Papers
9
Total Citations
206
H-Index
7
About
Jae Won Chang is a pioneering surgeon and researcher whose work has fundamentally advanced the field of robotic-assisted head and neck surgery. Specializing in minimally invasive surgical techniques, Chang has been instrumental in developing and refining remote-access approaches to thyroidectomy and neck dissection, sparing patients the visible scarring associated with traditional transcervical surgery. Chang's most influential contribution — his 2015 paper on robotic retroauricular thyroidectomy (62 citations) — helped establish the retroauricular approach as a viable evolution in surgical technique, building on earlier cadaveric feasibility work from 2011. His research on robot-assisted neck dissection across multiple cancer sites, including parotid and submandibular gland cancers, demonstrated that comprehensive oncological surgery could be achieved through hidden incisions without compromising outcomes. Notably, his 2014 study on the learning curve for robot-assisted neck dissection provided critical practical guidance for surgeons adopting these techniques. More recently, Chang has expanded into human-machine interface research, contributing to eye-tracking systems for robotic arm control — reflecting a broader commitment to advancing robotic technology beyond the operating room. With over 200 cumulative citations, his body of work represents a significant contribution to surgical innovation and patient-centered oncological care.
Research Focus
Key Achievements
Top Papers
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- 3Robotically assisted selective neck dissection in parotid gland cancer31 citations · 2012
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- 5Learning Curve for Robot-Assisted Neck Dissection in Head and Neck Cancer21 citations · 2014
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