The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Mapping and quantifying Sargassum distribution and coverage in the Central West Atlantic using MODIS observations
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Citations
Cites
A novel ocean color index to detect floating algae in the global oceans
Hu, C. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.05.012 · Cited by 969
Self-citationGreen and golden seaweed tides on the rise
Smetacek, V., & Zingone, A. (2013) · Nature · doi:10.1038/nature12860 · Cited by 949
Rapid changes in the hydrologic cycle of the tropical Atlantic during the last glacial
Peterson, L. C., Haug, G. H., Hughen, K. A., & Röhl, U. (2000) · Science · doi:10.1126/science.290.5498.1947 · Cited by 913
The Global Monitoring for Environment and Security (GMES) Sentinel-3 mission
Donlon, C., Berruti, B., Buongiorno, A., Ferreira, M.-H., Féménias, P., Frerick, J., Goryl, P., Klein, U., Laur, H., Mavrocordatos, C., et al. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.07.024 · Cited by 844
INTRODUCING THE NEXT-GENERATION ADVANCED BASELINE IMAGER ON GOES-R
Schmit, T. J., Gunshor, M. M., Menzel, W. P., Gurka, J. J., Li, J., & Bachmeier, A. S. (2005) · Bulletin of the American Meteorological Society · doi:10.1175/bams-86-8-1079 · Cited by 534
Detection of intense plankton blooms using the 709 nm band of the MERIS imaging spectrometer
Gower, J., King, S., Borstad, G., & Brown, L. (2005) · International Journal of Remote Sensing · doi:10.1080/01431160500075857 · Cited by 352
Prospero, J. M., Collard, F., Molinié, J., & Jeannot, A. (2014) · Global Biogeochemical Cycles · doi:10.1002/2013gb004802 · Cited by 344
Lee, C. M., Cable, M. L., Hook, S. J., Green, R. O., Ustin, S. L., Mandl, D. J., & Middleton, E. M. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.06.012 · Cited by 331
On the recurrent Ulva prolifera blooms in the Yellow Sea and East China Sea
Hu, C., Li, D., Chen, C., Ge, J., Muller‐Karger, F. E., Liu, J., Yu, F., & He, M. (2010) · Journal of Geophysical Research: Oceans · doi:10.1029/2009jc005561 · Cited by 316
Self-citationTrends in Global Cloud Cover in Two Decades of HIRS Observations
Wylie, D., Jackson, D. L., Menzel, W. P., & Bates, J. J. (2005) · Journal of Climate · doi:10.1175/jcli3461.1 · Cited by 310
Cited by
Blunden, J., & Arndt, D. S. (2019) · Bulletin of the American Meteorological Society · doi:10.1175/2019bamsstateoftheclimate.1 · Cited by 253
Predicting Sargassum blooms in the Caribbean Sea from MODIS observations
Wang, M., & Hu, C. (2017) · Geophysical Research Letters · doi:10.1002/2017gl072932 · Cited by 111
Self-citationAparicio, E., Rodríguez-Jasso, R. M., Pinales-Márquez, C. D., Loredo-Treviño, A., Robledo-Olivo, A., Aguilar, C. N., Kostas, E. T., & Ruiz, H. A. (2021) · Bioresource Technology · doi:10.1016/j.biortech.2021.124935 · Cited by 110
Escobar, B., Pérez-Salcedo, K. Y., Alonso-Lemus, I. L., Pacheco, D., & Barbosa, R. (2017) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2017.06.240 · Cited by 30
Metadata
- Authors
- Wang, M., & Hu, C.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2016-09
- Volume
- 183
- Pages
- 350-367
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2467306443
- Cited by
- 293
- References
- 42
- FWCI
- 13.42
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Mapping and quantifying Sargassum distribution and coverage in the Central West Atlantic using MODIS observations. https://app.cochat.ai/papers/10.1016/j.rse.2016.04.019
- The paper
- Wang, M., & Hu, C. (2016). Mapping and quantifying Sargassum distribution and coverage in the Central West Atlantic using MODIS observations. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2016.04.019
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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.
