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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:

Landsat-based classification in the cloud: An opportunity for a paradigm shift in land cover monitoring
George Azzari, David B. Lobell
Remote Sensing of Environment (2017) Vol. 202, pp. 64-74
Closed Access | Times Cited: 224

Showing 1-25 of 224 citing articles:

The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019
Jie Yang, Xin Huang
Earth system science data (2021) Vol. 13, Iss. 8, pp. 3907-3925
Open Access | Times Cited: 1855
Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine
Carlos Souza, Julia Z. Shimbo, Marcos Reis Rosa, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2735-2735
Open Access | Times Cited: 1188
GLC_FCS30: global land-cover product with fine classification system at 30 m using time-series Landsat imagery
Xiao Zhang, Liangyun Liu, Xidong Chen, et al.
Earth system science data (2021) Vol. 13, Iss. 6, pp. 2753-2776
Open Access | Times Cited: 693
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
Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques
Sherrie Wang, George Azzari, David B. Lobell
Remote Sensing of Environment (2019) Vol. 222, pp. 303-317
Closed Access | Times Cited: 331
Using publicly available satellite imagery and deep learning to understand economic well-being in Africa
Christopher Yeh, Anthony Perez, Anne Driscoll, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 317
Smallholder maize area and yield mapping at national scales with Google Earth Engine
Zhenong Jin, George Azzari, Calum You, et al.
Remote Sensing of Environment (2019) Vol. 228, pp. 115-128
Open Access | Times Cited: 308
High-resolution mapping of losses and gains of Earth’s tidal wetlands
Nicholas Murray, Thomas A. Worthington, Peter Bunting, et al.
Science (2022) Vol. 376, Iss. 6594, pp. 744-749
Open Access | Times Cited: 296
Improved land cover map of Iran using Sentinel imagery within Google Earth Engine and a novel automatic workflow for land cover classification using migrated training samples
Arsalan Ghorbanian, Mohammad Kakooei, Meisam Amani, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 167, pp. 276-288
Closed Access | Times Cited: 269
The 10-m crop type maps in Northeast China during 2017–2019
Nanshan You, Jinwei Dong, Jianxi Huang, et al.
Scientific Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 267
Google Earth Engine, Open-Access Satellite Data, and Machine Learning in Support of Large-Area Probabilistic Wetland Mapping
Jennifer Hird, Evan R. DeLancey, Gregory J. McDermid, et al.
Remote Sensing (2017) Vol. 9, Iss. 12, pp. 1315-1315
Open Access | Times Cited: 260
Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review
Michel Eustáquio Dantas Chaves, Michelle Cristina Araújo Picoli, Ieda Del’Arco Sanches
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 3062-3062
Open Access | Times Cited: 259
Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine
Nanshan You, Jinwei Dong
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 161, pp. 109-123
Closed Access | Times Cited: 236
Innovation in rangeland monitoring: annual, 30 m, plant functional type percent cover maps for U.S. rangelands, 1984–2017
Matthew Jones, Brady Allred, David E. Naugle, et al.
Ecosphere (2018) Vol. 9, Iss. 9
Open Access | Times Cited: 229
Disturbance-Informed Annual Land Cover Classification Maps of Canada's Forested Ecosystems for a 29-Year Landsat Time Series
Txomin Hermosilla, Michael A. Wulder, Joanne C. White, et al.
Canadian Journal of Remote Sensing (2018) Vol. 44, Iss. 1, pp. 67-87
Open Access | Times Cited: 217
Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery
Sherrie Wang, William Chen, Sang Michael Xie, et al.
Remote Sensing (2020) Vol. 12, Iss. 2, pp. 207-207
Open Access | Times Cited: 216
Diagnosing spatial biases and uncertainties in global fire emissions inventories: Indonesia as regional case study
Tianjia Liu, Loretta J. Mickley, Miriam E. Marlier, et al.
Remote Sensing of Environment (2019) Vol. 237, pp. 111557-111557
Open Access | Times Cited: 213
Towards fine resolution global maps of crop yields: Testing multiple methods and satellites in three countries
George Azzari, Meha Jain, David B. Lobell
Remote Sensing of Environment (2017) Vol. 202, pp. 129-141
Closed Access | Times Cited: 205
Mapping pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey
Dirk Pflugmacher, Andreas Rabe, Mathias Peters, et al.
Remote Sensing of Environment (2018) Vol. 221, pp. 583-595
Open Access | Times Cited: 204
Mapping Three Decades of Changes in the Brazilian Savanna Native Vegetation Using Landsat Data Processed in the Google Earth Engine Platform
Ane Alencar, Julia Z. Shimbo, Felipe Lenti, et al.
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 924-924
Open Access | Times Cited: 192
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping
Jinfan Xu, Yue Zhu, Renhai Zhong, et al.
Remote Sensing of Environment (2020) Vol. 247, pp. 111946-111946
Closed Access | Times Cited: 186
Progress and Trends in the Application of Google Earth and Google Earth Engine
Qiang Zhao, Le Yu, Xuecao Li, et al.
Remote Sensing (2021) Vol. 13, Iss. 18, pp. 3778-3778
Open Access | Times Cited: 184
Finer-Resolution Mapping of Global Land Cover: Recent Developments, Consistency Analysis, and Prospects
Liangyun Liu, Xiao Zhang, Yuan Gao, et al.
Journal of Remote Sensing (2021) Vol. 2021
Open Access | Times Cited: 181
Mapping three decades of annual irrigation across the US High Plains Aquifer using Landsat and Google Earth Engine
Jillian M. Deines, A. D. Kendall, Morgan A. Crowley, et al.
Remote Sensing of Environment (2019) Vol. 233, pp. 111400-111400
Open Access | Times Cited: 175
Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine
Qiusheng Wu, Charles R. Lane, Xuecao Li, et al.
Remote Sensing of Environment (2019) Vol. 228, pp. 1-13
Open Access | Times Cited: 156
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