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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Cloud detection algorithm comparison and validation for operational Landsat data products
Steve Foga, Pat Scaramuzza, Song Guo, et al.
Remote Sensing of Environment (2017) Vol. 194, pp. 379-390
Open Access | Times Cited: 984

Showing 1-25 of 984 citing articles:

The Harmonized Landsat and Sentinel-2 surface reflectance data set
Martin Claverie, Junchang Ju, Jeffrey G. Masek, et al.
Remote Sensing of Environment (2018) Vol. 219, pp. 145-161
Open Access | Times Cited: 1062
The global distribution and trajectory of tidal flats
Nicholas Murray, Stuart Phinn, Michael DeWitt, et al.
Nature (2018) Vol. 565, Iss. 7738, pp. 222-225
Closed Access | Times Cited: 804
Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery
Shi Qiu, Zhe Zhu, Binbin He
Remote Sensing of Environment (2019) Vol. 231, pp. 111205-111205
Closed Access | Times Cited: 397
Land cover 2.0
Michael A. Wulder, Nicholas C. Coops, David P. Roy, et al.
International Journal of Remote Sensing (2018) Vol. 39, Iss. 12, pp. 4254-4284
Open Access | Times Cited: 348
Summer warming explains widespread but not uniform greening in the Arctic tundra biome
Logan T. Berner, Richard Massey, Patrick Jantz, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 346
A cloud detection algorithm for satellite imagery based on deep learning
Jacob Jeppesen, Rune Hylsberg Jacobsen, Fadil Inceoglu, et al.
Remote Sensing of Environment (2019) Vol. 229, pp. 247-259
Open Access | Times Cited: 341
Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, and nadir BRDF adjusted reflectance and NDVI differences
Hankui K. Zhang, David P. Roy, Lin Yan, et al.
Remote Sensing of Environment (2018) Vol. 215, pp. 482-494
Open Access | Times Cited: 322
Analysis Ready Data: Enabling Analysis of the Landsat Archive
John L. Dwyer, David P. Roy, Brian Sauer, et al.
Remote Sensing (2018) Vol. 10, Iss. 9, pp. 1363-1363
Open Access | Times Cited: 320
Mapping cropping intensity in China using time series Landsat and Sentinel-2 images and Google Earth Engine
Luo Liu, Xiangming Xiao, Yuanwei Qin, et al.
Remote Sensing of Environment (2019) Vol. 239, pp. 111624-111624
Closed Access | Times Cited: 312
Landsat 9: Empowering open science and applications through continuity
Jeffrey G. Masek, Michael A. Wulder, Brian L. Markham, et al.
Remote Sensing of Environment (2020) Vol. 248, pp. 111968-111968
Closed Access | Times Cited: 307
Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity
C Kuhn, Aline M. Valério, Nicholas Ward, et al.
Remote Sensing of Environment (2019) Vol. 224, pp. 104-118
Open Access | Times Cited: 274
Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors
Zhiwei Li, Huanfeng Shen, Qing Cheng, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 150, pp. 197-212
Open Access | Times Cited: 262
Assessment of spatial–temporal changes of ecological environment quality based on RSEI and GEE: A case study in Erhai Lake Basin, Yunnan province, China
Xiong Yuan, Weiheng Xu, Ning Lu, et al.
Ecological Indicators (2021) Vol. 125, pp. 107518-107518
Open Access | Times Cited: 254
A Dynamic Landsat Derived Normalized Difference Vegetation Index (NDVI) Product for the Conterminous United States
Nathaniel Robinson, Brady Allred, Matthew Jones, et al.
Remote Sensing (2017) Vol. 9, Iss. 8, pp. 863-863
Open Access | Times Cited: 240
Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping
Peter Potapov, Matthew C. Hansen, Indrani Kommareddy, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 426-426
Open Access | Times Cited: 239
Continuous monitoring of land disturbance based on Landsat time series
Zhe Zhu, Junxue Zhang, Zhiqiang Yang, et al.
Remote Sensing of Environment (2019) Vol. 238, pp. 111116-111116
Open Access | Times Cited: 237
Landsat-8 and Sentinel-2 burned area mapping - A combined sensor multi-temporal change detection approach
David P. Roy, Haiyan Huang, Luigi Boschetti, et al.
Remote Sensing of Environment (2019) Vol. 231, pp. 111254-111254
Open Access | Times Cited: 227
Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active Learning Procedure
Louis Baetens, Camille Desjardins, Olivier Hagolle
Remote Sensing (2019) Vol. 11, Iss. 4, pp. 433-433
Open Access | Times Cited: 217
Evaluating Combinations of Temporally Aggregated Sentinel-1, Sentinel-2 and Landsat 8 for Land Cover Mapping with Google Earth Engine
Luis Carrasco, Aneurin W. O’Neil, Richard Morton, et al.
Remote Sensing (2019) Vol. 11, Iss. 3, pp. 288-288
Open Access | Times Cited: 195
Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach
J. F. Brown, H. Tollerud, Christopher Barber, et al.
Remote Sensing of Environment (2019) Vol. 238, pp. 111356-111356
Open Access | Times Cited: 194
Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations
Aleksandra Wolanin, Gustau Camps‐Valls, Luis Gómez‐Chova, et al.
Remote Sensing of Environment (2019) Vol. 225, pp. 441-457
Open Access | Times Cited: 181
Multi-sensor cloud and cloud shadow segmentation with a convolutional neural network
Marc Wieland, Yu Li, Sandro Martinis
Remote Sensing of Environment (2019) Vol. 230, pp. 111203-111203
Open Access | Times Cited: 178
Cloud and cloud shadow detection in Landsat imagery based on deep convolutional neural networks
Dengfeng Chai, Shawn Newsam, Hankui K. Zhang, et al.
Remote Sensing of Environment (2019) Vol. 225, pp. 307-316
Closed Access | Times Cited: 175
From white to green: Snow cover loss and increased vegetation productivity in the European Alps
Sabine B. Rumpf, Mathieu Gravey, Olivier Brönnimann, et al.
Science (2022) Vol. 376, Iss. 6597, pp. 1119-1122
Open Access | Times Cited: 171
Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2
Sergii Skakun, Jan Wevers, Carsten Brockmann, et al.
Remote Sensing of Environment (2022) Vol. 274, pp. 112990-112990
Open Access | Times Cited: 165
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