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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:

Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
Jun Xiong, Prasad S. Thenkabail, Murali Krishna Gumma, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2017) Vol. 126, pp. 225-244
Open Access | Times Cited: 455

Showing 1-25 of 455 citing articles:

Remote sensing for agricultural applications: A meta-review
Marie Weiss, Frédéric Jacob, Grégory Duveiller
Remote Sensing of Environment (2019) Vol. 236, pp. 111402-111402
Open Access | Times Cited: 1284
Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
Haifa Tamiminia, Bahram Salehi, Masoud Mahdianpari, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 164, pp. 152-170
Closed Access | Times Cited: 965
Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis
Mariana Belgiu, Ovidiu Csillik
Remote Sensing of Environment (2017) Vol. 204, pp. 509-523
Open Access | Times Cited: 786
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
Google Earth Engine Applications Since Inception: Usage, Trends, and Potential
Lalit Kumar, Onisimo Mutanga
Remote Sensing (2018) Vol. 10, Iss. 10, pp. 1509-1509
Open Access | Times Cited: 639
A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform
Pardhasaradhi Teluguntla, Prasad S. Thenkabail, Adam Oliphant, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 144, pp. 325-340
Open Access | Times Cited: 460
Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine
Ben DeVries, Chengquan Huang, John Armston, et al.
Remote Sensing of Environment (2020) Vol. 240, pp. 111664-111664
Closed Access | Times Cited: 385
Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine
Jun Xiong, Prasad S. Thenkabail, James C. Tilton, et al.
Remote Sensing (2017) Vol. 9, Iss. 10, pp. 1065-1065
Open Access | Times Cited: 364
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
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: 311
The First Wetland Inventory Map of Newfoundland at a Spatial Resolution of 10 m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform
Masoud Mahdianpari, Bahram Salehi, Fariba Mohammadimanesh, et al.
Remote Sensing (2018) Vol. 11, Iss. 1, pp. 43-43
Open Access | Times Cited: 269
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
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
Multiple cropping systems of the world and the potential for increasing cropping intensity
Katharina Waha, Jan Philipp Dietrich, F. T. Portmann, et al.
Global Environmental Change (2020) Vol. 64, pp. 102131-102131
Open Access | Times Cited: 214
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 Winter Crops in China with Multi-Source Satellite Imagery and Phenology-Based Algorithm
Haifeng Tian, Ni Huang, Zheng Niu, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 820-820
Open Access | Times Cited: 193
Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine Cloud
Adam Oliphant, Prasad S. Thenkabail, Pardhasaradhi Teluguntla, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 81, pp. 110-124
Open Access | Times Cited: 191
Remote sensing monitoring of multi-scale watersheds impermeability for urban hydrological evaluation
Zhenfeng Shao, Huyan Fu, Deren Li, et al.
Remote Sensing of Environment (2019) Vol. 232, pp. 111338-111338
Closed Access | Times Cited: 184
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 croplands, cropping patterns, and crop types using MODIS time-series data
Yaoliang Chen, Dengsheng Lu, Emílio F. Moran, et al.
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 69, pp. 133-147
Closed Access | Times Cited: 175
Surface urban heat islands in Italian metropolitan cities: Tree cover and impervious surface influences
Marco Morabito, Alfonso Crisci, Giulia Guerri, et al.
The Science of The Total Environment (2020) Vol. 751, pp. 142334-142334
Open Access | Times Cited: 173
A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine
Dongdong Kong, Yongqiang Zhang, Xihui Gu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 155, pp. 13-24
Closed Access | Times Cited: 152
Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review
Liping Yang, Joshua Driscol, Sarigai Sarigai, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3253-3253
Open Access | Times Cited: 152
How Well Do Deep Learning-Based Methods for Land Cover Classification and Object Detection Perform on High Resolution Remote Sensing Imagery?
Xin Zhang, Liangxiu Han, Lianghao Han, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 417-417
Open Access | Times Cited: 151
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