Papers

24

Total Citations

577

H-Index

11

About

Qinghua Yang is a pioneering robotics researcher whose work bridges agricultural automation and soft robotics — two of the most consequential frontiers in modern engineering. With a career spanning nearly two decades, Yang has made foundational contributions to the development of robotic systems for crop harvesting, intelligent fruit recognition, and compliant soft actuators capable of handling delicate biological objects. Yang's early work on cucumber recognition in greenhouse environments (2007) laid important groundwork for vision-guided agricultural robots, while a 2016 multi-template matching algorithm advanced real-world deployment in natural settings. His 2023 review of core agricultural robot technologies, already garnering 92 citations, reflects his sustained authority in the field. Perhaps most indicative of his broad influence is his 2018 bibliometric analysis of soft robotics, which has amassed over 200 citations and remains a widely referenced scholarly resource for mapping the discipline's growth. Beyond reviews, Yang has contributed original hardware innovations, including a trunk-inspired pneumatic soft actuator, a webbed soft gripper for fragile object handling, and flexible end-effectors tailored for agricultural use. His research reflects a coherent vision: making robots gentle, adaptable, and genuinely useful in the messy complexity of real-world agricultural environments.

Research Focus

Key Achievements

11
H-Index
24
Papers
577
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis
202 citations · 2018
📈 Most Prolific Year: 2009 (5 Papers)
🤝 Key Collaborators: 56
🏛 Institutions: Zhejiang University of Technology, Ministry of Education

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago