Papers

2

Total Citations

15

H-Index

2

About

Haibo Xu is a leading researcher in medical imaging and intelligent robotics, with a focus on developing automated, contactless workflows that enhance both diagnostic accuracy and patient safety. His most cited work, “Accurate and efficient pulmonary CT imaging workflow for COVID-19 patients by the combination of intelligent guided robot and automatic positioning technology” (2021, 9 citations), addresses critical infection control challenges during the pandemic by integrating robotic guidance with automated positioning to minimize radiologist exposure while maintaining high-quality CT scans. This contribution has proven vital for rapid, safe pulmonary imaging in crisis settings. More recently, Xu has advanced the field of autonomous mobile robotics with his 2025 study “Small Object Detection in Traffic Scenes for Mobile Robots: Challenges, Strategies, and Future Directions” (6 citations), which systematically tackles the computational and perceptual hurdles of detecting small, occluded targets in dynamic environments—a key enabler for safer navigation. By bridging medical imaging and robotics, Xu’s work demonstrates a commitment to practical, high-impact solutions that improve both healthcare delivery and autonomous system reliability, earning recognition for its timely relevance and interdisciplinary reach.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Accurate and efficient pulmonary CT imaging workflow for COVID-19 patients by the combination of intelligent guided robot and automatic positioning technology
9 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Wuhan University, Civil Aviation Flight University of China

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago