Papers
3
Total Citations
35
H-Index
2
About
Jing Niu is a rising scholar at the intersection of artificial intelligence, robotics, and agricultural automation. Her research primarily explores how intelligent systems—from industrial robots to autonomous agricultural machinery—reshape economic and operational landscapes. Niu’s most cited work, “How artificial intelligence affects international industrial transfer — Evidence from industrial robot application” (2024, 30 citations), offers a timely econometric analysis of how AI-driven automation influences global manufacturing relocation, providing critical insights for policymakers and industry leaders navigating the Fourth Industrial Revolution. In parallel, Niu advances practical robotics for agriculture. Her 2025 study on multiobjective path optimization for plant protection robots, using an improved ACO-DWA algorithm, addresses the pressing challenge of deploying small-wheeled robots in nonstandard mountainous orchards, where large machinery fails. Her 2024 work on an enhanced A*-IWOA algorithm further tackles the energy constraints limiting robotic autonomy in the field. Together, these contributions demonstrate a rare ability to bridge macro-level economic impacts with micro-level engineering solutions. With a growing citation footprint and a focus on real-world deployment, Jing Niu is establishing herself as a key voice in the responsible, efficient integration of AI and robotics into both industry and sustainable agriculture.
Research Focus
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