This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 41–41 of 41 papers
Qiannan Ding
This study provides a global 5-km spatial assessment of fishery-photovoltaic integration (solar panels on aquaculture ponds and tidal flats). After excluding areas constrained by environmental protection, biodiversity, topography, and grid …
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