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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:

Is It Possible to Quantify Irrigation Water‐Use by Assimilating a High‐Resolution Satellite Soil Moisture Product?
Ehsan Jalilvand, Ronnie Abolafia‐Rosenzweig, Massoud Tajrishy, et al.
Water Resources Research (2023) Vol. 59, Iss. 4
Open Access | Times Cited: 23

Showing 23 citing articles:

A multi-scale algorithm for the NISAR mission high-resolution soil moisture product
Preet Lal, Gurjeet Singh, Narendra N. Das, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113667-113667
Open Access | Times Cited: 32
Evaluation of data assimilation strategies on improving the performance of crop modeling based on a novel evapotranspiration assimilation framework
Cheng Yang, Huimin Lei
Agricultural and Forest Meteorology (2024) Vol. 346, pp. 109882-109882
Open Access | Times Cited: 13
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
Prediction of Root-Zone Soil Moisture and Evapotranspiration in Cropland Using HYDRUS-1D Model with Different Soil Hydrodynamic Parameter Schemes
Qian‐Yu Liao, Pei Leng, Zhao‐Liang Li, et al.
Water (2025) Vol. 17, Iss. 5, pp. 730-730
Open Access | Times Cited: 1
An inter-comparison of approaches and frameworks to quantify irrigation from satellite data
Søren Julsgaard Kragh, Jacopo Dari, Sara Modanesi, et al.
Hydrology and earth system sciences (2024) Vol. 28, Iss. 3, pp. 441-457
Open Access | Times Cited: 8
Retrieving the irrigation actually applied at district scale: Assimilating high-resolution Sentinel-1-derived soil moisture data into a FAO-56-based model
Pierre Laluet, Luis Olivera-Guerra, Víctor Altés, et al.
Agricultural Water Management (2024) Vol. 293, pp. 108704-108704
Open Access | Times Cited: 7
Assimilation of Sentinel‐Based Leaf Area Index for Modeling Surface‐Ground Water Interactions in Irrigation Districts
Nima Zafarmomen, Hosein Alizadeh, Mehrad Bayat, et al.
Water Resources Research (2024) Vol. 60, Iss. 10
Open Access | Times Cited: 7
Multi-Scale domain adaptation for high-resolution soil moisture retrieval from synthetic aperture radar in data-scarce regions
Liujun Zhu, Qi Cai, Junliang Jin, et al.
Journal of Hydrology (2025), pp. 133073-133073
Closed Access
Estimating irrigation water use from remotely sensed evapotranspiration data: Accuracy and uncertainties at field, water right, and regional scales
Samuel C. Zipper, Jude H. Kastens, Timothy Foster, et al.
Agricultural Water Management (2024) Vol. 303, pp. 109036-109036
Open Access | Times Cited: 3
Impact of SAR-based vegetation attributes on the SMAP high-resolution soil moisture product
Gurjeet Singh, Narendra N. Das, Andreas Colliander, et al.
Remote Sensing of Environment (2023) Vol. 298, pp. 113826-113826
Open Access | Times Cited: 7
Estimating multi-scale irrigation amounts using multi-resolution soil moisture data: A data-driven approach using PrISM
Giovanni Paolini, Maria‐José Escorihuela, Olivier Merlin, et al.
Agricultural Water Management (2023) Vol. 290, pp. 108594-108594
Open Access | Times Cited: 6
PrISM at Operational Scale: Monitoring Irrigation District Water Use during Droughts
Giovanni Paolini, Maria‐José Escorihuela, Joaquim Bellvert, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1116-1116
Open Access | Times Cited: 2
Irrigation Quantification Through Backscatter Data Assimilation With a Buddy Check Approach
Louise Busschaert, Michel Bechtold, Sara Modanesi, et al.
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 3
Open Access | Times Cited: 1
Toward field-scale groundwater pumping and improved groundwater management using remote sensing and climate data
Thomas Ott, Sayantan Majumdar, Justin Huntington, et al.
Agricultural Water Management (2024) Vol. 302, pp. 109000-109000
Open Access | Times Cited: 1
Spatial and temporal forecasting of groundwater anomalies in complex aquifer undergoing climate and land use change
Ammara Talib, Ankur R. Desai, Jingyi Huang
Journal of Hydrology (2024) Vol. 639, pp. 131525-131525
Open Access
Evaluating Uncertainties in an SM-Based Inversion Algorithm for Irrigation Estimation in a Subtropical Humid Climate
Laura Almendra-Martín, Jasmeet Judge, Alejandro Monsiváis-Huertero, et al.
Water (2024) Vol. 16, Iss. 17, pp. 2445-2445
Open Access
Quantifying and valuing irrigation in energy and water limited agroecosystems
Mehmet Evren Soylu, Rafael L. Bras
Journal of Hydrology X (2023) Vol. 22, pp. 100169-100169
Open Access | Times Cited: 1
On the Use of SMAP Soil Moisture for Forecasting NDVI Over CONUS Cropland Regions
Manh‐Hung Le, John Bolten, Kristen M. Whitney, et al.
Geophysical Research Letters (2024) Vol. 51, Iss. 20
Open Access
An inter-comparison of approaches and frameworks to quantify irrigation from satellite data
Søren Julsgaard Kragh, Jacopo Dari, Sara Modanesi, et al.
(2023)
Open Access
Comment on hess-2023-142
SÃ ̧ren Julsgaard Kragh, Jacopo Dari, Sara Modanesi, et al.
(2023)
Open Access
Comment on hess-2023-142
SÃ ̧ren Julsgaard Kragh, Jacopo Dari, Sara Modanesi, et al.
(2023)
Open Access
Reply on RC1
Søren Julsgaard Kragh
(2023)
Open Access
Reply on RC2
Søren Julsgaard Kragh
(2023)
Open Access
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