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 1-25 of 186 citing articles:

Global land cover mapping at 30m resolution: A POK-based operational approach
Jun Chen, Jin Chen, Anping Liao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2014) Vol. 103, pp. 7-27
Open Access | Times Cited: 1861

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

Annual dynamics of global land cover and its long-term changes from 1982 to 2015
Han Liu, Peng Gong, Jie Wang, et al.
Earth system science data (2020) Vol. 12, Iss. 2, pp. 1217-1243
Open Access | Times Cited: 327

Monitoring land use and land cover changes in the mountainous cities of Oman using GIS and CA-Markov modelling techniques
Shawky Mansour, Mohammed Ali K. Al-Belushi, Talal Al‐Awadhi
Land Use Policy (2019) Vol. 91, pp. 104414-104414
Closed Access | Times Cited: 302

Changes in forest production, biomass and carbon: Results from the 2015 UN FAO Global Forest Resource Assessment
Michael Köhl, Rodel D. Lasco, Miguel Cifuentes, et al.
Forest Ecology and Management (2015) Vol. 352, pp. 21-34
Open Access | Times Cited: 263

An overview of 21 global and 43 regional land-cover mapping products
George Grekousis, Giorgos Mountrakis, Marinos Kavouras
International Journal of Remote Sensing (2015) Vol. 36, Iss. 21, pp. 5309-5335
Closed Access | Times Cited: 244

Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects
Junye Wang, Michael Bretz, M. Ali Akber Dewan, et al.
The Science of The Total Environment (2022) Vol. 822, pp. 153559-153559
Closed Access | Times Cited: 244

Assessing change in national forest monitoring capacities of 99 tropical countries
Erika Romijn, C. B. Lantican, Martin Herold, et al.
Forest Ecology and Management (2015) Vol. 352, pp. 109-123
Open Access | Times Cited: 212

Using Landsat and nighttime lights for supervised pixel-based image classification of urban land cover
Ran Goldblatt, Michelle Stuhlmacher, Beth Tellman, et al.
Remote Sensing of Environment (2017) Vol. 205, pp. 253-275
Open Access | Times Cited: 196

Analysis and Applications of GlobeLand30: A Review
Jun Chen, Xin Cao, Peng Shu, et al.
ISPRS International Journal of Geo-Information (2017) Vol. 6, Iss. 8, pp. 230-230
Open Access | Times Cited: 185

Global land cover mapping using Earth observation satellite data: Recent progresses and challenges
Yifang Ban, Peng Gong, Chandra Giri
ISPRS Journal of Photogrammetry and Remote Sensing (2015) Vol. 103, pp. 1-6
Open Access | Times Cited: 182

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

Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery
R Malinowski, Stanisław Lewiński, Marcin Rybicki, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3523-3523
Open Access | Times Cited: 159

Land use/land cover prediction and analysis of the middle reaches of the Yangtze River under different scenarios
Shengqing Zhang, Peng Yang, Jun Xia, et al.
The Science of The Total Environment (2022) Vol. 833, pp. 155238-155238
Closed Access | Times Cited: 146

Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine
Arsalan Ghorbanian, Soheil Zaghian, Reza Mohammadi Asiyabi, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2565-2565
Open Access | Times Cited: 128

Cross-resolution national-scale land-cover mapping based on noisy label learning: A case study of China
Yinhe Liu, Yanfei Zhong, Ailong Ma, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103265-103265
Open Access | Times Cited: 55

Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing
Alemayehu Midekisa, Felix Holl, D J Savory, et al.
PLoS ONE (2017) Vol. 12, Iss. 9, pp. e0184926-e0184926
Open Access | Times Cited: 162

Characterizing geomorphological change to support sustainable river restoration and management
Robert Grabowski, Nicola Surian, Angela M. Gurnell
Wiley Interdisciplinary Reviews Water (2014) Vol. 1, Iss. 5, pp. 483-512
Closed Access | Times Cited: 148

Land-cover change analysis in 50 global cities by using a combination of Landsat data and analysis of grid cells
Hasi Bagan, Yoshiki Yamagata
Environmental Research Letters (2014) Vol. 9, Iss. 6, pp. 064015-064015
Open Access | Times Cited: 136

Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity
François Waldner, Diego de Abelleyra, Santiago R. Verón, et al.
International Journal of Remote Sensing (2016) Vol. 37, Iss. 14, pp. 3196-3231
Open Access | Times Cited: 118

Spaceborne SAR data for global urban mapping at 30m resolution using a robust urban extractor
Yifang Ban, Alexander Jacob, Paolo Gamba
ISPRS Journal of Photogrammetry and Remote Sensing (2014) Vol. 103, pp. 28-37
Closed Access | Times Cited: 116

Annual large-scale urban land mapping based on Landsat time series in Google Earth Engine and OpenStreetMap data: A case study in the middle Yangtze River basin
Dandan Liu, Nengcheng Chen, Xiang Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 159, pp. 337-351
Closed Access | Times Cited: 112

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