The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Spatiotemporal prediction of daily ambient ozone levels across China using random forest for human exposure assessment
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Citations
Cites
Greedy function approximation: A gradient boosting machine
Friedman, J. H. (2001) · The Annals of Statistics · doi:10.1214/aos/1013203451 · Cited by 30,731
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
Kan, H., London, S. J., Chen, G., Zhang, Y., Song, G., Zhao, N., Jiang, L., & Chen, B. (2008) · Environmental Health Perspectives · doi:10.1289/ehp.10851 · Cited by 582
Wong, C.-M., Vichit-Vadakan, N., Kan, H., & Qian, Z. (2008) · Environmental Health Perspectives · doi:10.1289/ehp.11257 · Cited by 476
Wang, Y., Zhang, Y., Hao, J., & Luo, M. (2011) · Atmospheric chemistry and physics · doi:10.5194/acp-11-3511-2011 · Cited by 195
Climate-driven ground-level ozone extreme in the fall over the Southeast United States
Zhang, Y., & Wang, Y. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1602563113 · Cited by 132
Cited by
Han, H., Liu, J., Shu, L., Wang, T., & Yuan, H. (2020) · Atmospheric Chemistry and Physics · doi:10.5194/acp-20-203-2020 · Cited by 331
Xue, T., Zheng, Y., Geng, G., Xiao, Q., Meng, X., Wang, M., Li, X., Wu, N., Zhang, Q., & Zhu, T. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c03098 · Cited by 285
Metadata
- Authors
- Zhan, Y., Luo, Y., Deng, X., Grieneisen, M. L., Zhang, M., & Di, B.
- Venue
- Environmental Pollution
- Publisher
- Elsevier BV
- Published
- 2018-02
- Volume
- 233
- Pages
- 464-473
- ISSN
- 0269-7491 (ISSN-L)
- OpenAlex
- W2767085346
- Cited by
- 310
- References
- 6
- FWCI
- 7.53
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Spatiotemporal prediction of daily ambient ozone levels across China using random forest for human exposure assessment. https://app.cochat.ai/papers/10.1016/j.envpol.2017.10.029
- The paper
- Zhan, Y., Luo, Y., Deng, X., Grieneisen, M. L., Zhang, M., & Di, B. (2018). Spatiotemporal prediction of daily ambient ozone levels across China using random forest for human exposure assessment. Environmental Pollution. https://doi.org/10.1016/j.envpol.2017.10.029
Data sources
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.
