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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:

Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results
Meisam Amani, Sahel Mahdavi, Majid Afshar, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 842-842
Open Access | Times Cited: 192

Showing 1-25 of 192 citing articles:

Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review
Meisam Amani, Arsalan Ghorbanian, Seyed Ali Ahmadi, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 5326-5350
Open Access | Times Cited: 807
Land Cover Classification using Google Earth Engine and Random Forest Classifier—The Role of Image Composition
Thanh Noi Phan, Verena Kuch, Lukas Lehnert
Remote Sensing (2020) Vol. 12, Iss. 15, pp. 2411-2411
Open Access | Times Cited: 441
National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat 8 OLI images
Dehua Mao, Zongming Wang, Baojia Du, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 164, pp. 11-25
Open Access | Times Cited: 311
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: 266
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: 179
Urban Land Use and Land Cover Change Analysis Using Random Forest Classification of Landsat Time Series
Saeid B. Amini, Mohsen Saber, Hamidreza Rabiei‐Dastjerdi, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2654-2654
Open Access | Times Cited: 157
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: 150
Comparing Deep Learning and Shallow Learning for Large-Scale Wetland Classification in Alberta, Canada
Evan R. DeLancey, John F. Simms, Masoud Mahdianpari, et al.
Remote Sensing (2019) Vol. 12, Iss. 1, pp. 2-2
Open Access | Times Cited: 148
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: 126
Wildfire Damage Assessment over Australia Using Sentinel-2 Imagery and MODIS Land Cover Product within the Google Earth Engine Cloud Platform
Seyd Teymoor Seydi, Mehdi Akhoondzadeh, Meisam Amani, et al.
Remote Sensing (2021) Vol. 13, Iss. 2, pp. 220-220
Open Access | Times Cited: 110
Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M)
Zhen Zhang, Etienne Fluet‐Chouinard, Katherine Jensen, et al.
Earth system science data (2021) Vol. 13, Iss. 5, pp. 2001-2023
Open Access | Times Cited: 109
Google Earth Engine for large-scale land use and land cover mapping: an object-based classification approach using spectral, textural and topographical factors
Hossein Shafizadeh‐Moghadam, Morteza Khazaei, Seyed Kazem Alavipanah, et al.
GIScience & Remote Sensing (2021) Vol. 58, Iss. 6, pp. 914-928
Open Access | Times Cited: 104
GWL_FCS30: a global 30 m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020
Xiao Zhang, Liangyun Liu, Tingting Zhao, et al.
Earth system science data (2023) Vol. 15, Iss. 1, pp. 265-293
Open Access | Times Cited: 84
Google Earth Engine: A Global Analysis and Future Trends
Andrés Velástegui-Montoya, Néstor Montalván-Burbano, Paúl Carrión-Mero, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3675-3675
Open Access | Times Cited: 73
Google Earth Engine-based mapping of land use and land cover for weather forecast models using Landsat 8 imagery
Mohammad Ganjirad, Hossein Bagheri
Ecological Informatics (2024) Vol. 80, pp. 102498-102498
Open Access | Times Cited: 19
Comparison between random forest and support vector machine algorithms for LULC classification
Cengiz Avci, Muhammed BUDAK, Nur Yağmur, et al.
International Journal of Engineering and Geosciences (2021) Vol. 8, Iss. 1, pp. 1-10
Open Access | Times Cited: 97
Continental-Scale Land Cover Mapping at 10 m Resolution Over Europe (ELC10)
Zander S. Venter, Markus A. K. Sydenham
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2301-2301
Open Access | Times Cited: 89
Comparison of multi-source satellite images for classifying marsh vegetation using DeepLabV3 Plus deep learning algorithm
Man Liu, Bolin Fu, Shuyu Xie, et al.
Ecological Indicators (2021) Vol. 125, pp. 107562-107562
Open Access | Times Cited: 88
Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada
Meisam Amani, Mohammad Kakooei, Armin Moghimi, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3561-3561
Open Access | Times Cited: 85
MAPPING VEGETATION COMMUNITIES INSIDE WETLANDS USING SENTINEL-2 IMAGERY IN IRELAND
Saheba Bhatnagar, Laurence Gill, Shane Regan, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 88, pp. 102083-102083
Open Access | Times Cited: 82
A generalized supervised classification scheme to produce provincial wetland inventory maps: an application of Google Earth Engine for big geo data processing
Meisam Amani, Brian Brisco, Majid Afshar, et al.
Big Earth Data (2019) Vol. 3, Iss. 4, pp. 378-394
Open Access | Times Cited: 81
A nested drone-satellite approach to monitoring the ecological conditions of wetlands
Saheba Bhatnagar, Laurence Gill, Shane Regan, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 174, pp. 151-165
Open Access | Times Cited: 63
Downscaling MODIS Land Surface Temperature Product Using an Adaptive Random Forest Regression Method and Google Earth Engine for a 19-Years Spatiotemporal Trend Analysis Over Iran
Hamid Ebrahimy, Hossein Aghighi, Mohsen Azadbakht, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 2103-2112
Open Access | Times Cited: 56
Machine learning-based spatial-temporal assessment and change transition analysis of wetlands: An application of Google Earth Engine in Sylhet, Bangladesh (1985–2022)
Mirza Waleed, Muhammad Sajjad, Muhammad Shareef Shazil, et al.
Ecological Informatics (2023) Vol. 75, pp. 102075-102075
Closed Access | Times Cited: 35
Quantifying urban heat island and pollutant nexus: A novel geospatial approach
K. S. Arunab, Aneesh Mathew
Sustainable Cities and Society (2023) Vol. 101, pp. 105117-105117
Closed Access | Times Cited: 24
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