Ziyu Xu
Papers
1
Total Citations
8
H-Index
1
About
Ziyu Xu is a researcher at the forefront of artificial intelligence and its economic implications, with a particular focus on the manufacturing sector. Their most-cited work, "The Influence of Robot‐Assisted Industry Using Deep Learning on the Economic Growth Rate of Manufacturing Industry in the Era of Artificial Intelligence" (2022, 8 citations), systematically examines how AI-driven automation reshapes national economic growth. In this influential study, Xu identifies four key mechanisms—penetration effect, boundary extension effect, knowledge creation effect, and self-deepening effect—through which AI impacts manufacturing productivity and economic output. By bridging deep learning applications with macroeconomic analysis, Xu provides a framework for understanding how nations can leverage AI for high-quality economic development. This work has been cited by scholars exploring the intersection of industrial robotics, economic policy, and technological innovation. Xu’s research offers valuable insights for policymakers and industry leaders navigating the transformative potential of AI in traditional manufacturing sectors. Their contributions highlight the critical role of deep learning in driving sustainable economic growth in an increasingly automated world.
Research Focus
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Top Papers
- 1