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20212026
most citedFoundation Models for Environmental Science: A Survey of Emerging Frontiers

1 citations · 4 across the 17 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

BrainPuzzle: Hybrid Physics and Data-Driven Reconstruction for Transcranial Ultrasound Tomography

Shengyu Chen, Shihang Feng, Yi Luo +2

Ultrasound brain imaging remains challenging due to the large difference in sound speed between the skull and brain tissues and the difficulty of coupling large probes to the skull…

cs.LG2025

Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales

Shiyuan Luo, Runlong Yu, Shengyu Chen +4

Understanding environmental ecosystems is vital for the sustainable management of our planet. However,existing physics-based and data-driven models often fail to generalize to vary…

cs.LG2025

X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI

Yiming Sun, Shuo Chen, Shengyu Chen +9

Methane (CH) is the second most powerful greenhouse gas after carbon dioxide and plays a crucial role in climate change due to its high global warming potential. Accurately mod…

cs.LG2025★ 1 cited

Foundation Models for Environmental Science: A Survey of Emerging Frontiers

Runlong Yu, Shengyu Chen, Yiqun Xie +3

Modeling environmental ecosystems is essential for effective resource management, sustainable development, and understanding complex ecological processes. However, traditional data…

cs.LG2025

A Survey of Foundation Models for Environmental Science

Runlong Yu, Shengyu Chen, Yiqun Xie +1

Modeling environmental ecosystems is essential for effective resource management, sustainable development, and understanding complex ecological processes. However, traditional meth…