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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:

Digital mapping for soil texture class prediction in northwestern Türkiye by different machine learning algorithms
Fuat Kaya, Levent Başayığıt, Ali Keshavarzi, et al.
Geoderma Regional (2022) Vol. 31, pp. e00584-e00584
Closed Access | Times Cited: 19

Showing 19 citing articles:

Machine learning prediction and interpretation of the impact of microplastics on soil properties
Piumi Amasha Withana, Jie Li, Sachini Supunsala Senadheera, et al.
Environmental Pollution (2023) Vol. 341, pp. 122833-122833
Closed Access | Times Cited: 22
Environmental Assessment of Soils and Crops Based on Heavy Metal Risk Analysis in Southeastern China
Xinyu Mao, Jingjing Sun, Hiba Shaghaleh, et al.
Agronomy (2023) Vol. 13, Iss. 4, pp. 1107-1107
Open Access | Times Cited: 17
Predictive Mapping of Electrical Conductivity and Assessment of Soil Salinity in a Western Türkiye Alluvial Plain
Fuat Kaya, Calogero Schillaci, Ali Keshavarzi, et al.
Land (2022) Vol. 11, Iss. 12, pp. 2148-2148
Open Access | Times Cited: 22
Towards site-specific management of soil organic carbon: Comparing support vector machine and ordinary kriging approaches based on pedo-geomorphometric factors
Sunshine A. De Caires, Ali Keshavarzi, Eduardo Leonel Bottega, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108545-108545
Closed Access | Times Cited: 14
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
Systematic review and bibliometric analysis of innovative approaches to soil fertility assessment and mapping: trends and techniques
Tarchi Fatimazahra, Samira Krimissa, Maryem Ismaili, et al.
Applied Geomatics (2025)
Closed Access
Estimation and mapping of soil texture content based on unmanned aerial vehicle hyperspectral imaging
Qi Song, Xiaohong Gao, Yuting Song, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Classification of thermal environment control indicators according to the thermal sensitivity of office occupants
Kim Sung-Kyung, Jihye Ryu, Won‐Hwa Hong
Heliyon (2024) Vol. 10, Iss. 4, pp. e26038-e26038
Open Access | Times Cited: 3
Digital soil mapping for soil types using machine learning approaches at the landscape scale in the arid regions of Iran
Shaho Manteghi, Kamran Moravej, Seyed Roohollah Mousavi, et al.
Advances in Space Research (2024) Vol. 74, Iss. 1, pp. 1-16
Open Access | Times Cited: 3
Mapping soil organic matter in cultivated land based on multi-year composite images on monthly time scales
Jie Song, Dongsheng Yu, Siwei Wang, et al.
Journal of Integrative Agriculture (2023) Vol. 23, Iss. 4, pp. 1393-1408
Open Access | Times Cited: 7
Regional prediction of soil organic carbon dynamics for intensive farmland in the hot arid climate of India using the machine learning model
Pravash Chandra Moharana, Brijesh Kumar Yadav, Lal Chand Malav, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 18
Closed Access | Times Cited: 2
Digital mapping of soil-texture classes in Batifa, Kurdistan Region of Iraq, using machine-learning models
Bushra S. Yousif, Yaseen T. Mustafa, Mohammed A. Fayyadh
Earth Science Informatics (2023) Vol. 16, Iss. 2, pp. 1687-1700
Closed Access | Times Cited: 5
Implementation of Proximal and Remote Soil Sensing, Data Fusion and Machine Learning to Improve Phosphorus Spatial Prediction for Farms in Ontario, Canada
Abdelkrim Lachgar, D. J. Mulla, Viacheslav I. Adamchuk
Agronomy (2024) Vol. 14, Iss. 4, pp. 693-693
Open Access | Times Cited: 1
Predictive pedometric mapping of soil texture in small catchments
Sedigheh Maleki, Aiding Kornejady
Elsevier eBooks (2024), pp. 315-330
Closed Access
Applying Machine Learning Techniques to Model and Map Soil Surface Texture Using Limited Legacy Data
Luís Flávio Pereira, Cássio Marques Moquedace, Gabriel Phelipe Nascimento Rosolem, et al.
Progress in soil science (2024), pp. 31-45
Closed 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
Prediction of soil texture using remote sensing data. A systematic review
R. N. Mgohele, Boniface H. J. Massawe, Mawazo J. Shitindi, et al.
Frontiers in Remote Sensing (2024) Vol. 5
Open Access
Generation of digital soil mapping for Coimbatore districts using multinomial logistic regression approach
S. Vishnu Shankar, R. Kumaraperumal, Mustafa Radha, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 24
Closed Access
Digital Mapping of Topsoil Texture Classes Using a Hybridized Classical Statistics–Artificial Neural Networks Approach and Relief Data
Sina Mallah, Bahareh Delsouz Khaki, Naser Davatgar, et al.
AgriEngineering (2022) Vol. 5, Iss. 1, pp. 40-64
Open Access | Times Cited: 1
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