Papers
2
Total Citations
32
H-Index
2
About
Rong Wen is a researcher specializing in augmented reality (AR) systems and image-guided surgical technologies, with a particular focus on enhancing human-machine interaction in robotic surgery. His work addresses fundamental limitations in traditional surgical guidance, including the reliance on single imaging modalities, two-dimensional anatomical visualization, and unintuitive control interfaces that can hinder surgical precision and efficiency. Among his most significant contributions is his development of tablet-based augmented reality frameworks that integrate multimodality imaging data with depth-perceived interaction for robot-assisted surgery, work that has garnered 27 citations and represents a meaningful step forward in intraoperative guidance technology. His earlier foundational research on visual guidance and control interfaces for AR robotic surgery, published in 2011, laid important groundwork for these later advances, demonstrating a sustained and evolving research trajectory in this specialized field. Wen's contributions are particularly valuable for the surgical robotics community, where improving surgeon situational awareness and control intuition can directly impact patient outcomes. His interdisciplinary approach — bridging medical imaging, computer vision, and human-computer interaction — makes his work highly relevant to students and researchers interested in the intersection of technology and clinical applications.
Research Focus
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Top Papers
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