The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Full-coverage high-resolution daily PM2.5 estimation using MAIAC AOD in the Yangtze River Delta of China
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Citations
Cites
Lim, S. S., Vos, T., Flaxman, A. D., Danaei, G., Shibuya, K., Adair-Rohani, H., AlMazroa, M. A., Amann, M., Anderson, H. R., Andrews, K. G., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61766-8 · Cited by 11,805
AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization
Holben, B. N., Eck, T. F., Slutsker, I., Tanré, D., Buis, J. P., Setzer, A., Vermote, E., Reagan, J. A., Kaufman, Y. J., Nakajima, T., et al. (1998) · Remote Sensing of Environment · doi:10.1016/s0034-4257(98)00031-5 · Cited by 7,743
The contribution of outdoor air pollution sources to premature mortality on a global scale
Lelieveld, J., Evans, J. S., Fnais, M., Giannadaki, D., & Pozzer, A. (2015) · Nature · doi:10.1038/nature15371 · Cited by 5,977
Bey, I., Jacob, D. J., Yantosca, R. M., Logan, J. A., Field, B. D., Fiore, A. M., Li, Q., Liu, H. Y., Mickley, L. J., & Schultz, M. G. (2001) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2001jd000807 · Cited by 2,486
Byun, D., & Schere, K. L. (2006) · Applied Mechanics Reviews · doi:10.1115/1.2128636 · Cited by 2,413
Acock, A. C. (2005) · Journal of Marriage and Family · doi:10.1111/j.1741-3737.2005.00191.x · Cited by 1,766
Cloud-Screening and Quality Control Algorithms for the AERONET Database
Smirnov, A., Holben, B. N., Eck, T. F., Dubovik, O., & Slutsker, I. (2000) · Remote Sensing of Environment · doi:10.1016/s0034-4257(00)00109-7 · Cited by 1,382
LandScan: a global population database for estimating populations at risk
(2003) · Remotely-Sensed Cities · doi:10.1201/9781482264678-24 · Cited by 869
Air Pollution in China: Mapping of Concentrations and Sources
Rohde, R. A., & Muller, R. A. (2015) · PLOS ONE · doi:10.1371/journal.pone.0135749 · Cited by 769
Satellite-Based Spatiotemporal Trends in PM 2.5 Concentrations: China, 2004–2013
Ma, Z., Hu, X., Sayer, A. M., Levy, R., Zhang, Q., Xue, Y., Tong, S., Bi, J., Huang, L., & Liu, Y. (2016) · Environmental Health Perspectives · doi:10.1289/ehp.1409481 · Cited by 682
Self-citation
Cited by
MODIS Collection 6 MAIAC algorithm
Lyapustin, A., Wang, Y., Korkin, S., & Huang, D. (2018) · Atmospheric Measurement Techniques · doi:10.5194/amt-11-5741-2018 · Cited by 934
Self-citationWei, J., Li, Z., Cribb, M., Huang, W., Xue, W., Sun, L., Guo, J., Peng, Y., Li, J., Lyapustin, A., et al. (2020) · Atmospheric Chemistry and Physics · doi:10.5194/acp-20-3273-2020 · Cited by 706
Self-citation
Metadata
- Authors
- Xiao, Q., Wang, Y., Chang, H. H., Meng, X., Geng, G., Lyapustin, A., & Liu, Y.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2017-09
- Volume
- 199
- Pages
- 437-446
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2742946820
- Cited by
- 323
- References
- 35
- FWCI
- 19.42
- 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: Full-coverage high-resolution daily PM2.5 estimation using MAIAC AOD in the Yangtze River Delta of China. https://app.cochat.ai/papers/10.1016/j.rse.2017.07.023
- The paper
- Xiao, Q., Wang, Y., Chang, H. H., Meng, X., Geng, G., Lyapustin, A., & Liu, Y. (2017). Full-coverage high-resolution daily PM2.5 estimation using MAIAC AOD in the Yangtze River Delta of China. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2017.07.023
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.
