Jian‐Hong Wang
Papers
4
Total Citations
60
H-Index
3
About
Jian-Hong Wang is a pioneering researcher at the intersection of virtual reality (VR), augmented reality (AR), human–robot interaction, and smart robotics. His work explores how immersive technologies can transform human–robot collaboration, particularly in metaverse and hospitality applications. Wang’s most cited paper, “Anti-aliasing convolution neural network of finger vein recognition for VR human–robot equipment of metaverse” (35 citations), introduces a novel deep learning approach to secure biometric authentication in virtual environments, advancing safety in metaverse robotics. He also developed an AR-enhanced Pokémon-Go robot system (12 citations) to boost customer engagement in hospitality settings, and a VR human–robot interaction technology acceptance model (10 citations) for educational contexts, helping learners grasp direct current and alternating current concepts. Additionally, Wang proposed a fault-tolerant content list management unit for media servers in smart robot domains, addressing reliability in real-time streaming for robotic claw machines. With a growing citation impact and a focus on practical, user-centered robotics, Wang’s contributions are shaping the future of immersive, interactive, and secure human–robot systems.
Research Focus
Key Achievements
Top Papers
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