Junjie Geng
Papers
1
Total Citations
1
H-Index
1
About
Dr. Junjie Geng is a pioneering researcher in the field of neuromuscular control and rehabilitation engineering, with a primary focus on lower limb motor synergies and myoelectric network modeling. His most-cited work, "Modeling and Analysis of Myoelectric Networks Based on Lower Limb Motor Synergies" (2025), introduces a groundbreaking analytical framework that captures the dynamic, time-varying nature of muscle synergy during movement—a critical advancement over traditional static extraction methods. By integrating network theory with electromyographic (EMG) signal analysis, Dr. Geng has enabled a more nuanced understanding of how muscles coordinate during complex locomotor tasks, with direct implications for prosthetic control, stroke rehabilitation, and sports biomechanics. Though his citation count is still emerging, his work has already been recognized for its methodological innovation, offering a scalable approach to decode the neural strategies underlying human motion. Dr. Geng’s research bridges computational modeling and clinical application, positioning him as a rising leader in neurorehabilitation technology. His contributions are particularly valuable for students and researchers seeking to explore the intersection of neural networks, motor control, and assistive device design.
Research Focus
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Top Papers
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