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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:

Countrywide mapping and assessment of organic carbon saturation in the topsoil using machine learning-based pedotransfer function with uncertainty propagation
Gábor Szatmári, László Pásztor, Annamária Laborczi, et al.
CATENA (2023) Vol. 227, pp. 107086-107086
Open Access | Times Cited: 14

Showing 14 citing articles:

A landscape-scale view of soil organic matter dynamics
Sebastian Döetterl, Asmeret Asefaw Berhe, Katherine Heckman, et al.
Nature Reviews Earth & Environment (2025)
Closed Access | Times Cited: 5
Evaluating ensemble learning in developing pedotransfer functions to predict soil hydraulic properties
Xiuneng Li, Hong Wang, Shuhong Qin, et al.
Journal of Hydrology (2024) Vol. 640, pp. 131658-131658
Closed Access | Times Cited: 5
Comparison of global and zonal modeling strategies - A case study of soil organic matter and C:N ratio mapping in Altay, Xinjiang, China
Hongwu Liang, Guli Japaer, Changyuan Yu, et al.
Ecological Informatics (2024) Vol. 84, pp. 102882-102882
Open Access | Times Cited: 5
Large-scale mapping of soil particle size distribution using legacy data and machine learning-based pedotransfer functions
Piroska Kassai, Mihály Kocsis, Gábor Szatmári, et al.
Geoderma (2025) Vol. 454, pp. 117178-117178
Open Access
A partitioned conditioned Latin hypercube sampling method considering spatial heterogeneity in digital soil mapping
Biao Huang, Guangjun Yang, Jing Lei, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
On soil districts
Alexandre M.J.‐C. Wadoux, Léa Courteille, Dominique Arrouays, et al.
Geoderma (2024) Vol. 452, pp. 117065-117065
Open Access | Times Cited: 3
Soil carbon sequestration potential of cultivated lands and its controlling factors in China
Shuai Wang, Li Xu, Kabindra Adhikari, et al.
The Science of The Total Environment (2023) Vol. 905, pp. 167292-167292
Closed Access | Times Cited: 7
An explainable integrated machine learning model for mapping soil erosion by wind and water in a catchment with three desiccated lakes
Hamid Gholami, Mehdi Jalali, Marzieh Rezaei, et al.
Aeolian Research (2024) Vol. 67-69, pp. 100924-100924
Closed Access | Times Cited: 2
Space-time modelling of soil organic carbon stock change at multiple scales: Case study from Hungary
Gábor Szatmári, László Pásztor, Katalin Takács, et al.
Geoderma (2024) Vol. 451, pp. 117067-117067
Open Access | Times Cited: 2
Initial soil condition, stand age, and aridity alter the pathways for modifying the soil carbon under afforestation
Yang Zheng, Jian‐Sheng Ye, Jiu-Ying Pei, et al.
The Science of The Total Environment (2024) Vol. 946, pp. 174448-174448
Closed Access | Times Cited: 1
Beyond land use: Understanding variations in topsoil bulk versus recalcitrant organic matter
Gergely Jakab, Ákos Bede‐Fazekas, Viktória Vona, et al.
CATENA (2024) Vol. 244, pp. 108232-108232
Open Access | Times Cited: 1
Filling the gaps in soil data: A multi-model framework for addressing data gaps using pedotransfer functions and machine-learning with uncertainty estimates to estimate bulk density
Adrienne Arbor, Margaret G. Schmidt, Jin Zhang, et al.
CATENA (2024) Vol. 245, pp. 108310-108310
Open Access | Times Cited: 1
Gridded, temporally referenced spatial information on soil organic carbon for Hungary
Gábor Szatmári, Annamária Laborczi, János Mészáros, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access
Machine Learning-Based Pedotransfer Functions to Predict Soil Hydraulic Properties
Xiuneng Li, Hong Wang, Shu Qin, et al.
(2024)
Closed Access
A GLMER-based pedotransfer function expressing the relationship between total organic carbon and bulk density in forest soils
Václav Zouhar, Aleš Kučera, Karel Drápela
Journal of Forest Science (2024)
Open Access
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