Allen Cheng
Papers
2
Total Citations
19
H-Index
2
About
Allen Cheng’s research bridges two distinct but impactful domains: robotic motion planning and head and neck surgical oncology. In robotics, Cheng advanced sampling-based planning with his work on bidirectional heuristic search and the extend operator, addressing the critical challenge of reducing computational effort in high-dimensional spaces where traditional methods offer only asymptotic guarantees. His 2019 paper on this topic has garnered attention for improving planning efficiency. In surgical oncology, Cheng made a notable contribution to the management of HPV-positive oropharyngeal carcinoma. His 2020 study on transoral robotic surgery and neck dissection, cited 15 times, demonstrated that nodal count is a significant predictor of survival, providing evidence to refine surgical approaches and improve patient outcomes. This work underscores his ability to translate technical innovations into clinical practice. With a total of 19 citations across his most-cited papers, Cheng’s interdisciplinary impact is evident, offering insights that benefit both roboticists and surgeons. His achievements highlight a career dedicated to solving complex problems where precision and efficiency are paramount.
Research Focus
Key Achievements
Top Papers
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- 2