Xiaoling Zhang

City University of Hong Kong, Chengdu University of Information Technology, Tianjin University of Technology

Papers

Total Citations

245

H-Index

About

Dr. Xiaoling Zhang is a pioneering researcher whose work bridges the critical fields of environmental monitoring and intelligent robotics. Her most significant contributions lie in the application of computer vision and artificial intelligence to solve pressing real-world problems. Dr. Zhang’s landmark study on a “Construction waste recycling robot for nails and screws” (2018, 206 citations) is a standout achievement, demonstrating a novel integration of neural networks and machine vision to automate recycling processes, directly addressing sustainability in the construction industry. This highly influential work showcases her ability to deploy advanced AI for tangible environmental benefits. In parallel, Dr. Zhang has made impactful contributions to air quality monitoring, notably through her research on synergizing AERONET and MODIS satellite data to estimate PM2.5 concentrations in Beijing (2018, 31 citations). This work is crucial for improving the accuracy of satellite-based pollution tracking. Her foundational research also includes pioneering studies on mobile robot navigation, exploring artificial potential fields and ant colony optimization algorithms for path planning. Through this diverse portfolio, Dr. Zhang demonstrates a unique capacity to apply computational intelligence across both environmental science and autonomous systems, establishing her as an innovator at the intersection of technology and sustainability.