11 citations as recorded by crossref.

1. Improving economic impact assessment of climate change with machine learning A. Orlov & J. Sillmann https://doi.org/10.1038/s41467-026-73956-7
2. Challenges and innovations in the economic evaluation of the risks of climate change J. Rising et al. https://doi.org/10.1016/j.ecolecon.2022.107437
3. Emulating the Global Change Analysis Model with deep learning: An energy sector case study A. Holmes et al. https://doi.org/10.1016/j.envsoft.2026.106945
4. Uncertainty constraints on economic impact assessments of climate change simulated by an impact emulator H. Shiogama et al. https://doi.org/10.1088/1748-9326/aca68d
5. Assessing socioeconomic risks of climate change through integrated modelling J. Chang et al. https://doi.org/10.59717/j.xinn-energy.2026.100140
6. Emergent constraints on future change projections of mean and extreme temperature and precipitation in the global maize harvesting area H. Shiogama et al. https://doi.org/10.1088/1748-9326/ae3194
7. Climate change mitigation costs reduction caused by socioeconomic-technological transitions S. Fujimori et al. https://doi.org/10.1038/s44168-023-00041-w
8. IMPACTS OF CLIMATE CHANGE MITIGATION ON POVERTY, CONSIDERING CLIMATE CHANGE IMPACTS BY INCOME GROUP Y. MARUTA et al. https://doi.org/10.2208/jscejj.24-27004
9. Emergent Constraints on Future Changes in Several Climate Variables and Extreme Indices from Global to Regional Scales H. Shiogama et al. https://doi.org/10.2151/sola.2024-017
10. ANALYSIS OF CLIMATE CHANGE IMPACTS AND MITIGATION MEASURES ON GLOBAL POVERTY Y. MARUTA et al. https://doi.org/10.2208/jscejj.23-27040
11. Integration of a computable general equilibrium model with an energy system model: Application of the AIM global model S. Fujimori et al. https://doi.org/10.1016/j.envsoft.2024.106087