Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Mapping and quantifying agricultural irrigation in heterogeneous landscapes using Google Earth Engine
Hamdi A. Zurqani, Jeffrey S. Allen, Christopher J. Post, et al.
Remote Sensing Applications Society and Environment (2021) Vol. 23, pp. 100590-100590
Open Access | Times Cited: 22

Showing 22 citing articles:

Towards automation of in-season crop type mapping using spatiotemporal crop information and remote sensing data
Chen Zhang, Liping Di, Li Lin, et al.
Agricultural Systems (2022) Vol. 201, pp. 103462-103462
Open Access | Times Cited: 78
Random Forest Classification of Land Use, Land-Use Change and Forestry (LULUCF) Using Sentinel-2 Data—A Case Study of Czechia
Jan Svoboda, Přemysl Štych, Josef Laštovička, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1189-1189
Open Access | Times Cited: 56
Synthesizing regional irrigation data using machine learning – Towards global upscaling via metamodeling
Søren Julsgaard Kragh, Raphael Schneider, Rasmus Fensholt, et al.
Agricultural Water Management (2025) Vol. 311, pp. 109404-109404
Open Access | Times Cited: 1
Unlocking the floating photovoltaic potential of Türkiye's hydroelectric power plants
Ali Ateş
Renewable Energy (2022) Vol. 199, pp. 1495-1509
Closed Access | Times Cited: 25
Irrigation Detection Using Sentinel-1 and Sentinel-2 Time Series on Fruit Tree Orchards
Amal Chakhar, David Hernández‐López, Rocío Ballesteros, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 458-458
Open Access | Times Cited: 5
Mapping of irrigated vineyard areas through the use of machine learning techniques and remote sensing
Esther López-Pérez, Carles Sanchís Ibor, M.A. Jiménez-Bello, et al.
Agricultural Water Management (2024) Vol. 302, pp. 108988-108988
Open Access | Times Cited: 5
Google Earth Engine and artificial intelligence for SDGs
Yusuf A. Aina, Syed Masiur Rahman, Shamsudeen Temitope Yekeen, et al.
Elsevier eBooks (2025), pp. 115-131
Closed Access
Cloud computing platforms–based remote sensing big data applications
Swati Suman, Swati Maurya, Varsha Pandey, et al.
Elsevier eBooks (2025), pp. 77-88
Closed Access
Assessment and monitoring of forest fire using vegetation indices and AI/ML techniques over google earth engine
Anubhava Srivastava, Amrit Suman, Susham Biswas
Elsevier eBooks (2025), pp. 269-285
Closed Access
Deep Learning-based Near-real-time Monitoring of Autumn Irrigation Extent at Sub-pixel Scale in a Large Irrigation District
Ximin Qian, Hongwei Qi, Songhao Shang, et al.
Agricultural Water Management (2023) Vol. 284, pp. 108335-108335
Open Access | Times Cited: 10
Mapping Irrigated Areas Based on Remotely Sensed Crop Phenology and Soil Moisture
Wenjun Zuo, Jingjing Mao, Jiaqi Lü, et al.
Agronomy (2023) Vol. 13, Iss. 6, pp. 1556-1556
Open Access | Times Cited: 8
A stand-alone remote sensing approach based on the use of the optical trapezoid model for detecting the irrigated areas
Giuseppe Longo-Minnolo, Simona Consoli, Daniela Vanella, et al.
Agricultural Water Management (2022) Vol. 274, pp. 107975-107975
Open Access | Times Cited: 14
AI-Driven Environmental Monitoring Using Google Earth Engine
Anubhava Srivastava, H. Sharma
Smart sensors, measurement and instrumentation (2024), pp. 375-385
Closed Access | Times Cited: 2
Quantification of unreported water use for supplemental crop irrigation in humid climates using publicly available agricultural data
Laljeet Sangha, Julie Shortridge
Agricultural Water Management (2023) Vol. 287, pp. 108402-108402
Open Access | Times Cited: 4
Detection of Large-Scale Floods Using Google Earth Engine and Google Colab
Rosa Johary, Christophe Révillion, Thibault Catry, et al.
Remote Sensing (2023) Vol. 15, Iss. 22, pp. 5368-5368
Open Access | Times Cited: 4
Advancing in satellite-based models coupled with reanalysis agrometeorological data for improving the irrigation management under the European Water Framework Directive
Giuseppe Longo-Minnolo, A. D’Emilio, Daniela Vanella, et al.
Agricultural Water Management (2024) Vol. 301, pp. 108955-108955
Open Access | Times Cited: 1
Dynamics of Irrigated Land Expansion in the Ouémé River Basin Using Field and Remote Sensing Data in the Google Earth Engine
David Houéwanou Ahoton, Taofic Bacharou, Aymar Yaovi Bossa, et al.
Land (2024) Vol. 13, Iss. 11, pp. 1926-1926
Open Access | Times Cited: 1
Comparison of Google Earth Engine Machine Learning Algorithms for Mapping Smallholder Irrigated Areas in a Mountainous Watershed, Upper Blue Nile Basin, Ethiopia
Yilkal Gebeyehu Mekonnen, Tena Alamirew, Abebe Demissie Chukalla, et al.
Journal of the Indian Society of Remote Sensing (2024) Vol. 52, Iss. 3, pp. 569-582
Closed Access | Times Cited: 1
Mapping Irrigated Croplands from Sentinel-2 Images Using Deep Convolutional Neural Networks
Wei Li, Ying Sun, Yanqing Zhou, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4071-4071
Open Access | Times Cited: 3
Mapping Small-Scale Irrigation Areas Using Expert Decision Rules and the Random Forest Classifier in Northern Ethiopia
Amina Abdelkadir Mohammedshum, B.H.P. Maathuis, Chris M. Mannaerts, et al.
Remote Sensing (2023) Vol. 15, Iss. 24, pp. 5647-5647
Open Access | Times Cited: 2
Regional-scale evaluation of tertiary irrigation system in Muda Irrigation Scheme from space
Aliya Mhd Zahir, Hiroaki Somura, Toshitsugu Moroizumi
Agricultural Water Management (2024) Vol. 306, pp. 109175-109175
Open Access
Research on Fuzzy Control System of Intelligent Irrigation Based on Soil Moisture
Xunying Zhang, Yafei Zhao
Journal of Engineering Research and Reports (2022), pp. 19-28
Open Access
Page 1

Scroll to top