Papers

2

Total Citations

23

H-Index

2

About

Xiuhong Wang is a researcher whose work sits at the intersection of agricultural technology, robotics, and intelligent systems. With a focus on advancing automation in agricultural contexts, Wang has made meaningful contributions to how modern farming challenges can be addressed through cutting-edge engineering and computational approaches. One of Wang's most recognized works, published in 2021, explores the use of technology knowledge graphs to generate innovative design recommendations for agricultural robots — a study that acknowledges the inherently multidisciplinary nature of agricultural robotics, requiring seamless integration of agricultural science, mechanical engineering, automation, and information technology. This paper has garnered 12 citations, reflecting its relevance to a growing community of researchers tackling precision agriculture challenges. Complementing this, Wang's 2020 study on mobile robot path planning introduces improvements to the widely used A* algorithm, contributing practical enhancements to how robots navigate complex environments — an essential capability for real-world agricultural deployment. With 11 citations, this work further demonstrates Wang's consistent impact in autonomous systems research. Together, these contributions position Xiuhong Wang as an emerging voice in intelligent agricultural robotics and robot navigation.

Research Focus

Key Achievements

2
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Technology Recommendations for an Innovative Agricultural Robot Design Based on Technology Knowledge Graphs
12 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Jiangsu University, Zhengzhou University of Aeronautics

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago