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 181–182 of 182 papers
Shift2Zero Partners
This deliverable documents user-centered requirements elicitation for Shift2Zero innovations, collecting data from 87 interviews, 8 workshops, a survey of 512 participants, and simulations. It defines 181 technical requirements for electric…
Guo-Ying Han, Zonglin Li
This review systematically structures EV sales research from 2016-2025, selecting 194 papers from 1518 records. It develops a macro-meso-micro framework for determinants and finds econometric models dominant (54%) but machine learning (18%)…
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