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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:

Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine
Bakhtiar Feizizadeh, Davoud Omarzadeh, Mohammad Kazemi Garajeh, et al.
Journal of Environmental Planning and Management (2021) Vol. 66, Iss. 3, pp. 665-697
Closed Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

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: 142
Monitoring landuse change in Uchhali and Khabeki wetland lakes, Pakistan using remote sensing data
Rana Waqar Aslam, Hong Shu, Aqil Tariq, et al.
Gondwana Research (2024) Vol. 129, pp. 252-267
Closed Access | Times Cited: 50
An integrated approach of remote sensing and geospatial analysis for modeling and predicting the impacts of climate change on food security
Mohammad Kazemi Garajeh, Behnam Salmani, Saeid Zare Naghadehi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 47
Performance assessment of machine learning algorithms for mapping of land use/land cover using remote sensing data
Zeeshan Zafar, Muhammad Zubair, Yuanyuan Zha, et al.
The Egyptian Journal of Remote Sensing and Space Science (2024) Vol. 27, Iss. 2, pp. 216-226
Open Access | Times Cited: 26
Evaluation of agriculture land transformations with socio-economic influences on wheat demand and supply for food sustainability
Danish Raza, Hong Shu, Muhsan Ehsan, et al.
Cogent Food & Agriculture (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Cucumber Leaf Diseases Recognition Using Multi Level Deep Entropy-ELM Feature Selection
Muhammad Attique Khan, Abdullah Alqahtani, Aimal Khan, et al.
Applied Sciences (2022) Vol. 12, Iss. 2, pp. 593-593
Open Access | Times Cited: 59
Land use and land cover change and its impact on river morphology in Johor River Basin, Malaysia
Chuen Siang Kang, Kasturi Devi Kanniah
Journal of Hydrology Regional Studies (2022) Vol. 41, pp. 101072-101072
Open Access | Times Cited: 41
Monitoring Trends of CO, NO2, SO2, and O3 Pollutants Using Time-Series Sentinel-5 Images Based on Google Earth Engine
Mohammad Kazemi Garajeh, Giovanni Laneve, Hamid Reza Rezaei, et al.
Pollutants (2023) Vol. 3, Iss. 2, pp. 255-279
Open Access | Times Cited: 22
An integrated GEE and machine learning framework for detecting ecological stability under land use/land cover changes
Atiyeh Amindin, Narges Siamian, Narges Kariminejad, et al.
Global Ecology and Conservation (2024) Vol. 53, pp. e03010-e03010
Open Access | Times Cited: 8
A comparison of the integrated fuzzy object-based deep learning approach and three machine learning techniques for land use/cover change monitoring and environmental impacts assessment
Bakhtiar Feizizadeh, Keyvan Mohammadzade Alajujeh, Tobia Lakes, et al.
GIScience & Remote Sensing (2021) Vol. 58, Iss. 8, pp. 1543-1570
Closed Access | Times Cited: 42
QADI as a New Method and Alternative to Kappa for Accuracy Assessment of Remote Sensing-Based Image Classification
Bakhtiar Feizizadeh, Sadrolah Darabi, Thomas Blaschke, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4506-4506
Open Access | Times Cited: 31
ELULC-10, a 10 m European Land Use and Land Cover Map Using Sentinel and Landsat Data in Google Earth Engine
S. Mohammad Mirmazloumi, Mohammad Kakooei, Farzane Mohseni, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3041-3041
Open Access | Times Cited: 31
Application of Convolutional Neural Networks With Object-Based Image Analysis for Land Cover and Land Use Mapping in Coastal Areas: A Case Study in Ain Témouchent, Algeria
Narimane Zaabar, Simona Niculescu, Mustapha Kamel Mihoubi
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 5177-5189
Open Access | Times Cited: 31
A Novel Bottleneck Residual and Self-Attention Fusion-Assisted Architecture for Land Use Recognition in Remote Sensing Images
Ameer Hamza, Muhammad Attique Khan, Shams Ur Rehman, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 2995-3009
Open Access | Times Cited: 6
Spatial and temporal classification and prediction of LULC in Brahmani and Baitarni basin using integrated cellular automata models
Gorantla Indraja, Agarwal Aashi, Vamsi Krishna Vema
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 2
Closed Access | Times Cited: 6
Leveraging Machine Learning for Analyzing the Nexus Between Land Use and Land Cover Change, Land Surface Temperature And Biophysical Indices in an Eco-Sensitive Region of Brahmani-Dwarka Interfluve
Bhaskar Mandal
Results in Engineering (2024), pp. 102854-102854
Open Access | Times Cited: 6
Past and future land use change dynamics: assessing the impact of urban development on agricultural land in the Pantura Jabar region, Indonesia
Laju Gandharum, Djoko M. Hartono, Asep Karsidi, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 7
Closed Access | Times Cited: 5
Nanotechnology and LSTM machine learning algorithms in advanced fuel spray dynamics in CI engines with different bowl geometries
Harish Venu, Manzoore Elahi M. Soudagar, Tiong Sieh Kiong, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Assessment of forest cover dynamics for the detection of deforestation in the Hindu Kush Himalayan region using geospatial and machine learning approaches
Laxmi Gupta, Jagabandhu Dixit, Prem Chandra Pandey, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access
LiDAR-Based Climate Change Imaging in Geoscience Using Spatio Extreme Fuzzy Gradient Model
V. S. Krushnasamy, Omaia Al-Omari, Ajith Sundaram, et al.
Remote Sensing in Earth Systems Sciences (2025)
Closed Access
Assessment of Rapid Urbanization Effects on Land Use Dynamics: A Google Earth and GIS Approach in Kemalöz District, Uşak, Türkiye - An Earth Science Perspective
Ümit Yıldız
Düzce Üniversitesi Bilim ve Teknoloji Dergisi (2025) Vol. 13, Iss. 1, pp. 286-298
Open Access
Tracking land use land cover changes in the twin cities of Odisha, India using a machine learning based Google Earth Engine approach
Ajaya K. Nayak, Anil Kumar Kar
Urban Water Journal (2025), pp. 1-22
Closed Access
Investigating the relationship between land use and water quality in urban waterbodies
Omur Faruq, Md. Abdul Malak, Nahrin Jannat Hossain, et al.
Cleaner Water (2025), pp. 100070-100070
Open Access
Comparative evaluation of machine learning models for UAV-derived biomass estimation in Miombo Woodlands
Goodluck S. Melitha, Japhet J. Kashaigili, Wilson Ancelm Mugasha
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Cropland classification and water stress vulnerability assessment in arid environment of Churu district, India using machine learning approach
Zubairul Islam, Azizur Rehman Siddiqui, Sudhir Kumar Singh, et al.
Journal of Atmospheric and Solar-Terrestrial Physics (2025), pp. 106483-106483
Closed Access
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