Zhuo Tan
Papers
1
Total Citations
143
H-Index
1
About
Dr. Zhuo Tan is a leading figure in environmental data science, whose work has revolutionized how we monitor and analyze air quality. His primary research focuses on big data analytics, multimodal data fusion, and the development of high-resolution environmental datasets. Dr. Tan’s most significant contribution is the creation of the Long-term Gap-free High-resolution Air Pollutant concentration dataset (LGHAP), a landmark achievement detailed in his highly cited 2022 paper (143 citations). This framework synergistically integrates diverse data streams—from satellite observations to ground-based monitoring—using tensor-flow-based methods to produce a seamless, continuous record of air pollution. The LGHAP dataset has become an indispensable resource for environmental management and Earth system science, enabling researchers to conduct long-term trend analyses and health impact studies that were previously impossible due to data gaps. This pioneering work has positioned Dr. Tan at the forefront of efforts to harness big data for pressing environmental challenges, providing a critical tool for scientists and policymakers worldwide.
Research Focus
Key Achievements
Top Papers
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