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The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.

Beating the urban heat: Situation, background, impacts and the way forward in China

He, Bao-Jie, Wang, Junsong, Zhu, Jin, Qi, Jinda·2022·Renewable and Sustainable Energy Reviews

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Citations

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Research works printed but not linked: 19

  1. Okeke, 2020, City as habitat: assembling the fragile city, Civil Eng J, 6, 1143, 10.28991/cej-2020-03091536 · doi:10.28991/cej-2020-03091536
  2. Zhao, 2022, Clay content mapping and uncertainty estimation using weighted model averaging, Catena, 209, 105791, 10.1016/j.catena.2021.105791 · doi:10.1016/j.catena.2021.105791
  3. Zhao, 2020, Mapping cation exchange capacity using a quasi-3d joint inversion of EM38 and EM31 data, Soil Tillage Res, 200, 104618, 10.1016/j.still.2020.104618 · doi:10.1016/j.still.2020.104618
  4. Zheng, 2007, Influence of meteorological parameters on human comfort index, Meteorol Sci Technol, 35, 827
  5. Kavianpour, 2020, Copula based spatial analysis of drought return period in Southwest of Iran, Period Polytech Civ Eng, 64, 1051
  6. Yu, 2020, More frequent and widespread persistent compound drought and heat event observed in China, Sci Rep, 10, 14576, 10.1038/s41598-020-71312-3 · doi:10.1038/s41598-020-71312-3
  7. Faqe Ibrahim, 2017, Urban land use land cover changes and their effect on land surface temperature: case study using Dohuk city in the Kurdistan region of Iraq, Climate, 5, 10.3390/cli5010013 · doi:10.3390/cli5010013
  8. He, 2019, vol. 47, 101472
  9. Jacobs, 2020, Are urban water bodies really cooling?, Urban Clim, 32, 100607, 10.1016/j.uclim.2020.100607 · doi:10.1016/j.uclim.2020.100607
  10. Yang, 2019, Local climate zone ventilation and urban land surface temperatures: towards a performance-based and wind-sensitive planning proposal in megacities, Sustain Cities Soc, 47, 101487, 10.1016/j.scs.2019.101487 · doi:10.1016/j.scs.2019.101487
  11. Fang, 2017, Hourly variation of surface urban heat island over the Yangtze River Delta urban agglomeration, Adv Earth Sci, 32, 187
  12. Haddad, 2015, Impact of the transport on the urban heat island, Int J Environ Ecol Eng, 9, 968
  13. Laidley, 2016, Measuring sprawl: a new index, recent trends, and future research, Urban Aff Rev, 52, 66, 10.1177/1078087414568812 · doi:10.1177/1078087414568812
  14. Zhang, 2015, Mass human migration and Beijing's urban heat island during the Chinese New Year holiday, Sci Bull, 60, 1038, 10.1007/s11434-015-0809-9 · doi:10.1007/s11434-015-0809-9
  15. Li, 2018, Does economic development improve urban greening? Evidence from 289 cities in China using spatial regression models, Environ Monit Assess, 190, 541, 10.1007/s10661-018-6871-4 · doi:10.1007/s10661-018-6871-4
  16. Lin, 2015, Drought in Southwest China: a review, Atmos Ocean Sci Lett, 8, 339
  17. Gómez-Martín, 2014, The Spanish tourist sector facing extreme climate events: a case study of domestic tourism in the heat wave of 2003, Int J Biometeorol, 58, 781, 10.1007/s00484-013-0659-6 · doi:10.1007/s00484-013-0659-6
  18. Guo, 2020, Weather impact on passenger flow of rail transit lines, Civil Eng J, 6, 276, 10.28991/cej-2020-03091470 · doi:10.28991/cej-2020-03091470
  19. Zander, 2015, Heat stress causes substantial labour productivity loss in Australia, Nat Clim Change, 5, 647, 10.1038/nclimate2623 · DOI · Paper page

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Metadata

Authors
He, B.-J., Wang, J., Zhu, J., & Qi, J.
Venue
Renewable and Sustainable Energy Reviews
Publisher
Elsevier BV
Published
2022-06
Volume
161
Pages
112350
ISSN
1364-0321 (ISSN-L)
OpenAlex
W4221042117
Cited by
316
References
123
FWCI
21.07
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Beating the urban heat: Situation, background, impacts and the way forward in China. https://app.cochat.ai/papers/10.1016/j.rser.2022.112350
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He, B.-J., Wang, J., Zhu, J., & Qi, J. (2022). Beating the urban heat: Situation, background, impacts and the way forward in China. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2022.112350

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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.