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:

Mapping soil carbon, particle-size fractions, and water retention in tropical dry forest in Brazil
Gustavo M. Vasques, Maurício Rizzato Coelho, Ricardo O. Dart, et al.
Pesquisa Agropecuária Brasileira (2016) Vol. 51, Iss. 9, pp. 1371-1385
Open Access | Times Cited: 24

Showing 24 citing articles:

Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images
Caio Troula Fongaro, José Alexandre Melo Demattê, Rodnei Rizzo, et al.
Remote Sensing (2018) Vol. 10, Iss. 10, pp. 1555-1555
Open Access | Times Cited: 87

No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America
Mário Guevara, Guillermo F. Olmedo, Emma Stell, et al.
SOIL (2018) Vol. 4, Iss. 3, pp. 173-193
Open Access | Times Cited: 86

Soil analytical quality control by traditional and spectroscopy techniques: Constructing the future of a hybrid laboratory for low environmental impact
José Alexandre Melo Demattê, André Carnieletto Dotto, L. R. Bedin, et al.
Geoderma (2018) Vol. 337, pp. 111-121
Closed Access | Times Cited: 85

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

Is it possible to map subsurface soil attributes by satellite spectral transfer models?
Wanderson de Sousa Mendes, Luiz G. Medeiros Neto, José Alexandre Melo Demattê, et al.
Geoderma (2019) Vol. 343, pp. 269-279
Closed Access | Times Cited: 54

Digital mapping of soil organic carbon stocks in the forest lands of Dominican Republic
Efraín Duarte, Erick Zagal, Juan Alberto Barrera, et al.
European Journal of Remote Sensing (2022) Vol. 55, Iss. 1, pp. 213-231
Open Access | Times Cited: 28

Predicting the spatial distribution of soil organic carbon stock in Swedish forests using a group of covariates and site-specific data
Ozias Hounkpatin, Johan Stendahl, Mattias Lundblad, et al.
SOIL (2021) Vol. 7, Iss. 2, pp. 377-398
Open Access | Times Cited: 24

Soil Carbon Stock and Particle Size Fractions in the Central Amazon Predicted from Remotely Sensed Relief, Multispectral and Radar Data
Marcos Bacis Ceddia, Andréa da Silva Gomes, Gustavo M. Vasques, et al.
Remote Sensing (2017) Vol. 9, Iss. 2, pp. 124-124
Open Access | Times Cited: 31

Intra- and interspecific variations on plant functional traits along a successional gradient in a Brazilian tropical dry forest
Gabriela Faccion, Alline Mendes Alves, Mário M. Espírito‐Santo, et al.
Flora (2021) Vol. 279, pp. 151815-151815
Closed Access | Times Cited: 21

Free iron oxide content in tropical soils predicted by integrative digital mapping
Wanderson de Sousa Mendes, José Alexandre Melo Demattê, Budiman Minasny, et al.
Soil and Tillage Research (2022) Vol. 219, pp. 105346-105346
Closed Access | Times Cited: 16

Digital soil mapping of key secondary soil properties using pedotransfer functions and Indian legacy soil data
Nagarjuna N. Reddy, Bhabani S. Das
Geoderma (2022) Vol. 429, pp. 116265-116265
Open Access | Times Cited: 15

Use of MSI/Sentinel-2 and airborne LiDAR data for mapping vegetation and studying the relationships with soil attributes in the Brazilian semi-arid region
Hilton Luís Ferraz da Silveira, Lênio Soares Galvão, Ieda Del’Arco Sanches, et al.
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 73, pp. 179-190
Closed Access | Times Cited: 22

Integration of multispectral and hyperspectral data to map magnetic susceptibility and soil attributes at depth: A novel framework
Wanderson de Sousa Mendes, José Alexandre Melo Demattê, Nélida Elizabet Quiñonez Silvero, et al.
Geoderma (2020) Vol. 385, pp. 114885-114885
Closed Access | Times Cited: 20

Development of pedotransfer functions for water retention in tropical mountain soil landscapes: spotlight on parameter tuning in machine learning
Anika Gebauer, Monja Ellinger, Victor M. Brito Gómez, et al.
SOIL (2020) Vol. 6, Iss. 1, pp. 215-229
Open Access | Times Cited: 18

Sample planning for quantifying and mapping magnetic susceptibility, clay content, and base saturation using auxiliary information
Daniel De Bortoli Teixeira, José Marques Júnior, Diego Silva Siqueira, et al.
Geoderma (2017) Vol. 305, pp. 208-218
Open Access | Times Cited: 14

Fine-scale soil mapping with Earth Observation data: a multiple geographic level comparison
José Lucas Safanelli, José Alexandre Melo Demattê, Natasha Valadares dos Santos, et al.
Revista Brasileira de Ciência do Solo (2021) Vol. 45
Open Access | Times Cited: 11

Progress on spatial prediction methods for soil particle-size fractions
Wenjiao Shi, Mo Zhang
Journal of Geographical Sciences (2023) Vol. 33, Iss. 7, pp. 1553-1566
Closed Access | Times Cited: 3

Determining the K coefficient to leaf area index estimations in a tropical dry forest
Sarah Freitas Magalhães, Sofía Calvo-Rodríguez, Mário M. Espírito‐Santo, et al.
International Journal of Biometeorology (2018) Vol. 62, Iss. 7, pp. 1187-1197
Closed Access | Times Cited: 4

A systematic evaluation of multisensor data and multivariate prediction methods for digitally mapping exchangeable cations: A case study in Australian sugarcane field
Maryem Arshad, Dongxue Zhao, Tibet Khongnawang, et al.
Geoderma Regional (2021) Vol. 25, pp. e00400-e00400
Closed Access | Times Cited: 4

Chronosequence and Temporal Changes in Soil Conditions, Vegetation Structure and Leaf Traits in a Tropical Dry Forest in Brazil
Kleiperry Freitas Ferreira, Jhonathan O. Silva, Pablo Cuevas‐Reyes, et al.
Forests (2024) Vol. 15, Iss. 10, pp. 1700-1700
Open Access

Geotechnologies applied in digital soil mapping
Wanderson de Sousa Mendes
(2020)
Open Access | Times Cited: 1

Mapping wood volume in seasonally dry vegetation of Caatinga in Bahia State, Brazil
Thaine Teixeira Silva, Róbson Borges de Lima, Rafael Lucas Figueiredo de Souza, et al.
Scientia Agricola (2023) Vol. 80
Open Access

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