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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:

Global 5 km resolution estimates of secondary evaporation including irrigation through satellite data assimilation
Albert I. J. M. van Dijk, Jaap Schellekens, Marta Yebra, et al.
Hydrology and earth system sciences (2018) Vol. 22, Iss. 9, pp. 4959-4980
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses
L. Karthikeyan, Ila Chawla, Ashok K. Mishra
Journal of Hydrology (2020) Vol. 586, pp. 124905-124905
Closed Access | Times Cited: 401
Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities
Harry West, Nevil Quinn, Michael Horswell
Remote Sensing of Environment (2019) Vol. 232, pp. 111291-111291
Closed Access | Times Cited: 395
How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products
Luca Brocca, Angelica Tarpanelli, Paolo Filippucci, et al.
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 73, pp. 752-766
Open Access | Times Cited: 240
Estimating reservoir evaporation losses for the United States: Fusing remote sensing and modeling approaches
Gang Zhao, Huilin Gao
Remote Sensing of Environment (2019) Vol. 226, pp. 109-124
Open Access | Times Cited: 176
A Review of Irrigation Information Retrievals from Space and Their Utility for Users
Christian Massari, Sara Modanesi, Jacopo Dari, et al.
Remote Sensing (2021) Vol. 13, Iss. 20, pp. 4112-4112
Open Access | Times Cited: 167
Forests as ‘sponges’ and ‘pumps’: Assessing the impact of deforestation on dry-season flows across the tropics
Jorge L. Peña‐Arancibia, L. A. Bruijnzeel, Mark Mulligan, et al.
Journal of Hydrology (2019) Vol. 574, pp. 946-963
Open Access | Times Cited: 91
Closing the Water Cycle from Observations across Scales: Where Do We Stand?
Wouter Dorigo, Stephan Dietrich, Filipe Aires, et al.
Bulletin of the American Meteorological Society (2021) Vol. 102, Iss. 10, pp. E1897-E1935
Open Access | Times Cited: 75
How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture?
Luca Zappa, Stefan Schlaffer, Luca Brocca, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 113, pp. 102979-102979
Open Access | Times Cited: 49
Remotely sensed reservoir water storage dynamics (1984–2015) and the influence of climate variability and management at a global scale
Jiawei Hou, Albert I. J. M. van Dijk, Hylke E. Beck, et al.
Hydrology and earth system sciences (2022) Vol. 26, Iss. 14, pp. 3785-3803
Open Access | Times Cited: 47
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
Soil Moisture Data Assimilation to Estimate Irrigation Water Use
Ronnie Abolafia‐Rosenzweig, Ben Livneh, Eric E. Small, et al.
Journal of Advances in Modeling Earth Systems (2019) Vol. 11, Iss. 11, pp. 3670-3690
Open Access | Times Cited: 69
A novel method to quantify consumed fractions and non-consumptive use of irrigation water: Application to the Indus Basin Irrigation System of Pakistan
Gijs Simons, W.G.M. Bastiaanssen, Muhammad Jehanzeb Masud Cheema, et al.
Agricultural Water Management (2020) Vol. 236, pp. 106174-106174
Open Access | Times Cited: 69
Estimating Net Irrigation Across the North China Plain Through Dual Modeling of Evapotranspiration
Julian Koch, Wenmin Zhang, Grith Martinsen, et al.
Water Resources Research (2020) Vol. 56, Iss. 12
Closed Access | Times Cited: 61
Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel-1 Surface Soil Moisture
Luca Zappa, Stefan Schlaffer, Bernhard Bauer-Marschallinger, et al.
Remote Sensing (2021) Vol. 13, Iss. 9, pp. 1727-1727
Open Access | Times Cited: 47
Patterns and drivers of evapotranspiration in South American wetlands
Ayan Santos Fleischmann, Leonardo Laipelt, Fabrice Papa, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 19
Multi-mission satellite remote sensing data for improving land hydrological models via data assimilation
Mehdi Khaki, Harrie‐Jan Hendricks Franssen, Shin‐Chan Han
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 50
Global satellite-based river gauging and the influence of river morphology on its application
Jiawei Hou, Albert I. J. M. van Dijk, Hylke E. Beck
Remote Sensing of Environment (2020) Vol. 239, pp. 111629-111629
Closed Access | Times Cited: 47
Quantifying future water-saving potential under climate change and groundwater recharge scenarios in Lower Chenab Canal, Indus River Basin
Muhammad Shafeeque, Mohsin Hafeez, Abid Sarwar, et al.
Theoretical and Applied Climatology (2023) Vol. 155, Iss. 1, pp. 187-204
Open Access | Times Cited: 16
Revisiting large-scale interception patterns constrained by a synthesis of global experimental data
Feng Zhong, S. S. Jiang, Albert I. J. M. van Dijk, et al.
Hydrology and earth system sciences (2022) Vol. 26, Iss. 21, pp. 5647-5667
Open Access | Times Cited: 22
RODEO: An algorithm and Google Earth Engine application for river discharge retrieval from Landsat
Ryan Riggs, George H. Allen, Cédric H. David, et al.
Environmental Modelling & Software (2021) Vol. 148, pp. 105254-105254
Open Access | Times Cited: 25
Global groundwater droughts are more severe than they appear in hydrological models: An investigation through a Bayesian merging of GRACE and GRACE-FO data with a water balance model
Ehsan Forootan, Nooshin Mehrnegar, Maike Schumacher, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 169476-169476
Open Access | Times Cited: 10
Identifying irrigated areas using land surface temperature and hydrological modelling: application to the Rhine basin
Devi Purnamasari, Adriaan J. Teuling, Albrecht Weerts
Hydrology and earth system sciences (2025) Vol. 29, Iss. 6, pp. 1483-1503
Open Access
Using modelled discharge to develop satellite-based river gauging: a case study for the Amazon Basin
Jiawei Hou, Albert I. J. M. van Dijk, Luigi J. Renzullo, et al.
Hydrology and earth system sciences (2018) Vol. 22, Iss. 12, pp. 6435-6448
Open Access | Times Cited: 31
An assessment of water consumption patterns and land productivity and water productivity using WA+ framework and satellite data inputs
Pushpendra Kumar Singh, Sharad K. Jain, P. K. Mishra, et al.
Physics and Chemistry of the Earth Parts A/B/C (2021) Vol. 126, pp. 103053-103053
Open Access | Times Cited: 21
Changes in the surface and atmospheric water budget due to projected Amazon deforestation: Lessons from a fully coupled model simulation
Sly Wongchuig, Jhan Carlo Espinoza, Thomas Condom, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130082-130082
Open Access | Times Cited: 8
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