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 361–380 of 622 papers
Yu Fan, Yuxing Wang, Shimei Li
This study quantifies carbon sequestration and spatial equity of 20 urban parks in Linyi City using CASA and gravity models (2019-2024). Woody vegetation dominates carbon uptake; a Gini coefficient of 0.59 reveals extreme supply-demand imba…
Weihong Wu, Baoyi Lin
This paper analyzes MRV (Monitoring, Reporting, and Verification) systems for agricultural soil organic carbon in offset markets, addressing methodologies, uncertainty, and policy implications. It provides practical insights to enhance the …
Xu Chen, XUFENG WU, Peihua Han +1
This bibliometric review of textile industry carbon emissions (2005-2025) from Web of Science shows exponential growth since 2012, concentration in environmental journals, and rising focus on clean production and circular economy models, po…
Xiaowen Wang, Bowen Yu, Yì Wáng +2
This study analyzes the spatiotemporal evolution of farmland carbon effects (emissions, absorption, net sequestration) in Jiangsu, China from 2011-2021 using SBM, entropy-weighted TOPSIS, and GM(1,1) prediction. Results show an overall upwa…
Xiaoqian Che, Shaokun Li
This paper identifies four systemic challenges in forest carbon credit systems (subjective additionality, overestimated permanence, inadequate leakage accounting, neglected biophysical effects) and proposes a comprehensive accounting framew…
Ruiying Ren, K Zhang, Liang Qi +4
This review categorizes methods for monitoring carbon stock change at the individual-plant scale into three pathways: process-based, state-based, and sensing-based. It compares their theoretical bases and uncertainties, and proposes a struc…
Cuimin Feng, Yihao Li, Sairui Guan +2
This study calculates carbon emissions of a sludge dewatering facility using the emission factor method, covering construction and operation phases. Results show 1385.57 tCO2-eq in construction (materials dominant) and 19.38 tCO2-eq in oper…
Siqi Chang, Changchun Gao, Hanshen Li
This study develops a carbon-extended multi-dynamic interregional input-output shift-share framework to examine how structural dynamics reshape carbon emission responsibilities in China's power sector. Using provincial data for 31 provinces…
Jianqiang Li, Feiyun Zhang, Ao Ma +3
This study evaluates spatiotemporal dynamics of land-use carbon emissions and storage in Xinjiang using an integrated SD-PLUS-InVEST model. Historical trends (2000-2020) are analyzed, and future scenarios (2021-2060) under multiple SSP-RCP …
Daopeng Wang, Huan Liu, Jiaming Xu +2
This study investigates influencing factors and optimization pathways for embodied carbon emissions in prefabricated building materialization. Using field data from a large precast factory in western China, it develops a cloud entropy model…
Alessio Mastrucci, Dominik Maierhofer, X. Zhong +8
This study assesses carbon storage in global urban building stocks under future scenarios, focusing on structural wood and biochar-based concrete. Substituting with wood in 50% of new buildings could increase carbon storage by 0.4 GtCO2/yr …
Yan Zou, Yinlong Li, Zhijie Han
This paper proposes a hybrid WOA-GNN framework for reconstructing and forecasting carbon footprints and embodied carbon transfers in advanced manufacturing, applied to Western China. It demonstrates a data-driven approach for supply chain e…
Mohsen Nasrollahi, Davood Mostofinejad
This study applies experimental and response surface methodology (RSM) for multi-objective optimization of low-carbon high-performance concrete incorporating silica fume and slag. It optimizes compressive strength, durability, environmental…
Syed Minhaj Saleem Kazmi, Muhammad Junaid Munir, Yu-Fei Wu +2
This study evaluates high-strength, low-carbon concrete produced via compression casting, with full replacement of virgin aggregates by aeolian sand and recycled aggregates. Multiscale analysis demonstrates potential for low-carbon construc…
Emerson Porras, Walter Morales, Lidia Chang +1
This systematic review evaluates modular OSB/plywood housing as a low-carbon option in low-technification, seismic-prone settings. Structural performance is relatively mature, but digital fabrication and LCA evidence remain partial: most LC…
Guo H, Mingxiang Chi, Shibin Chen +3
This study evaluates the mechanical properties and carbon reduction potential of cement-stabilized macadam (CSM) incorporating recycled plastic aggregate (PA) as partial replacement for natural coarse aggregate. Life cycle assessment shows …
Ningning Xu, Yì Wáng, Fenglan Liang
This paper empirically examines how key audit matters (KAMs) related to low-carbon transformation influence firms' catering behavior in carbon information disclosure, using Chinese data. It finds that KAMs affect disclosure quality and quan…
Bing Xia, Jianzhuang Xiao, Michael Beer +1
This paper proposes a method linking structural safety and embodied carbon during service for low-carbon design of concrete structures under climate change, contributing to decarbonization in construction.
Fangning Sun
This study uses BIM to collect inventory and emission data from buildings, then applies correlation analysis and elastic net to select 8 design features affecting carbon emissions. An improved grey wolf optimization-based SVM (IGWO-SVM) mod…
J B Li, Y Q Li
This review analyzes quantification and management of greenhouse gas emissions in the building sector, covering the full lifecycle including Scopes 1, 2, and 3. It highlights innovative strategies such as intelligent grid energy management …
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