Papers

2

Total Citations

97

H-Index

2

About

Changxin Chen is a researcher whose work bridges agricultural robotics and flexible electronics, with a focus on computer vision and sensor technologies. His most impactful contribution lies in developing a mango picking vision algorithm that integrates instance segmentation and key point detection from RGB images in open orchards, a paper that has garnered 88 citations since 2021. This work addresses critical challenges in automated fruit harvesting, enabling robots to accurately identify and locate mangoes in complex, unstructured environments. More recently, Chen has advanced the field of wearable technology with his 2024 study on sensitive strain sensors featuring wide-range detection and high stability for intelligent human motion monitoring. While this paper is still accumulating citations (9 to date), it demonstrates his versatility in creating practical solutions for real-world applications, from precision agriculture to healthcare. Chen’s research is characterized by its direct applicability and interdisciplinary nature, combining deep learning with materials science to solve pressing problems. His work not only contributes to the growing body of knowledge in smart farming and human-machine interfaces but also inspires future innovations in autonomous systems and flexible electronics.

Research Focus

Key Achievements

2
H-Index
2
Papers
97
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
A mango picking vision algorithm on instance segmentation and key point detection from RGB images in an open orchard
88 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: South China Agricultural University, Shanghai Jiao Tong University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago