Papers

2

Total Citations

222

H-Index

2

About

Chenxi Zhang is a pioneering researcher at the intersection of intelligent sensing systems and precision agriculture, with key contributions spanning triboelectric nanogenerators and deep learning-based computer vision. Zhang’s most impactful work includes the development of a tactile electronic skin that simultaneously detects and distinguishes temperature and pressure—a breakthrough for wearable technology and human-machine interfaces, garnering 141 citations. In parallel, Zhang advanced agricultural robotics by proposing an improved lightweight YOLOv4 method for apple object detection in complex orchard environments, addressing critical challenges like leaf occlusion and variable lighting. This work, with 81 citations, demonstrates practical applications of convolutional neural networks in precision agriculture, enabling more efficient fruit detection for autonomous picking robots. Zhang’s research uniquely bridges fundamental materials science with applied AI, achieving notable impact in both fields. Their work on electronic skin has been recognized for its potential in soft robotics and prosthetics, while the agricultural detection method offers scalable solutions for smart farming. With a growing citation record and interdisciplinary reach, Chenxi Zhang is establishing a reputation for translating cutting-edge sensor and vision technologies into real-world systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
222
Total Citations
111
Avg Citations/Paper
🏆 Most Cited Paper
Tactile electronic skin to simultaneously detect and distinguish between temperature and pressure based on a triboelectric nanogenerator
141 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Pearl River Hydraulic Research Institute, Beijing Forestry University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago