Linghong Zhou

Southern Medical University, University of Lincoln

Papers

2

Total Citations

16

H-Index

2

About

Linghong Zhou is a researcher at the forefront of precision imaging and sensor calibration, with a focus on enhancing the accuracy and accessibility of robotic and diagnostic systems. Their primary research areas include computed tomography (CT) imaging calibration, robotic system integration, and open-source sensor development. Zhou’s most notable contribution is the development of a knowledge-based self-calibration method for calibration phantoms, specifically designed to improve the accuracy of robot-based CT imaging systems. This work, published in 2021 with 14 citations, addresses a critical challenge in medical imaging by enabling autonomous, high-precision calibration without manual intervention. Additionally, Zhou pioneered an open-source calibration platform for whisker sensors using 3D printing technology in 2024, demonstrating a commitment to democratizing research tools and reducing costs for sensor development. This platform has already garnered 2 citations and represents a significant step toward accessible, reproducible sensor calibration. Zhou’s work bridges the gap between theoretical calibration algorithms and practical, low-cost hardware solutions, making a tangible impact on both clinical imaging and robotics research. Their achievements underscore a dedication to precision, innovation, and open science.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Knowledge-based self-calibration method of calibration phantom by and for accurate robot-based CT imaging systems
14 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Southern Medical University, University of Lincoln

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago