Papers
4
Total Citations
147
H-Index
3
About
Ge Wang is a pioneering researcher at the intersection of biomedical imaging, artificial intelligence, and emerging Web3 technologies. His primary research areas include computed tomography (CT) imaging, particularly ultrahigh-resolution clinical micro-CT, as well as decentralized autonomous organizations (DAOs) and neuromorphic computing. Wang’s most impactful contribution is his seminal work on Web3-based DAOs, which has garnered 129 citations and redefines organizational structures through blockchain-enabled architectures, models, and mechanisms. In medical imaging, he has advanced motion correction for robot-based photon-counting CT at ultrahigh resolution, addressing critical challenges in cochlear implantation and coronary stenosis assessment. His research on clinical micro-CT, empowered by interior tomography, robotic scanning, and deep learning, aims to bring micro-CT capabilities to human patients—a long-sought goal in preclinical imaging. Wang also explores neuromorphic circuits using memristors to create human-like robotic brains, bridging neuroscience and robotics. With a growing citation impact and work spanning from fundamental imaging physics to decentralized systems, Ge Wang is shaping the future of both healthcare and digital governance.
Research Focus
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