Papers

1

Total Citations

3

H-Index

1

About

Xiangci Yan is a researcher at the forefront of medical robotics, with a primary focus on advancing the localization and control of wireless endoscopic capsules. Yan’s most-cited work, "Pose tracking method using magnetic excitations with frequency division for robotic endoscopic capsules" (2022), introduces a novel approach to real-time, six-degree-of-freedom pose estimation by leveraging frequency-divided magnetic fields. This contribution addresses a critical bottleneck in gastrointestinal diagnostics—enabling precise, non-invasive tracking of ingestible devices without bulky onboard sensors. With 3 citations, this paper has already sparked interest in the field, laying groundwork for more autonomous and targeted drug delivery or biopsy procedures. Yan’s research sits at the intersection of electromagnetic theory, sensor fusion, and minimally invasive surgery, promising to enhance patient outcomes through smarter, more reliable capsule robots. Their work is particularly notable for its potential to bridge the gap between lab prototypes and clinical deployment, offering a scalable solution for next-generation medical endoscopy.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Pose tracking method using magnetic excitations with frequency division for robotic endoscopic capsules
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Shanghai for Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago