The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Consumption-based emission accounting for Chinese cities
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Cites
Global typology of urban energy use and potentials for an urbanization mitigation wedge
Creutzig, F., Baiocchi, G., Bierkandt, R., Pichler, P.-P., & Seto, K. C. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1315545112 · Cited by 598 · cited 1×
“Creutzig [35] used data from 274 cities to explore the potential for urban mitigation of global climate change.”
MethodChina׳s international trade and air pollution in the United States
Lin, J., Pan, D., Davis, S. J., Zhang, Q., He, K., Wang, C., Streets, D. G., Wuebbles, D. J., & Guan, D. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1312860111 · Cited by 482
Self-citationSteininger, K., Lininger, C., Droege, S., Roser, D., Tomlinson, L., & Meyer, L. (2014) · Global Environmental Change · doi:10.1016/j.gloenvcha.2013.10.005 · Cited by 235
Cited by
Challenges and opportunities for carbon neutrality in China
Liu, Z., Deng, Z., He, G., Wang, H., Zhang, X., Lin, J., Qi, Y., & Liang, X. (2021) · Nature Reviews Earth & Environment · doi:10.1038/s43017-021-00244-x · Cited by 1,748
Self-citationMethodology and applications of city level CO2 emission accounts in China
Shan, Y., Guan, D., Liu, J., Mi, Z., Liu, Z., Liu, J., Schroeder, H., Cai, B., Chen, Y., Shao, S., et al. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.06.075 · Cited by 587
Self-citationSocioeconomic impact assessment of China's CO2 emissions peak prior to 2030
Mi, Z., Wei, Y.-M., Wang, B., Meng, J., Liu, Z., Shan, Y., Liu, J., & Guan, D. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.11.055 · Cited by 423
Self-citationImpact of fiscal decentralization on green total factor productivity
Song, M., Du, J., & Tan, K. H. (2018) · International Journal of Production Economics · doi:10.1016/j.ijpe.2018.09.019 · Cited by 328
Upscaling urban data science for global climate solutions
Creutzig, F., Lohrey, S., Bai, X., Baklanov, A., Dawson, R., Dhakal, S., Lamb, W. F., McPhearson, T., Minx, J., Munoz, E., et al. (2019) · Global Sustainability · doi:10.1017/sus.2018.16 · Cited by 137
Metadata
- Authors
- Mi, Z., Zhang, Y., Guan, D., Shan, Y., Liu, Z., Cong, R., Yuan, X.-C., & Wei, Y.-M.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 184
- Pages
- 1073-1081
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2469509239
- Cited by
- 636
- References
- 3
- FWCI
- 49.09
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Consumption-based emission accounting for Chinese cities. https://app.cochat.ai/papers/10.1016/j.apenergy.2016.06.094
- The paper
- Mi, Z., Zhang, Y., Guan, D., Shan, Y., Liu, Z., Cong, R., Yuan, X.-C., & Wei, Y.-M. (2016). Consumption-based emission accounting for Chinese cities. Applied Energy. https://doi.org/10.1016/j.apenergy.2016.06.094
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
