Papers

4

Total Citations

28

H-Index

3

About

Xueding Wang is pioneering the fusion of photoacoustic imaging and robotics to transform rheumatology diagnostics. His core research focuses on developing automated, volumetric imaging systems that combine photoacoustic and Doppler ultrasound for detecting inflammatory arthritis—a condition affecting millions worldwide. Wang’s major contributions include creating a point-of-care device built on a GE HealthCare Vivid™ E95 platform, enabling automatic 3D imaging of human finger joints to assess soft tissue inflammation with high resolution and contrast. His most-cited work, a 2023 study on longitudinal volumetric assessment via photoacoustic and Doppler ultrasound, has garnered 15 citations, demonstrating growing interest in non-ionizing, scalable imaging for clinical translation. Wang has also advanced the field through a comprehensive review on photoacoustic imaging combined with robotics, and his latest 2025 paper on robotic arm-powered arc scans achieves volumetric ultrasound and photoacoustic imaging of arthritic joints. By integrating commercial-grade ultrasound systems with robotic precision, Wang is bridging the gap between emerging optical imaging techniques and routine clinical use, offering a non-invasive tool for early diagnosis and treatment monitoring in rheumatology clinics.

Research Focus

Key Achievements

3
H-Index
4
Papers
28
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Longitudinal volumetric assessment of inflammatory arthritis via photoacoustic imaging and Doppler ultrasound imaging
15 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Michigan–Ann Arbor, University of Burdwan

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago