Browse by Author

Article

Marginean, I., Crespo Cuaresma, J., Hoffmann, R., Muttarak, R. ORCID: https://orcid.org/0000-0003-0627-4451, Gao, J. & Daloz, A.S. (2024). High‐Resolution Modeling and Projecting Local Dynamics of Differential Vulnerability to Urban Heat Stress. Earth's Future 12 (10), e2024EF004431. 10.1029/2024EF004431.

Yu, Y., Bo, Y., Castelletti, A., Dumas, P., Gao, J., Cai, X., Liu, J., Kahil, T. ORCID: https://orcid.org/0000-0002-7812-5271, Wada, Y. ORCID: https://orcid.org/0000-0003-4770-2539, Hu, S., Liu, B., Zhou, F. & Zhao, J. (2024). Transboundary cooperation in infrastructure operation generates economic and environmental co-benefits in the Lancang-Mekong River Basin. Nature Water 10.1038/s44221-024-00246-1.

Yao, T., Bolch, T., Chen, D., Gao, J., Immerzeel, W., Piao, S., Su, F., Thompson, L., Wada, Y. ORCID: https://orcid.org/0000-0003-4770-2539, Wang, L., Wang, T., Wu, G., Xu, B., Yang, W., Zhang, G. & Zhao, P. (2022). The imbalance of the Asian water tower. Nature Reviews Earth & Environment 10.1038/s43017-022-00299-4.

Gao, J., Xu, X., Cao, G.-Y., Ermoliev, Y., Ermolieva, T. & Rovenskaya, E. ORCID: https://orcid.org/0000-0002-2761-3443 (2021). Strategic decision-support modeling for robust management of the food–energy–water nexus under uncertainty. Journal of Cleaner Production 292, e125995. 10.1016/j.jclepro.2021.125995.

Luo, Y., Gao, J. & Zheng, X. (2020). Individual-level and area-level socioeconomic inequalities in hearing impairment among Chinese adults: a population-based study. Journal of Epidemiology and Community Health 74, 541-547. 10.1136/jech-2019-213437.

Striessnig, E. ORCID: https://orcid.org/0000-0001-5419-9498, Gao, J., O'Neill, B. & Jiang, L. (2019). Empirically-based spatial projections of U.S. population age structure consistent with the shared socioeconomic pathways. Environmental Research Letters 14 10.1088/1748-9326/ab4a3a.

Gao, J., Xu, X., Cao, G.-Y., Ermoliev, Y., Ermolieva, T. & Rovenskaya, E. ORCID: https://orcid.org/0000-0002-2761-3443 (2018). Optimizing Regional Food and Energy Production under Limited Water Availability through Integrated Modeling. Sustainability 10 (6), e1689. 10.3390/su10061689.

Cao, G.-Y., Gao, J., Ermolieva, T., Xu, X. & Rovenskaya, E. ORCID: https://orcid.org/0000-0002-2761-3443 (2017). Societal Dimension of Energy Consumption – Exploring Environmental Inequality in China. Research in World Economy 8 (2), 59-65.

Xiangyang, X., Gao, J., Cao, G.-Y., Ermoliev, Y., Ermolieva, T., Kryazhimskii, A.V. & Rovenskaya, E. ORCID: https://orcid.org/0000-0002-2761-3443 (2015). Systems analysis of coal production and energy-water-food security in China. Cybernetics and Systems Analysis 51 (3), 370-377. 10.1007/s10559-015-9729-6.

Wang, X., Chen, X., Gao, J. & Wang, L. (2013). Reputation-based mutual selection rule promotes cooperation in spatial threshold public goods games. Chaos, Solitons & Fractals 10.1016/j.chaos.2013.07.019.

Monograph

Xu, X., Gao, J., Cao, G.-Y., Ermoliev, Y., Ermolieva, T., Kryazhimskiy, A.V. & Rovenskaya, E. ORCID: https://orcid.org/0000-0002-2761-3443 (2015). Modeling water-energy-food nexus for planning energy and agriculture developments: case study of coal mining industry in Shanxi province, China. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-15-020

Wang, X., Chen, X., Gao, J. & Wang, L. (2013). Reputation-based mutual selection rule promotes cooperation in spatial threshold public goods games. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-13-073

Conference or Workshop Item

Gao, J., Sun, C., Xiangyang, X., Cao, G.-Y., Yermoliev, Y., Ermolieva, T., Mosnier, A. & Rovenskaya, E. ORCID: https://orcid.org/0000-0002-2761-3443 (2015). Advanced Stochastic Optimization Modeling of the Water-energy-food Nexus for Robust Energy and Agricultural Development: Coal Mining Industry in Shanxi province, China. In: Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa, 11 -13 November, 2015, Laxenburg, Austria.

Data

Striessnig, E. ORCID: https://orcid.org/0000-0001-5419-9498, Gao, J., O'Neill, B. & Jiang, L. (2019). Dataset-Empirically-based spatial projections of U.S. population age structure consistent with the shared socioeconomic pathways. 10.22022/pop/10-2019.54.