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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:

A Multiscale Cost–Benefit Analysis of Digital Soil Mapping Methods for Sustainable Land Management
Dorijan Radočaj, Mladen Jurišić, Oleg Antonić, et al.
Sustainability (2022) Vol. 14, Iss. 19, pp. 12170-12170
Open Access | Times Cited: 10

Showing 10 citing articles:

A Review on Advancing Agricultural Efficiency through Geographic Information Systems, Remote Sensing, and Automated Systems
Mrutyunjay Padhiary, Payaswini Saikia, Pankaj Roy, et al.
Cureus Journal of Engineering. (2025)
Closed Access | Times Cited: 2
Global Navigation Satellite Systems as State-of-the-Art Solutions in Precision Agriculture: A Review of Studies Indexed in the Web of Science
Dorijan Radočaj, Ivan Plaščak, Mladen Jurišić
Agriculture (2023) Vol. 13, Iss. 7, pp. 1417-1417
Open Access | Times Cited: 27
An improved digital soil mapping approach to predict total N by combining machine learning algorithms and open environmental data
Alessandro Auzzas, Gian Franco Capra, Arun Dilipkumar Jani, et al.
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 5, pp. 6519-6538
Open Access | Times Cited: 6
Geospatial prediction of total soil carbon in European agricultural land based on deep learning
Dorijan Radočaj, Mateo Gašparović, Petra Radočaj, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 169647-169647
Closed Access | Times Cited: 16
An Independent Validation of SoilGrids Accuracy for Soil Texture Components in Croatia
Dorijan Radočaj, Mladen Jurišić, Irena Rapčan, et al.
Land (2023) Vol. 12, Iss. 5, pp. 1034-1034
Open Access | Times Cited: 12
High-resolution mapping of soil texture at various depths in Anhui Province, China
Lijiang Lu, Jianping Wang
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access
Combining Digital Covariates and Machine Learning Models to Predict the Spatial Variation of Soil Cation Exchange Capacity
Fuat Kaya, Gaurav Mishra, Rosa Francaviglia, et al.
Land (2023) Vol. 12, Iss. 4, pp. 819-819
Open Access | Times Cited: 8
The Effect of Bioclimatic Covariates on Ensemble Machine Learning Prediction of Total Soil Carbon in the Pannonian Biogeoregion
Dorijan Radočaj, Mladen Jurišić, Vjekoslav Tadić
Agronomy (2023) Vol. 13, Iss. 10, pp. 2516-2516
Open Access | Times Cited: 4
Evaluation of Ensemble Machine Learning for Geospatial Prediction of Soil Iron in Croatia
Dorijan Radočaj, Nedim Tuno, Admir Mulahusić, et al.
Poljoprivreda (2023) Vol. 29, Iss. 2, pp. 53-61
Open Access | Times Cited: 4
A Comprehensive Evaluation of Machine Learning Algorithms for Digital Soil Organic Carbon Mapping on a National Scale
Dorijan Radočaj, Danijel Jug, Irena Jug, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9990-9990
Open Access
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