| The great Atlantic Sargassum belt M Wang, C Hu, BB Barnes, G Mitchum, B Lapointe, JP Montoya Science 365 (6448), 83-87, 2019 | 634 | 2019 |
| Mapping and quantifying Sargassum distribution and coverage in the Central West Atlantic using MODIS observations M Wang, C Hu Remote sensing of environment 183, 350-367, 2016 | 274 | 2016 |
| Toward a coordinated global observing system for seagrasses and marine macroalgae JE Duffy, L Benedetti-Cecchi, J Trinanes, FE Muller-Karger, ... Frontiers in Marine Science 6, 317, 2019 | 191 | 2019 |
| The establishment of a pelagic Sargassum population in the tropical Atlantic: Biological consequences of a basin-scale long distance dispersal event EM Johns, R Lumpkin, NF Putman, RH Smith, FE Muller-Karger, ... Progress in Oceanography 182, 102269, 2020 | 186 | 2020 |
| Floating algae blooms in the East China Sea L Qi, C Hu, M Wang, S Shang, C Wilson Geophysical Research Letters 44 (22), 11,501-11,509, 2017 | 156 | 2017 |
| Simulating transport pathways of pelagic Sargassum from the Equatorial Atlantic into the Caribbean Sea NF Putman, GJ Goni, LJ Gramer, C Hu, EM Johns, J Trinanes, M Wang Progress in oceanography 165, 205-214, 2018 | 150 | 2018 |
| Predicting Sargassum blooms in the Caribbean Sea from MODIS observations M Wang, C Hu Geophysical Research Letters 44 (7), 3265-3273, 2017 | 130 | 2017 |
| Nutrient content and stoichiometry of pelagic Sargassum reflects increasing nitrogen availability in the Atlantic Basin BE Lapointe, RA Brewton, LW Herren, M Wang, C Hu, DJ McGillicuddy Jr, ... Nature Communications 12 (1), 3060, 2021 | 116 | 2021 |
| Remote Sensing of Sargassum Biomass, Nutrients, and Pigments M Wang, C Hu, J Cannizzaro, D English, X Han, D Naar, B Lapointe, ... Geophysical Research Letters 45 (22), 12,359-12,367, 2018 | 110 | 2018 |
| Sargassum watch warns of incoming seaweed C Hu, B Murch, BB Barnes, M Wang, JP Maréchal, J Franks, D Johnson, ... Eos 97 (22), 10-15, 2016 | 105 | 2016 |
| Satellite remote sensing of pelagic Sargassum macroalgae: The power of high resolution and deep learning M Wang, C Hu Remote Sensing of Environment 264, 112631, 2021 | 93 | 2021 |
| Tracking an oil tanker collision and spilled oils in the East China Sea using multisensor day and night satellite imagery S Sun, Y Lu, Y Liu, M Wang, C Hu Geophysical Research Letters 45 (7), 3212-3220, 2018 | 75 | 2018 |
| Automatic Extraction of Sargassum Features From Sentinel-2 MSI Images M Wang, C Hu IEEE Transactions on Geoscience and Remote Sensing 59 (3), 2579-2597, 2020 | 58 | 2020 |
| Monitoring pelagic Sargassum inundation potential for coastal communities J Trinanes, NF Putman, G Goni, C Hu, M Wang Journal of operational oceanography 16 (1), 48-59, 2023 | 48 | 2023 |
| On the Atlantic pelagic Sargassum's role in carbon fixation and sequestration C Hu, M Wang, BE Lapointe, RA Brewton, FJ Hernandez Science of the Total Environment 781, 146801, 2021 | 35 | 2021 |
| On the continuity of quantifying floating algae of the Central West Atlantic between MODIS and VIIRS M Wang, C Hu International Journal of Remote Sensing 39 (12), 3852-3869, 2018 | 31 | 2018 |
| Mapping and quantifying pelagic Sargassum in the Atlantic Ocean using multi-band medium-resolution satellite data and deep learning C Hu, S Zhang, BB Barnes, Y Xie, M Wang, JP Cannizzaro, DC English Remote Sensing of Environment 289, 113515, 2023 | 30 | 2023 |
| Extracting oil slick features from VIIRS nighttime imagery using a Gaussian filter and morphological constraints M Wang, C Hu IEEE Geoscience and Remote Sensing Letters 12 (10), 2051-2055, 2015 | 30 | 2015 |
| Using remote sensing to detect the polarized sunglint reflected from oil slicks beyond the critical angle Y Lu, Y Zhou, Y Liu, Z Mao, W Qian, M Wang, M Zhang, J Xu, S Sun, P Du Journal of Geophysical Research: Oceans 122 (8), 6342-6354, 2017 | 23 | 2017 |
| Detecting surface oil slicks using VIIRS nighttime imagery under moon glint: A case study in the Gulf of Mexico C Hu, S Chen, M Wang, B Murch, J Taylor Remote Sensing Letters 6 (4), 295-301, 2015 | 19 | 2015 |
