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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:

Evaluation of digital soil mapping projection in soil organic carbon change modeling
Tao Zhang, Laiming Huang, Ren‐Min Yang
Ecological Informatics (2023) Vol. 79, pp. 102394-102394
Open Access | Times Cited: 10

Showing 10 citing articles:

Terrestrial carbon dynamics and economic valuation of ecosystem service for land use management in the Mediterranean region
Merve ERSOY MİRİCİ, Süha Berberoğlu
Ecological Informatics (2024) Vol. 81, pp. 102570-102570
Open Access | Times Cited: 13
Mapping sub-surface distribution of soil organic carbon stocks in South Africa's arid and semi-arid landscapes: Implications for land management and climate change mitigation
Omosalewa Odebiri, Onisimo Mutanga, John Odindi, et al.
Geoderma Regional (2024) Vol. 37, pp. e00817-e00817
Open 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
Prediction of some soil properties in volcanic soils using random forest modeling: A case study at chinyero special nature reserve (Tenerife, canary islands)
Víctor M. Jiménez, Jesús Santiago Notario del Pino, José Manuel Fernández-Guisuraga, et al.
Ecological Informatics (2025) Vol. 86, pp. 103054-103054
Open Access
Soil Organic Carbon Retrieval Using a Machine Learning Approach from Satellite and Environmental Covariates in the Lower Brazos River Watershed, Texas, USA
Birhan Getachew Tikuye, Ram L. Ray
Applied Computing and Geosciences (2025), pp. 100252-100252
Open Access
A new methodology for establishing an SOC content prediction model that is spatiotemporally transferable at multidecadal and intercontinental scales
Xiangtian Meng, Yilin Bao, Chong Luo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 218, pp. 531-550
Closed Access | Times Cited: 2
A novel model for mapping soil organic matter: Integrating temporal and spatial characteristics
Xinle Zhang, Guowei Zhang, Sheng‐Qi Zhang, et al.
Ecological Informatics (2024), pp. 102923-102923
Open Access | Times Cited: 1
Mapping surface soil organic carbon density of cultivated land using machine learning in Zhengzhou
Hengliang Guo, Jinyang Wang, Dujuan Zhang, et al.
Environmental Geochemistry and Health (2024) Vol. 47, Iss. 1
Open Access | Times Cited: 1
Spatial Prediction of Soil Continuous and Categorical Properties Using Deep Learning Approaches for Tamil Nadu, India
Thamizh Vendan Tarun Kshatriya, R. Kumaraperumal, S. Pazhanivelan, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2707-2707
Open Access
Space-time mapping of soil organic carbon through remote sensing and machine learning
Bruno dos Anjos Bartsch, Nícolas Augusto Rosin, Jorge Tadeu Fim Rosas, et al.
Soil and Tillage Research (2024) Vol. 248, pp. 106428-106428
Closed Access
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