Xiaoan Zhan

Papers

Total Citations

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About

Xiaoan Zhan is an emerging interdisciplinary researcher whose work spans the intersection of artificial intelligence, financial technology, and autonomous systems. With a focus on applied AI solutions, Zhan has made notable contributions to two distinct but increasingly converging domains: digital finance transformation and intelligent robotics perception. Zhan's most impactful work, "Driving Efficiency and Risk Management in Finance through AI and RPA," has garnered 15 citations since its 2024 publication, establishing him as a relevant voice in the conversation around robotic process automation and AI-driven corporate finance. This research critically addresses the limitations of traditional financial workflows and champions digital transformation strategies that enhance efficiency and mitigate risk — themes of growing urgency in today's data-driven economy. Complementing this, Zhan's research on 3D object detection using self-adaptive neural network thresholding reflects a strong technical command of autonomous robotics, tackling the persistent challenge of reliable object detection in dynamic, real-world urban environments. Though still early in his citation trajectory, Zhan's dual expertise positions him as a versatile researcher capable of bridging cutting-edge machine learning with practical, high-stakes applications in both finance and autonomous systems.