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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:

Spatial prediction of organic carbon in German agricultural topsoil using machine learning algorithms
Ali Sakhaee, Anika Gebauer, Mareike Ließ, et al.
SOIL (2022) Vol. 8, Iss. 2, pp. 587-604
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

A high-resolution map of soil organic carbon in cropland of Southern China
Bifeng Hu, Modian Xie, Yue Zhou, et al.
CATENA (2024) Vol. 237, pp. 107813-107813
Closed Access | Times Cited: 17
Transferability of Covariates to Predict Soil Organic Carbon in Cropland Soils
Tom Broeg, Michael Blaschek, Steffen Seitz, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 876-876
Open Access | Times Cited: 23
Using local ensemble models and Landsat bare soil composites for large-scale soil organic carbon maps in cropland
Tom Broeg, Axel Don, Alexander Gocht, et al.
Geoderma (2024) Vol. 444, pp. 116850-116850
Open Access | Times Cited: 10
Open Remote Sensing Data in Digital Soil Organic Carbon Mapping: A Review
Dorijan Radočaj, Mateo Gašparović, Mladen Jurišić
Agriculture (2024) Vol. 14, Iss. 7, pp. 1005-1005
Open Access | Times Cited: 7
Optimized bare soil compositing for soil organic carbon prediction of topsoil croplands in Bavaria using Landsat
Simone Zepp, Uta Heiden, Martin Bachmann, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 202, pp. 287-302
Closed Access | Times Cited: 16
Towards Explainable AI: Interpreting Soil Organic Carbon Prediction Models Using a Learning‐Based Explanation Method
Nafiseh Kakhani, Ruhollah Taghizadeh–Mehrjardi, Davoud Omarzadeh, et al.
European Journal of Soil Science (2025) Vol. 76, Iss. 2
Open Access
A detailed mapping of soil organic matter content in arable land based on the multitemporal soil line coefficients and neural network filtering of big remote sensing data
Д. И. Рухович, П. В. Королева, Alexey Rukhovich, et al.
Geoderma (2024) Vol. 447, pp. 116941-116941
Open Access | Times Cited: 4
Supporting the spatial allocation of management practices to improve ecosystem services – An opportunity map approach for agricultural landscapes
Irina Heiß, Friederike Stegmann, Michael Allan Wolf, et al.
Ecological Indicators (2025) Vol. 172, pp. 113212-113212
Open Access
Satellite Soil Observation (Satsoil): Extraction of Bare Soil Reflectance for Soil Organic Carbon Mapping on Google Earth Engine
Morteza Khazaei, Preston Sorenson, Ramata Magagi, et al.
(2025)
Closed Access
Uncertainty Quantification of Soil Organic Carbon Estimation from Remote Sensing Data with Conformal Prediction
Nafiseh Kakhani, Setareh Alamdar, Ndiye Michael Kebonye, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 438-438
Open Access | Times Cited: 3
Combining machine learning and environmental covariates for mapping of organic carbon in soils of Russia
А. В. Чинилин, I. Yu. Savin
The Egyptian Journal of Remote Sensing and Space Science (2023) Vol. 26, Iss. 3, pp. 666-675
Open Access | Times Cited: 7
SSL-SoilNet: A Hybrid Transformer-based Framework with Self-Supervised Learning for Large-scale Soil Organic Carbon Prediction
Nafiseh Kakhani, Moien Rangzan, Ali Jamali, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Open Access | Times Cited: 2
Inclusion of fractal dimension in four machine learning algorithms improves the prediction accuracy of mean weight diameter of soil
Abhradip Sarkar, Pragati Pramanik Maity, Mrinmoy Ray, et al.
Ecological Informatics (2022) Vol. 74, pp. 101959-101959
Closed Access | Times Cited: 10
Deep Learning with a Multi-Task Convolutional Neural Network to Generate a National-Scale 3D Soil Data Product: The Particle Size Distribution of the German Agricultural Soil Landscape
Mareike Ließ, Ali Sakhaee
Agriculture (2024) Vol. 14, Iss. 8, pp. 1230-1230
Open Access | Times Cited: 1
Spatial Prediction of Organic Matter Quality in German Agricultural Topsoils
Ali Sakhaee, Thomas Scholten, Ruhollah Taghizadeh‐Mehrjardi, et al.
Agriculture (2024) Vol. 14, Iss. 8, pp. 1298-1298
Open Access | Times Cited: 1
Land use and soil property effects on aggregate stability assessed by three different slaking methods
Christopher Poeplau, Thaddäus Riefling, Marcus Schiedung, et al.
European Journal of Soil Science (2024) Vol. 75, Iss. 4
Open Access | Times Cited: 1
Developing a digital mapping of soil organic carbon on a national scale using Sentinel-2 and hybrid models at varying spatial resolutions
Xiande Ji, Balamuralidhar Purushothaman, Ramjee Prasad, et al.
Ecological Indicators (2024) Vol. 167, pp. 112654-112654
Open Access | Times Cited: 1
The older, the better: a comprehensive survey of soil organic carbon under commercial oil palm plantations
Karolina Golicz, Sim Choon Cheak, Suzanne Jacobs, et al.
Environmental Monitoring and Assessment (2024) Vol. 197, Iss. 1
Open Access | Times Cited: 1
Modeling the Agricultural Soil Landscape of Germany—A Data Science Approach Involving Spatially Allocated Functional Soil Process Units
Mareike Ließ
Agriculture (2022) Vol. 12, Iss. 11, pp. 1784-1784
Open Access | Times Cited: 7
Maximizing the carbon sink function of paddy systems in China with machine learning
Jin Wang, Qingguan Wu, Yong He, et al.
The Science of The Total Environment (2023) Vol. 909, pp. 168542-168542
Closed Access | Times Cited: 3
Applying machine learning to model radon using topsoil geochemistry
Méabh Banríon, M. Cobelli, Quentin Crowley
Applied Geochemistry (2023) Vol. 158, pp. 105790-105790
Open Access | Times Cited: 2
A novel remote sensing-based approach to determine loss of agricultural soils due to soil sealing — a case study in Germany
Annelie Säurich, Markus Möller, Heike Gerighausen
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 6
Open Access
Prediction of Water Infiltration of Three Types of Soil with Machine Learning in the Sahuayo River Basin
Mitzi R. Lupián-Machuca, Gustavo Cruz-Cárdenas, Rebeca Flores Magallón, et al.
Applied and Environmental Soil Science (2024) Vol. 2024, Iss. 1
Open Access
A machine learning approach to map the potential agroecological complexity in an indigenous community of Colombia
Cintya Katherine Ojeda Riaños, Carlos Alberto Torres, Juan Camilo Zapata Calero, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122655-122655
Closed Access
The use of machine learning models in solving problems in the field of organic agriculture
A. V. Linkina, V. D. Elsukov, Aleksei Trishin
Proceedings of the Voronezh State University of Engineering Technologies (2024) Vol. 85, Iss. 4, pp. 133-138
Open Access
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