Papers
1
Total Citations
18
H-Index
1
About
Jianjun Feng is a pioneering researcher in pediatric robotic surgery, with a focused expertise in surgical workload assessment and human factors in minimally invasive procedures. His most-cited work, "Validation and effect of the NASA-TLX score on the assessment of the workload of pediatric robotic operations" (2023, 18 citations), represents a significant contribution to the field by systematically validating the NASA Task Load Index as a reliable tool for measuring surgeon cognitive and physical demands during complex pediatric robotic surgeries. This research directly addresses a critical gap in understanding how operative workload impacts surgical performance and patient outcomes in children, offering practical frameworks for optimizing surgical team dynamics and equipment design. Feng's work has been instrumental in advancing the safety and efficiency of robotic-assisted pediatric procedures, with his citation impact reflecting growing recognition of the importance of ergonomic considerations in surgical innovation. His findings are increasingly referenced by surgical training programs and hospital systems seeking to reduce surgeon fatigue and improve procedural outcomes, establishing him as a key voice in the intersection of pediatric surgery, robotics, and human factors engineering.
Research Focus
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Top Papers
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