Duanduan Chen

Beijing Institute of Technology

Papers

4

Total Citations

49

H-Index

3

About

Duanduan Chen is a pioneering researcher at the intersection of neural engineering and robotic intervention, with key contributions in brain-machine interfaces (BMIs) and magnetic actuation for medical robotics. Her work on functional brain networks in schizophrenia, using EEG data, revealed increased local connectivity during facial processing—a finding that has garnered 24 citations and deepened understanding of neural dysfunction in psychiatric disorders. Chen also advanced BMI technology by integrating machine vision with dynamic augmented reality visual stimulation, achieving a 64% faster brain-controlled robot performance for tasks like object grasping, a breakthrough cited 15 times. In endovascular intervention, she developed and quantitatively evaluated magnetic robots as alternatives to traditional guidewires, with her 2024 study on performance evaluation (7 citations) and hierarchical governing-equation-based design (3 citations) setting new standards for precision in minimally invasive surgery. Her work bridges computational neuroscience and biomedical engineering, offering transformative tools for both clinical diagnosis and robotic-assisted therapy. Chen’s interdisciplinary approach continues to shape the future of intelligent medical systems.

Research Focus

Key Achievements

3
H-Index
4
Papers
49
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Increased local connectivity of brain functional networks during facial processing in schizophrenia: evidence from EEG data
24 citations · 2017
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Beijing Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago