Papers
6
Total Citations
261
H-Index
5
About
Rongrong Li is a pioneering researcher whose work spans two transformative domains: Earth observation through satellite aerosol retrieval and the intersection of artificial intelligence, robotics, and environmental sustainability. Li’s most influential contribution is the development of the Dark Target aerosol algorithm, which exploits Moderate-Resolution Imaging Spectroradiometer (MODIS) observations to characterize the global aerosol system. This foundational work, published in 2020 and garnering 120 citations, has become a cornerstone for understanding atmospheric composition and climate dynamics. In a striking shift toward sustainability, Li’s 2025 study on artificial intelligence in the renewable energy transition, with 98 citations, critically examines how financial development enables AI-driven energy systems. Further exploring the nexus of technology and environment, Li’s research on industrial robots reveals their potential to reduce carbon intensity and urban emissions, while also probing the moderating roles of natural resource rents and corruption control. Earlier work includes comparative analyses of ocean color products from the Geostationary Ocean Color Imager (GOCI) and machine learning frameworks for software quality testing. Li’s interdisciplinary approach—bridging atmospheric science, robotics, and green finance—offers a compelling vision for leveraging technology to address global environmental challenges.
Research Focus
Key Achievements
Top Papers
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- 5Comparative Analysis of GOCI Ocean Color Products7 citations · 2015
- 6Software Quality Testing Framework based on Machine Learning Analysis4 citations · 2024