Papers
4
Total Citations
30
H-Index
3
About
Qilong Wang is a researcher at the intersection of surgical robotics, biomechanics, and agricultural automation. His primary contributions lie in advancing robot-assisted spinal surgery, particularly through systematic evaluations of robotic systems for pedicle screw insertion. Wang’s Bayesian network meta-analysis (2023, 12 citations) provides critical insights into the comparative accuracies of various spinal robots, offering evidence-based guidance for clinical adoption. He has also investigated the thermal effects of robot-assisted ultrasonic osteotomes on vertebral bone (2020, 10 citations), characterizing how drilling speed and ultrasonic parameters influence bone temperature and penetration time—a key safety consideration in spine surgery. Beyond the operating room, Wang applies deep learning to agricultural robotics, developing portable equipment for kiwi variety classification using transfer learning (2021, 5 citations). His recent work on the TIANJI Robot system (2024) explores how optical navigation variables impact surgical accuracy, further refining the precision of autonomous surgical tools. With a growing citation record and contributions spanning clinical meta-analysis, experimental biomechanics, and agricultural AI, Wang’s interdisciplinary research demonstrates a commitment to improving both surgical outcomes and automated agricultural systems.
Research Focus
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Top Papers
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