Fengqi Song

Peking University

Papers

1

Total Citations

9

H-Index

1

About

Fengqi Song is a distinguished researcher in dental biomechanics and prosthodontics, with a primary focus on the accuracy and reliability of mandibular movement recording systems. His most cited work, "Investigation of the accuracy of dynamic condylar position: A model study" (2024, 9 citations), represents a significant contribution to understanding the precision of dynamic condylar positioning—a critical factor in the design of dental prostheses and the diagnosis of temporomandibular joint disorders. Song’s research addresses a key gap in the field by systematically evaluating the sources of error in dynamic recording devices, offering evidence-based recommendations for clinical practice. His work has been instrumental in advancing the integration of digital technologies into prosthodontic workflows, particularly in the context of computer-aided design and manufacturing (CAD/CAM) for dental restorations. With a growing citation record, Song is recognized for bridging the gap between engineering principles and clinical dentistry, and his findings are increasingly referenced by researchers seeking to improve the functional outcomes of dental treatments. His ongoing investigations continue to shape the standards for dynamic jaw tracking in both research and clinical settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Investigation of the accuracy of dynamic condylar position: A model study
9 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Peking University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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