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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:

Next generation of global land cover characterization, mapping, and monitoring
Chandra Giri, Bruce W. Pengra, James M. Long, et al.
International Journal of Applied Earth Observation and Geoinformation (2013) Vol. 25, pp. 30-37
Closed Access | Times Cited: 186

Showing 26-50 of 186 citing articles:

GlobeLand30 as an alternative fine-scale global land cover map: Challenges, possibilities, and implications for developing countries
Jamal Jokar Arsanjani, Amin Tayyebi, Eric Vaz
Habitat International (2016) Vol. 55, pp. 25-31
Closed Access | Times Cited: 108
High-resolution wall-to-wall land-cover mapping and land change assessment for Australia from 1985 to 2015
Marco Calderón-Loor, Michalis Hadjikakou, Brett A. Bryan
Remote Sensing of Environment (2020) Vol. 252, pp. 112148-112148
Open Access | Times Cited: 106
Monitoring mangrove forests: Are we taking full advantage of technology?
Nicolás Younes, Karen E. Joyce, Stefan Maier
International Journal of Applied Earth Observation and Geoinformation (2017) Vol. 63, pp. 1-14
Open Access | Times Cited: 105
Information from imagery: ISPRS scientific vision and research agenda
Jun Chen, I. J. Dowman, Songnian Li, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2015) Vol. 115, pp. 3-21
Open Access | Times Cited: 103
The fragmented nature of tundra landscape
Tarmo Virtanen, Malin Ek
International Journal of Applied Earth Observation and Geoinformation (2013) Vol. 27, pp. 4-12
Closed Access | Times Cited: 102
Rapid Land Cover Map Updates Using Change Detection and Robust Random Forest Classifiers
Konrad Wessels, F. van den Bergh, David P. Roy, et al.
Remote Sensing (2016) Vol. 8, Iss. 11, pp. 888-888
Open Access | Times Cited: 99
Fine Land-Cover Mapping in China Using Landsat Datacube and an Operational SPECLib-Based Approach
Xiao Zhang, Liangyun Liu, Xidong Chen, et al.
Remote Sensing (2019) Vol. 11, Iss. 9, pp. 1056-1056
Open Access | Times Cited: 97
ME-Net: A Deep Convolutional Neural Network for Extracting Mangrove Using Sentinel-2A Data
Mingqiang Guo, Zhongyang Yu, Yongyang Xu, et al.
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1292-1292
Open Access | Times Cited: 58
Comparison of Tree Typologies Mapping Using Random Forest Classifier Algorithm of PRISMA and Sentinel-2 Products in Different Areas of Central Italy
Eros Caputi, Gabriele Delogu, Alessio Patriarca, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 356-356
Open Access | Times Cited: 1
A web-based system for supporting global land cover data production
Gang Han, Jun Chen, Chaoying He, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2014) Vol. 103, pp. 66-80
Closed Access | Times Cited: 85
Land Use/Cover Change in the Middle Reaches of the Heihe River Basin over 2000-2011 and Its Implications for Sustainable Water Resource Management
Xiaoli Hu, Ling Lü, Xin Li, et al.
PLoS ONE (2015) Vol. 10, Iss. 6, pp. e0128960-e0128960
Open Access | Times Cited: 82
Bidirectional effects in Landsat reflectance estimates: Is there a problem to solve?
Jyoteshwar Nagol, Joe Sexton, Do‐Hyung Kim, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2014) Vol. 103, pp. 129-135
Closed Access | Times Cited: 80
Assessing the suitability of GlobeLand30 for mapping land cover in Germany
Jamal Jokar Arsanjani, Linda See, Amin Tayyebi
International Journal of Digital Earth (2016) Vol. 9, Iss. 9, pp. 873-891
Open Access | Times Cited: 68
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.
(2020)
Open Access | Times Cited: 60
Impact assessment of land use change on surface temperature and agricultural productivity in Peshawar-Pakistan
Imran Khan, Tehseen Javed, Ahmad Khan, et al.
Environmental Science and Pollution Research (2019) Vol. 26, Iss. 32, pp. 33076-33085
Closed Access | Times Cited: 58
Mapping and Monitoring of Land Cover/Land Use (LCLU) Changes in the Crozon Peninsula (Brittany, France) from 2007 to 2018 by Machine Learning Algorithms (Support Vector Machine, Random Forest, and Convolutional Neural Network) and by Post-classification Comparison (PCC)
Guanyao Xie, Simona Niculescu
Remote Sensing (2021) Vol. 13, Iss. 19, pp. 3899-3899
Open Access | Times Cited: 54
Evaluation and mapping of predicted future land use changes using hybrid models in a coastal area
Hafez Ahmad, Mohammed Abdallah, Felix Jose, et al.
Ecological Informatics (2023) Vol. 78, pp. 102324-102324
Closed Access | Times Cited: 23
Arctic tundra shrubification can obscure increasing levels of soil erosion in NDVI assessments of land cover derived from satellite imagery
Georg Kodl, Richard Streeter, Nick A. Cutler, et al.
Remote Sensing of Environment (2023) Vol. 301, pp. 113935-113935
Open Access | Times Cited: 18
How Reliable is the MODIS Land Cover Product for Crop Mapping Sub-Saharan Agricultural Landscapes?
Louise Leroux, Audrey Jolivot, Agnès Bégué, et al.
Remote Sensing (2014) Vol. 6, Iss. 9, pp. 8541-8564
Open Access | Times Cited: 62
Land cover in Norway based on an area frame survey of vegetation types
Anders Bryn, Geir‐Harald Strand, Michael Angeloff, et al.
Norsk Geografisk Tidsskrift - Norwegian Journal of Geography (2018) Vol. 72, Iss. 3, pp. 131-145
Open Access | Times Cited: 54
A comparative analysis of five global cropland datasets in China
Miao Lu, Wenbin Wu, Li Zhang, et al.
Science China Earth Sciences (2016) Vol. 59, Iss. 12, pp. 2307-2317
Closed Access | Times Cited: 53
An Optimal Sample Data Usage Strategy to Minimize Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed Data
Yingxin Gu, Bruce K. Wylie, Stephen P. Boyte, et al.
Remote Sensing (2016) Vol. 8, Iss. 11, pp. 943-943
Open Access | Times Cited: 51
Automatic High-Resolution Land Cover Production in Madagascar Using Sentinel-2 Time Series, Tile-Based Image Classification and Google Earth Engine
Meinan Zhang, Huabing Huang, Zhichao Li, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3663-3663
Open Access | Times Cited: 43
Towards user-adaptive remote sensing: Knowledge-driven automatic classification of Sentinel-2 time series
Damien Arvor, Julie Betbeder, Felipe R.G. Daher, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112615-112615
Open Access | Times Cited: 37
Analysis on Land-Use Change and Its Driving Mechanism in Xilingol, China, during 2000–2020 Using the Google Earth Engine
Junzhi Ye, Dafang Zhuang, Lin Zhen, et al.
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 5134-5134
Open Access | Times Cited: 35

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