GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing 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.

📊 SNE Research Profile →🔬 Researcher API →About gxceed →🇯🇵 日本語版
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Showing 20461–20480 of 36021 papers

Peer-reviewedJournalJournal of Environmental Management2026#Climate ScienceDOI

From ecological foundations to nature-based solutions: A semantic-temporal scientometric analysis of urban expansion and green space research

Ashish Suman, Anirban Mukhopadhyay, P.K. Joshi

This paper conducts a semantic-temporal scientometric analysis of literature on urban expansion and green space, revealing a paradigm shift from ecological foundations to nature-based solutions. It summarizes research trends and provides in…

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Peer-reviewedJournalHydrology2026#Climate RiskDOI

Index-Based Vulnerability Assessment—A Multi-Dimensional Index as a Tool for Capturing the Effects of Nature-Based Solutions for Flood Mitigation

Jelena Kovačević-Majkić, Nikola Rosic, Dragoljub Štrbac +2

This study proposes M-FLOVI, a multi-dimensional flood vulnerability index tailored to capture the impacts of nature-based solutions (NbS). Applied in the Tamnava River Basin, Serbia, it quantifies vulnerability reductions from NbS such as …

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Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalSustainability Science2026#PolicyDOI

Integrating evidence of the health benefits of nature-based solutions into urban climate policies: the case of Kawasaki, Japan

Tetsuro Yoshida, Eric Zusman

This paper examines how to integrate the health benefits of nature-based solutions (NbS) into urban climate policies, using Kawasaki, Japan as a case study. It proposes a framework for reflecting synergies between climate adaptation and hea…

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Peer-reviewedJournalJournal of Sustainable Development2026#OtherDOI

Nature-Based Solutions in Enhancing Well-being of Urban Cities in Nigeria

Olufunmilola A. Obakin, Oluranti M. Oladunmoye, Ireoluwa D. Olukayode +3

This study investigates architectural Nature-Based Solutions (NbS) in Ibadan, Nigeria, using a mixed-methods survey of 287 residents. Residents recognize NbS for thermal comfort and stress reduction but cite unequal access and governance ch…

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Peer-reviewed🌍 GlobalJournalIET conference proceedings.2026#CCUSDOI

Advanced machine learning framework for accurate and interpretable CO <sub>2</sub> capture predictions in porous carbon materials

Bonugu Dimple, Rama Rao Karri, Kunal Achintya Reddy +3

This study proposes a machine learning framework (GBDT, XGBoost, LightGBM, stacking ensembles) to predict CO2 uptake of biomass-derived porous carbon materials. The RF+SVR stacking model achieved high predictive accuracy and identified key …

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Peer-reviewed🇨🇳 ChinaJournalSustainable Cities and Society2026#AI × ESGDOI

Corrigendum to “Collaboratively optimize of multi-scale spatial form within urban blocks for low-carbon performance: A machine learning-driven design support framework” [Sustainable Cities and Society, 143 (2026), 107342]

G Li, Hongxin Guo, Jian Kang +5

This corrigendum refers to a framework that uses machine learning to optimize multi-scale spatial forms within urban blocks for low-carbon performance. It analyzes the relationship between building morphology and energy consumption, aiding …

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