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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:

Development of classification system for LULC using remote sensing and GIS
Eman A. Alshari, Bharti W. Gawali
Global Transitions Proceedings (2021) Vol. 2, Iss. 1, pp. 8-17
Open Access | Times Cited: 121

Showing 1-25 of 121 citing articles:

Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives
Yassine Himeur, Bhagawat Rimal, Abhishek Tiwary, et al.
Information Fusion (2022) Vol. 86-87, pp. 44-75
Closed Access | Times Cited: 131
Delineation of Groundwater Potential Zones (GWPZs) in a Semi-Arid Basin through Remote Sensing, GIS, and AHP Approaches
José Luis Uc Castillo, Diego Armando Martínez Cruz, José Alfredo Ramos‐Leal, et al.
Water (2022) Vol. 14, Iss. 13, pp. 2138-2138
Open Access | Times Cited: 77
Future Scenarios of Land Use/Land Cover (LULC) Based on a CA-Markov Simulation Model: Case of a Mediterranean Watershed in Morocco
Mohamed Beroho, Hamza Briak, El Khalil Cherif, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1162-1162
Open Access | Times Cited: 64
Development of a map for land use and land cover classification of the Northern Border Region using remote sensing and GIS
Abdulbasit A. Darem, Asma A. Alhashmi, Aloyoun M. Almadani, et al.
The Egyptian Journal of Remote Sensing and Space Science (2023) Vol. 26, Iss. 2, pp. 341-350
Open Access | Times Cited: 47
Land use and land cover (LULC) performance modeling using machine learning algorithms: a case study of the city of Melbourne, Australia
Jagannath Aryal, Chiranjibi Sitaula, Alejandro C. Frery
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 43
An extensive review of hyperspectral image classification and prediction: techniques and challenges
Ganji Tejasree, L. Agilandeeswari
Multimedia Tools and Applications (2024) Vol. 83, Iss. 34, pp. 80941-81038
Closed Access | Times Cited: 34
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: 3
Comparing Pan-sharpened Landsat-9 and Sentinel-2 for Land-Use Classification Using Machine Learning Classifiers
Yassine Bouslıhım, Mohamed Hakim Kharrou, Abdelhalim Miftah, et al.
Journal of Geovisualization and Spatial Analysis (2022) Vol. 6, Iss. 2
Closed Access | Times Cited: 39
Classification of land use/land cover using artificial intelligence (ANN-RF)
Eman A. Alshari, Mohammed Basil Abdulkareem, Bharti W. Gawali
Frontiers in Artificial Intelligence (2023) Vol. 5
Open Access | Times Cited: 26
A multi-layer perceptron–Markov chain based LULC change analysis and prediction using remote sensing data in Prayagraj district, India
Vivek Kumar, Sonam Agrawal
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 5
Closed Access | Times Cited: 25
A new approach towards the sustainability of urban-rural integration: The development strategy for central villages in the Abbasiya District of Iraq using GIS techniques
Ahmed Hussein Allawi, Haider Mohammed Jawad Al-Jazaeri
Regional Sustainability (2023) Vol. 4, Iss. 1, pp. 28-43
Open Access | Times Cited: 23
Comparative analysis of sensors and classification algorithms for land cover classification in Islamabad, Pakistan
Khadim Hussain, Tariq Badshah, Kaleem Mehmood, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access | Times Cited: 1
Transfer Learning Models for Land Cover and Land Use Classification in Remote Sensing Image
Abebaw Alem, Shailender Kumar
Applied Artificial Intelligence (2021) Vol. 36, Iss. 1
Open Access | Times Cited: 45
Dimensionality reduction strategies for land use land cover classification based on airborne hyperspectral imagery: a survey
Mohammed Abdulmajeed Moharram, Divya Meena Sundaram
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 3, pp. 5580-5602
Closed Access | Times Cited: 28
Dynamics of land use and land cover change in peri urban area of Burdwan city, India: a remote sensing and GIS based approach
Mohammad Arif, Soumita Sengupta, Sk Mohinuddin, et al.
GeoJournal (2023) Vol. 88, Iss. 4, pp. 4189-4213
Closed Access | Times Cited: 22
Using Landsat-5 for Accurate Historical LULC Classification: A Comparison of Machine Learning Models
Денис Кривогуз, Sergei Chernyi, Elena Zinchenko, et al.
Data (2023) Vol. 8, Iss. 9, pp. 138-138
Open Access | Times Cited: 19
An evaluative technique for drought impact on variation in agricultural LULC using remote sensing and machine learning
Musa Mustapha, Mhamed Zineddine
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 6
Closed Access | Times Cited: 8
Carbon stock dynamics in a changing land use land cover of the Upper Awash River Basin: Implications for climate change management
Fekadu Legesse, Sileshi Degefa, Teshome Soromessa
Sustainable Environment (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 6
Modeling Land Use Change in Sana’a City of Yemen with MOLUSCE
Eman A. Alshari, Bharti W. Gawali
Journal of Sensors (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 24
Spatial–Temporal and Driving Factors of Land Use/Cover Change in Mongolia from 1990 to 2021
Junming Hao, Qingrun Lin, Tonghua Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1813-1813
Open Access | Times Cited: 16
A NEW APPROACH FOR MAPPING LAND USE / LAND COVER USING GOOGLE EARTH ENGINE: A COMPARISON OF COMPOSITION IMAGES
E. M. Sellami, H. Rhinane
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. XLVIII-4/W6-2022, pp. 343-349
Open Access | Times Cited: 13
Comprehensive analysis of land use and cover dynamics in djibouti using machine learning technique: A multi-temporal assessment from 1990 to 2023
Santa Pandit, Sawahiko Shimada, Timothy Dube
Environmental Challenges (2024) Vol. 15, pp. 100920-100920
Open Access | Times Cited: 5
A machine learning approach to monitoring and forecasting spatio-temporal dynamics of land cover in Cox's Bazar district, Bangladesh from 2001 to 2019
Bishal Roy
Environmental Challenges (2021) Vol. 5, pp. 100237-100237
Open Access | Times Cited: 27
Urban modelling and forecasting of landuse using SLEUTH model
Vivek Kumar, Sonam Agrawal
International Journal of Environmental Science and Technology (2022) Vol. 20, Iss. 6, pp. 6499-6518
Open Access | Times Cited: 19
Mapping cropland extent using sentinel-2 datasets and machine learning algorithms for an agriculture watershed
Chirasmayee Savitha, Reshma Talari
Smart Agricultural Technology (2023) Vol. 4, pp. 100193-100193
Open Access | Times Cited: 11
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