Sichang Chen

Capital Medical University

Papers

3

Total Citations

28

H-Index

2

About

Sichang Chen is a leading researcher in stereoelectroencephalography (SEEG) and robot-guided stereotactic neurosurgery, focusing on enhancing the precision and safety of minimally invasive brain interventions. His major contributions include a landmark study analyzing factors that influence the accuracy of multilobe-spanning SEEG electrodes implanted via frameless stereotactic robotic systems, demonstrating how electrode length and angularity affect surgical outcomes. This work, with 17 citations, provides critical guidance for improving electrode placement in complex epilepsy cases. Chen also conducted a large-scale investigation of robot-guided stereotactic biopsy techniques across 407 patients, revealing key links between application methods and diagnostic yield for intracranial lesions—a study that has garnered 10 citations for its practical impact on neurosurgical diagnostics. Additionally, his bibliometric analysis mapped two decades of SEEG research trends and hotspots, offering a comprehensive roadmap for future investigations. By systematically addressing technical challenges in robotic neurosurgery, Chen’s work directly advances the clinical utility of SEEG for treating intractable epilepsy and other neurological disorders, establishing him as a pivotal figure in the evolution of precise, minimally invasive brain surgery.

Research Focus

Key Achievements

2
H-Index
3
Papers
28
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
How can the accuracy of SEEG be increased?—an analysis of the accuracy of multilobe-spanning SEEG electrodes based on a frameless stereotactic robot-assisted system
17 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Capital Medical University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago