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:

WorldCereal: a dynamic open-source system for global-scale, seasonal, and reproducible crop and irrigation mapping
Kristof Van Tricht, Jeroen Degerickx, Sven Gilliams, et al.
Earth system science data (2023) Vol. 15, Iss. 12, pp. 5491-5515
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Review of synthetic aperture radar with deep learning in agricultural applications
Mahya G.Z. Hashemi, Ehsan Jalilvand, Hamed Alemohammad, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 218, pp. 20-49
Closed Access | Times Cited: 5

The hectometric modelling challenge: Gaps in the current state of the art and ways forward towards the implementation of 100‐m scale weather and climate models
Humphrey Lean, Natalie Theeuwes, Michael Baldauf, et al.
Quarterly Journal of the Royal Meteorological Society (2024) Vol. 150, Iss. 765, pp. 4671-4708
Open Access | Times Cited: 5

Principles for satellite monitoring of vegetation carbon uptake
I. Colin Prentice, Manuela Balzarolo, Keith J. Bloomfield, et al.
Nature Reviews Earth & Environment (2024) Vol. 5, Iss. 11, pp. 818-832
Closed Access | Times Cited: 5

Quantifying the Hydrological Impacts of Irrigation on a Mediterranean Agricultural Context Through Explicit Satellite‐Derived Irrigation Estimates
Jacopo Dari, Pere Quintana‐Seguí, Anaïs Barella-Ortiz, et al.
Water Resources Research (2024) Vol. 60, Iss. 5
Open Access | Times Cited: 4

High-resolution mapping of global winter-triticeae crops using a sample-free identification method
Yangyang Fu, Xiuzhi Chen, Chaoqing Song, et al.
Earth system science data (2025) Vol. 17, Iss. 1, pp. 95-115
Open Access

Evaluating Sentinel-2 for Monitoring Drought-Induced Crop Failure in Winter Cereals
Adrià Descals, Kalina Bermúdez Torres, Aleixandre Verger, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 340-340
Open Access

Optimizing Social Media Platforms to Foster Active Public Engagement in Tackling Climate Change and Environmental Conservation
Rina Lestari, Achmad Nurmandi, Muhammad Younus, et al.
Society (2025) Vol. 13, Iss. 1, pp. 18-34
Open Access

A global land-use data cube 1992–2020 based on the Human Appropriation of Net Primary Production
Sarah Matej, Florian Weidinger, Lisa Kaufmann, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access

Advancing oyster habitat mapping: Integrating satellite remote sensing to assess coastal development impacts in northern United Arab Emirates
Pandi Selvam P, Midhun Mohan, Abhilash Dutta Roy, et al.
Marine Pollution Bulletin (2025) Vol. 215, pp. 117861-117861
Closed Access

The development of an operational system for estimating irrigation water use reveals socio-political dynamics in Ukraine
Jacopo Dari, Paolo Filippucci, Luca Brocca
Hydrology and earth system sciences (2024) Vol. 28, Iss. 12, pp. 2651-2659
Open Access | Times Cited: 4

Mangrove Forest Regeneration Age Map and Drivers of Restoration Success in Gulf Cooperation Council Countries from Satellite Imagery
Midhun Mohan, Abhilash Dutta Roy, Jorge F. Montenegro, et al.
(2024)
Closed Access | Times Cited: 2

Probabilistic crop type mapping for ex-ante modelling and spatial disaggregation
Josef Baumert, Thomas Heckelei, Hugo Storm
Ecological Informatics (2024) Vol. 83, pp. 102836-102836
Open Access | Times Cited: 1

Machine Learning and New-Generation Spaceborne Hyperspectral Data Advance Crop Type Mapping
Itiya Aneece, Prasad S. Thenkabail, Richard L. McCormick, et al.
Photogrammetric Engineering & Remote Sensing (2024) Vol. 90, Iss. 11, pp. 687-698
Closed Access | Times Cited: 1

High-Resolution Land Use Land Cover Dataset for Meteorological Modelling—Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset
Geoffrey Bessardon, Thomas Rieutord, Emily Gleeson, et al.
Land (2024) Vol. 13, Iss. 11, pp. 1811-1811
Open Access | Times Cited: 1

In-Season Unsupervised Mapping and Planted Area Estimation of Major Crops in War-Affected Ukraine
Josef Wagner, Sergii Skakun, Shabarinath Nair, et al.
(2024)
Closed Access

Comparative evaluation of the accuracy of mapping irrigated areas using sentinel 1 images in the Bilate and Gumara watersheds, Ethiopia
Alemeshet Kebede Yimer, Alemseged Tamiru Haile, Samuel Dagalo Hatiye, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access

Iterative mapping of probabilities: A data fusion framework for generating accurate land cover maps that match area statistics
Martijn Witjes, Martin Herold, Sytze de Bruin
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 131, pp. 103932-103932
Open Access

Mapping global grassland dynamics 2000—2022 at 30m spatial resolution using spatiotemporal Machine Learning
Leandro Parente, Lindsey Sloat, Vinícius dos Santos Dourado, et al.
Research Square (Research Square) (2024)
Open Access

Mapping global grassland dynamics 2000—2022 at 30m spatial resolution using spatiotemporal Machine Learning
Leandro Parente, Lindsey Sloat, Vinícius dos Santos Dourado, et al.
Research Square (Research Square) (2024)
Closed Access

A new global hybrid map of annual herbaceous cropland at a 500 m resolution for the year 2019
Steffen Fritz, Myroslava Lesiv, Linda See, et al.
Environmental Research Letters (2024) Vol. 19, Iss. 8, pp. 084025-084025
Open Access

A Global Forest Cover Map for Year 2020: Purpose, Methodology and First Assessment
René R. Colditz, Clément Bourgoin, Iban Ameztoy, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 4114-4117
Closed Access

Annual 30-m maps of global grassland class and extent (2000–2022) based on spatiotemporal Machine Learning
Leandro Parente, Lindsey Sloat, Vinícius Vieira Mesquita, et al.
Research Square (Research Square) (2024)
Open Access

Annual 30-m maps of global grassland class and extent (2000–2022) based on spatiotemporal Machine Learning
Leandro Parente, Lindsey Sloat, Vinícius Vieira Mesquita, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access

Improved generality of wheat green LAI models through mitigation of the effect of leaf chlorophyll content variation with red edge vegetation indices
Wei Li, Dong Li, Timothy A. Warner, et al.
Remote Sensing of Environment (2024) Vol. 318, pp. 114589-114589
Closed Access

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