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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.

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Showing 1-25 of 451 citing articles:

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: 442
A review on deep learning in UAV remote sensing
Lucas Prado Osco, José Marcato, Ana Paula Marques Ramos, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102456-102456
Open Access | Times Cited: 330
Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms
Andrea Tassi, Marco Vizzari
Remote Sensing (2020) Vol. 12, Iss. 22, pp. 3776-3776
Open Access | Times Cited: 278
Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 1: Literature Review
Aaron E. Maxwell, Timothy A. Warner, Luis Andrés Guillén
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2450-2450
Open Access | Times Cited: 201
Towards interpreting multi-temporal deep learning models in crop mapping
Jinfan Xu, Jie Yang, Xingguo Xiong, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112599-112599
Closed Access | Times Cited: 126
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
Land use/land cover and change detection mapping in Rahuri watershed area (MS), India using the google earth engine and machine learning approach
Chaitanya B. Pande
Geocarto International (2022) Vol. 37, Iss. 26, pp. 13860-13880
Closed Access | Times Cited: 91
A Systematic Review on Advancements in Remote Sensing for Assessing and Monitoring Land Use and Land Cover Changes Impacts on Surface Water Resources in Semi-Arid Tropical Environments
Makgabo Johanna Mashala, Timothy Dube, Bester Tawona Mudereri, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 3926-3926
Open Access | Times Cited: 77
Spatial-explicit carbon emission-sequestration balance estimation and evaluation of emission susceptible zones in an Eastern Himalayan city using Pressure-Sensitivity-Resilience framework: An approach towards achieving low carbon cities
Subrata Ghosh, Santanu Dinda, Nilanjana Das Chatterjee, et al.
Journal of Cleaner Production (2022) Vol. 336, pp. 130417-130417
Closed Access | Times Cited: 75
Generating annual high resolution land cover products for 28 metropolises in China based on a deep super-resolution mapping network using Landsat imagery
Da He, Qian Shi, Xiaoping Liu, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 2036-2067
Open Access | Times Cited: 72
Effects of urbanisation on ecosystem service values: A case study of Nha Trang, Vietnam.
Phạm Trung Kiên, Tang-Huang Lin
Land Use Policy (2023) Vol. 128, pp. 106599-106599
Open Access | Times Cited: 50
Challenges in the real world use of classification accuracy metrics: From recall and precision to the Matthews correlation coefficient
Giles M. Foody
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0291908-e0291908
Open Access | Times Cited: 42
Accounting for Training Data Error in Machine Learning Applied to Earth Observations
Arthur Elmes, Hamed Alemohammad, Ryan Avery, et al.
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 1034-1034
Open Access | Times Cited: 76
Spatial dependence between training and test sets: another pitfall of classification accuracy assessment in remote sensing
Nicolas Karasiak, Jean-François Dejoux, Claude Monteil, et al.
Machine Learning (2021) Vol. 111, Iss. 7, pp. 2715-2740
Open Access | Times Cited: 75
Urban tree species classification using UAV-based multi-sensor data fusion and machine learning
Sean Hartling, Vasit Sagan, Maitiniyazi Maimaitijiang
GIScience & Remote Sensing (2021) Vol. 58, Iss. 8, pp. 1250-1275
Open Access | Times Cited: 73
Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 2: Recommendations and Best Practices
Aaron E. Maxwell, Timothy A. Warner, Luis Andrés Guillén
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2591-2591
Open Access | Times Cited: 70
Comparison of Support Vector Machines and Random Forests for Corine Land Cover Mapping
Anca Dabija, Marcin Kluczek, Bogdan Zagajewski, et al.
Remote Sensing (2021) Vol. 13, Iss. 4, pp. 777-777
Open Access | Times Cited: 69
A deep learning convolutional neural network algorithm for detecting saline flow sources and mapping the environmental impacts of the Urmia Lake drought in Iran
Bakhtiar Feizizadeh, Mohammad Kazemi Garajeh, Tobia Lakes, et al.
CATENA (2021) Vol. 207, pp. 105585-105585
Closed Access | Times Cited: 66
A hybrid model of ghost-convolution enlightened transformer for effective diagnosis of grape leaf disease and pest
Xiangyu Lǚ, Rui Yang, Jun Zhou, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 5, pp. 1755-1767
Open Access | Times Cited: 60
PlanetScope, Sentinel-2, and Sentinel-1 Data Integration for Object-Based Land Cover Classification in Google Earth Engine
Marco Vizzari
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2628-2628
Open Access | Times Cited: 60
Automatic flood detection using sentinel-1 images on the google earth engine
Meysam Moharrami, Mohammad Javanbakht, Sara Attarchi
Environmental Monitoring and Assessment (2021) Vol. 193, Iss. 5
Closed Access | Times Cited: 57
Land use/land cover (LULC) analysis (2009–2019) with Google Earth Engine and 2030 prediction using Markov-CA in the Rondônia State, Brazil
Isabela Xavier Floreano, Luzia Alice Ferreira de Moraes
Environmental Monitoring and Assessment (2021) Vol. 193, Iss. 4
Closed Access | Times Cited: 56
Two decades of land cover mapping in the Río de la Plata grassland region: The MapBiomas Pampa initiative
Santiago Baeza, Eduardo Vélez‐Martin, Diego de Abelleyra, et al.
Remote Sensing Applications Society and Environment (2022) Vol. 28, pp. 100834-100834
Open Access | Times Cited: 48
Comparison of statistical and MCDM approaches for flood susceptibility mapping in northern Iran
S. Mostafa Mousavi, Behzad Ataie‐Ashtiani, Seiyed Mossa Hosseini
Journal of Hydrology (2022) Vol. 612, pp. 128072-128072
Closed Access | Times Cited: 44
Machine learning-based monitoring and modeling for spatio-temporal urban growth of Islamabad
Adeer Khan, Mehran Sudheer
The Egyptian Journal of Remote Sensing and Space Science (2022) Vol. 25, Iss. 2, pp. 541-550
Open Access | Times Cited: 40
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