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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:

Collect Earth: Land Use and Land Cover Assessment through Augmented Visual Interpretation
Adia Bey, Alfonso Sánchez-Paus Díaz, Danae Maniatis, et al.
Remote Sensing (2016) Vol. 8, Iss. 10, pp. 807-807
Open Access | Times Cited: 241

Showing 26-50 of 241 citing articles:

The large footprint of small-scale artisanal gold mining in Ghana
Abigail Barenblitt, Amanda Payton, David Lagomasino, et al.
The Science of The Total Environment (2021) Vol. 781, pp. 146644-146644
Open Access | Times Cited: 73
Continental-scale wetland mapping: A novel algorithm for detailed wetland types classification based on time series Sentinel-1/2 images
Kaifeng Peng, Weiguo Jiang, Peng Hou, et al.
Ecological Indicators (2023) Vol. 148, pp. 110113-110113
Open Access | Times Cited: 36
Crop mapping using supervised machine learning and deep learning: a systematic literature review
Mouad Alami Machichi, Loubna El Mansouri, Yasmina Imani, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 8, pp. 2717-2753
Open Access | Times Cited: 26
CCropLand30: High-resolution hybrid cropland maps of China created through the synergy of state-of-the-art remote sensing products and the latest national land survey
Ling Zhang, Weiguo Wang, Qimin Ma, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108672-108672
Closed Access | Times Cited: 10
Mapping Remote Roads Using Artificial Intelligence and Satellite Imagery
Sean Sloan, Raiyan R. Talkhani, Tao Huang, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 839-839
Open Access | Times Cited: 10
Large-scale earth observation and monitoring of riparian zone land-cover changes in Türkiye
Ayhan Ateşoğlu, Fidan Şevval Bulut, Barış Özel, et al.
International Journal of Environmental Science and Technology (2025)
Open Access | Times Cited: 1
Participatory mapping of forest plantations with Open Foris and Google Earth Engine
Joni Koskinen, Ulpu Leinonen, Andreas Vollrath, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 148, pp. 63-74
Open Access | Times Cited: 78
Mapping Land Use Land Cover Change in the Lower Mekong Basin From 1997 to 2010
Joseph P. Spruce, John Bolten, Ibrahim Nourein Mohammed, et al.
Frontiers in Environmental Science (2020) Vol. 8
Open Access | Times Cited: 68
Determination of Vegetation Thresholds for Assessing Land Use and Land Use Changes in Cambodia using the Google Earth Engine Cloud-Computing Platform
Manjunatha Venkatappa, Nophea Sasaki, Rajendra P. Shrestha, et al.
Remote Sensing (2019) Vol. 11, Iss. 13, pp. 1514-1514
Open Access | Times Cited: 66
Sustainability in the Food-Water-Ecosystem Nexus: The Role of Land Use and Land Cover Change for Water Resources and Ecosystems in the Kilombero Wetland, Tanzania
Constanze Leemhuis, Frank Thonfeld, Kristian Näschen, et al.
Sustainability (2017) Vol. 9, Iss. 9, pp. 1513-1513
Open Access | Times Cited: 64
Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery in Google Earth and Microsoft Bing Maps as a Source of Reference Data
Myroslava Lesiv, Linda See, Juan Carlos Laso Bayas, et al.
Land (2018) Vol. 7, Iss. 4, pp. 118-118
Open Access | Times Cited: 64
Improved estimates of mangrove cover and change reveal catastrophic deforestation in Myanmar
Jose Don T. De Alban, Johanness Jamaludin, Donovan Wong de Wen, et al.
Environmental Research Letters (2019) Vol. 15, Iss. 3, pp. 034034-034034
Open Access | Times Cited: 61
Global high-resolution mountain green cover index mapping based on Landsat images and Google Earth Engine
Jinhu Bian, Ainong Li, Guangbin Lei, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 162, pp. 63-76
Closed Access | Times Cited: 58
Assessing SAR C-band data to effectively distinguish modified land uses in a heavily disturbed Amazon forest
Andréa Puzzi Nicolau, Africa Flores-Anderson, Robert Griffin, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 94, pp. 102214-102214
Open Access | Times Cited: 58
A cultivated planet in 2010 – Part 1: The global synergy cropland map
Miao Lu, Wenbin Wu, Liangzhi You, et al.
Earth system science data (2020) Vol. 12, Iss. 3, pp. 1913-1928
Open Access | Times Cited: 57
Mapping Land Use/Land Cover Changes and Forest Disturbances in Vietnam Using a Landsat Temporal Segmentation Algorithm
Katsuto Shimizu, Wataru Murakami, Takahisa Furuichi, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 851-851
Open Access | Times Cited: 20
A national-scale assessment of land use change in peatlands between 1989 and 2020 using Landsat data and Google Earth Engine—a case study of Ireland
Wahaj Habib, John Connolly
Regional Environmental Change (2023) Vol. 23, Iss. 4
Open Access | Times Cited: 19
The global biogeography and environmental drivers of fairy circles
Emilio Guirado, Manuel Delgado‐Baquerizo, Blas M. Benito, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 40
Open Access | Times Cited: 18
Estimating urban vegetation fraction across 25 cities in pan-Pacific using Landsat time series data
Yuhao Lu, Nicholas C. Coops, Txomin Hermosilla
ISPRS Journal of Photogrammetry and Remote Sensing (2017) Vol. 126, pp. 11-23
Closed Access | Times Cited: 58
An assessment of the impact of urbanization and land use changes in the fast-growing cities of Saudi Arabia
Abdullah F. Alqurashi, Lalit Kumar
Geocarto International (2017) Vol. 34, Iss. 1, pp. 78-97
Closed Access | Times Cited: 53
People and Pixels 20 years later: the current data landscape and research trends blending population and environmental data
Tracy A. Kugler, Kathryn Grace, David Wrathall, et al.
Population and Environment (2019) Vol. 41, Iss. 2, pp. 209-234
Closed Access | Times Cited: 52
Contextualizing Landscape-Scale Forest Cover Loss in the Democratic Republic of Congo (DRC) between 2000 and 2015
Giuseppe Molinario, Matthew C. Hansen, Peter Potapov, et al.
Land (2020) Vol. 9, Iss. 1, pp. 23-23
Open Access | Times Cited: 50
Toward Operational Mapping of Woody Canopy Cover in Tropical Savannas Using Google Earth Engine
J. Anchang, Lara Prihodko, Wenjie Ji, et al.
Frontiers in Environmental Science (2020) Vol. 8
Open Access | Times Cited: 49
AgKit4EE: A toolkit for agricultural land use modeling of the conterminous United States based on Google Earth Engine
Chen Zhang, Liping Di, Zhengwei Yang, et al.
Environmental Modelling & Software (2020) Vol. 129, pp. 104694-104694
Open Access | Times Cited: 48
Recent Advances in Forest Observation with Visual Interpretation of Very High-Resolution Imagery
Dmitry Schepaschenko, Linda See, Myroslava Lesiv, et al.
Surveys in Geophysics (2019) Vol. 40, Iss. 4, pp. 839-862
Open Access | Times Cited: 47

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