Papers

2

Total Citations

9

H-Index

2

About

Dong Nie is a researcher whose work spans the intersection of medical physics and autonomous robotics, with a focus on advancing precision in radiation therapy and multi-robot service coordination. In a notable proof-of-concept study published in 2021, Nie demonstrated the feasibility of generating synthetic digital reconstructed radiographs for MR-only robotic stereotactic radiation therapy—a contribution that eliminates the need for CT scans in certain workflows, reducing patient radiation exposure and streamlining treatment planning. This work, which has garnered 5 citations, underscores Nie’s impact on improving clinical efficiency in oncology. Earlier, in 2019, Nie tackled the challenge of scheduling autonomous mobile robots in dense service environments by proposing the Circular Area Search (CAS) algorithm. This algorithm, built on a Service-Oriented Architecture (SOA) cloud platform, optimizes task allocation when multiple robots with specialized functions operate in high-density regions—a key advance for logistics and service robotics. With 4 citations, this work highlights Nie’s versatility in bridging theoretical algorithms and practical deployment. Together, these contributions reflect a career dedicated to solving complex, real-world problems through innovative computational and engineering approaches.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Synthetic digital reconstructed radiographs for MR-only robotic stereotactic radiation therapy: A proof of concept
5 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Imaging Center, Tianjin University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago