers

2

Total Citations

17

H-Index

2

About

Bowen Jin is a rising researcher at the intersection of soft robotics and precision agriculture, whose work bridges innovative materials science with real-world agricultural technology. His research primarily focuses on two key areas: the development of soft micromotors with dynamic shape-reconfiguration capabilities, and the application of computer vision and deep learning for intelligent agricultural systems. In his notable 2024 paper on soft micromotors, Jin introduced a novel approach to achieving fast, controllable motion at the microscale through 3D-to-3D shape reconfiguration—a significant advancement for applications in micro-mixing, sorting, and targeted transport. This work has already garnered 9 citations, reflecting its early impact in the field of soft robotics. Simultaneously, Jin is making strides in Agriculture 4.0, where his 2024 paper on an intelligent vineyard blade density measurement method employs a lightweight vision transformer to enable real-time, automated spraying based on plant leaf density. With 8 citations, this work demonstrates his ability to translate complex computational models into practical solutions for precision agriculture. Bowen Jin’s dual expertise positions him as a versatile innovator, contributing to both fundamental micro-robotics and applied agricultural technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Soft Micromotors with Switchable Motion Enabled by 3D-to-3D Shape Reconfiguration
9 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: ShanghaiTech University, Fujian Agriculture and Forestry University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago