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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:

Predicting spatial variability of selected soil properties using digital soil mapping in a rainfed vineyard of central Chile
Lwando Mashalaba, Mauricio Galleguillos, Óscar Seguel, et al.
Geoderma Regional (2020) Vol. 22, pp. e00289-e00289
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Assessing Machine Learning-Based Prediction under Different Agricultural Practices for Digital Mapping of Soil Organic Carbon and Available Phosphorus
Fuat Kaya, Ali Keshavarzi, Rosa Francaviglia, et al.
Agriculture (2022) Vol. 12, Iss. 7, pp. 1062-1062
Open Access | Times Cited: 46
Global mapping of volumetric water retention at 100, 330 and 15 000 cm suction using the WoSIS database
Maria Eliza Turek, Laura Poggio, N.H. Batjes, et al.
International Soil and Water Conservation Research (2022) Vol. 11, Iss. 2, pp. 225-239
Open Access | Times Cited: 33
Estimation of Soil Organic Carbon Content in the Ebinur Lake Wetland, Xinjiang, China, Based on Multisource Remote Sensing Data and Ensemble Learning Algorithms
Boqiang Xie, Jianli Ding, Xiangyu Ge, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2685-2685
Open Access | Times Cited: 31
Digital Mapping of Soil Organic Carbon Using Sentinel Series Data: A Case Study of the Ebinur Lake Watershed in Xinjiang
Xiaohang Li, Jianli Ding, Jie Liu, et al.
Remote Sensing (2021) Vol. 13, Iss. 4, pp. 769-769
Open Access | Times Cited: 37
Estimating Soil Properties and Nutrients by Visible and Infrared Diffuse Reflectance Spectroscopy to Characterize Vineyards
José Ramón Rodríguez Pérez, V. Marcelo, Dimas Pereira-Obaya, et al.
Agronomy (2021) Vol. 11, Iss. 10, pp. 1895-1895
Open Access | Times Cited: 28
Evaluation of Spectroscopy and Methodological Pre-Treatments to Estimate Soil Nutrients in the Vineyard
Marta Rodríguez-Febereiro, Jorge Dafonte Dafonte, María Fandiño, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1326-1326
Open Access | Times Cited: 18
Vineyard Pruning Weight Prediction Using 3D Point Clouds Generated from UAV Imagery and Structure from Motion Photogrammetry
Marta García-Fernández, Enoc Sanz‐Ablanedo, Dimas Pereira-Obaya, et al.
Agronomy (2021) Vol. 11, Iss. 12, pp. 2489-2489
Open Access | Times Cited: 18
Spatial variability of some heavy metals in arid harrats soils: Combining machine learning algorithms and synthetic indexes based-multitemporal Landsat 8/9 to establish background levels
Magboul M. Sulieman, Fuat Kaya, Ali Keshavarzi, et al.
CATENA (2023) Vol. 234, pp. 107579-107579
Open Access | Times Cited: 7
Mapping the soil C:N ratio at the European scale by combining multi-year Sentinel radar and optical data via cloud computing
Xinyue Wang, Yajun Geng, Tao Zhou, et al.
Soil and Tillage Research (2024) Vol. 245, pp. 106311-106311
Closed Access | Times Cited: 2
Elevation-dependent dynamics of soil properties in a hilly watershed: a landform-based approach
Sahil Sharma, Deepak Swami
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 11
Closed Access | Times Cited: 2
Determination of Soil Hydraulic Parameters and Evaluation of Water Dynamics and Nitrate Leaching in the Unsaturated Layered Zone: A Modeling Case Study in Central Croatia
Jasmina Defterdarović, Lana Filipović, Filip Kranjčec, et al.
Sustainability (2021) Vol. 13, Iss. 12, pp. 6688-6688
Open Access | Times Cited: 13
Variations, controls and predictions of soil saturated hydraulic conductivity under different land use types in the alpine region of Tibet, China
Zhao Wen, Minghui Wang, Cuibai Chen, et al.
Geoderma Regional (2023) Vol. 35, pp. e00723-e00723
Closed Access | Times Cited: 5
Prediction of soil hydraulic properties using VIS-NIR spectral data in semi- arid region of Northern Karnataka Plateau
S. Dharumarajan, M. Lalitha, Cécile Gomez, et al.
Geoderma Regional (2021) Vol. 28, pp. e00475-e00475
Closed Access | Times Cited: 11
A super learner ensemble to map potassium fixation in California vineyard soils
Stewart G. Wilson, Gordon L. Rees, Anthony Debons
Geoderma (2024) Vol. 445, pp. 116824-116824
Open Access | Times Cited: 1
Digital Mapping of Key Static Soil Attributes of Tamil Nadu, India using Legacy Soil Information
B. Kalaiselvi, S. Dharumarajan, Amar Suputhra, et al.
Journal of the Geological Society of India (2024) Vol. 100, Iss. 4, pp. 561-571
Closed Access | Times Cited: 1
Machine learning-based soil aggregation assessment under four scenarios in northwestern Iran
Parastoo Nazeri, Abdolhossein Ayoubi, Hossein Khademi, et al.
International Agrophysics (2024) Vol. 38, Iss. 3, pp. 293-310
Open Access | Times Cited: 1
Scoping the Field: Recent Advances in Optical Remote Sensing for Precision Viticulture
Kyle Loggenberg, A.E. Strever, Zahn Münch
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 11, pp. 385-385
Open Access | Times Cited: 1
An operational method for mapping the composition of post-fire litter
Violeta Tolorza, Dagoberto Poblete-Caballero, David Banda, et al.
Remote Sensing Letters (2022) Vol. 13, Iss. 5, pp. 511-521
Closed Access | Times Cited: 6
Modern approaches to precision and digital viticulture
Sigfredo Fuentes, Jorge Gago
Elsevier eBooks (2022), pp. 125-145
Closed Access | Times Cited: 4
Spatial prediction of soil micronutrients using machine learning algorithms integrated with multiple digital covariates
Ali Keshavarzi, Fuat Kaya, Levent Başayığıt, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 4
ESTIMATION OF THE RANDOM INTENSITY OF THE SOIL TILLAGE DRAFT FORCES IN THE SUPPORTS OF THE WORKING BODIES OF A CULTIVATOR
Petru Cârdei, Nicolae Constantin, Vergil Muraru, et al.
INMATEH Agricultural Engineering (2023), pp. 667-680
Open Access | Times Cited: 2
Modeling °Brix and pH in Wine Grapes from Satellite Images in Colchagua Valley, Chile
Sandra N. Fredes, Luis Á. Ruiz, J. A. Recio
Agriculture (2021) Vol. 11, Iss. 8, pp. 697-697
Open Access | Times Cited: 4
Mapping phosphorus sorption and availability in California vineyard soils using an ensemble of machine learning models
Stewart G. Wilson, Kerri L. Steenwerth, Anthony Debons
Soil Science Society of America Journal (2022) Vol. 87, Iss. 1, pp. 119-139
Closed Access | Times Cited: 3
Assessment of macronutrients status using digital soil mapping techniques: a case study in Maru’ak area in Lorestan Province, Iran
Anahid Salmanpour, Mohammad Jamshidi, Shahrokh Fatehi, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 4
Open Access | Times Cited: 1
Identifying Prominent Environmental Covariates Using Variable Selection Methodologies for Digital Soil Mapping of Tamil Nadu, India
Teesha Kshatriya, R. Kumaraperumal, D. Muthumanickam, et al.
International Journal of Environment and Climate Change (2023) Vol. 13, Iss. 9, pp. 2358-2376
Open Access | Times Cited: 1
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