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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:

A new methodological framework for geophysical sensor combinations associated with machine learning algorithms to understand soil attributes
Danilo César de Mello, Gustavo Vieira Veloso, Marcos Guedes de Lana, et al.
Geoscientific model development (2022) Vol. 15, Iss. 3, pp. 1219-1246
Open Access | Times Cited: 17

Showing 17 citing articles:

Sentinel-2 and Sentinel-1 Bare Soil Temporal Mosaics of 6-year Periods for Soil Organic Carbon Content Mapping in Central France
Diego Fernando Urbina Salazar, Emmanuelle Vaudour, Anne C Richer-De-Forges, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2410-2410
Open Access | Times Cited: 24
Arithmetic optimization algorithm with deep learning enabled airborne particle-bound metals size prediction model
Abdulmohsen Almalawi, Asif Irshad Khan, Fawaz Alsolami, et al.
Chemosphere (2022) Vol. 303, pp. 134960-134960
Closed Access | Times Cited: 21
Spatial Interpolation of Gravimetric Soil Moisture Using EM38-mk Induction and Ensemble Machine Learning (Case Study from Dry Steppe Zone in Volgograd Region)
Anatoly Zeyliger, А. В. Чинилин, Olga Ermolaeva
Sensors (2022) Vol. 22, Iss. 16, pp. 6153-6153
Open Access | Times Cited: 18
Global warming may turn ice-free areas of Maritime and Peninsular Antarctica into potential soil organic carbon sinks
Danilo César de Mello, Márcio Rocha Francelino, Cássio Marques Moquedace dos Santos, et al.
Communications Earth & Environment (2025) Vol. 6, Iss. 1
Open Access
Summary of Review Literature on Soil Data Using Satellite Image and Techniques of Artificial Intelligence
Floarea-Maria Brebu, Alexandra Ciopec, Monica Mirea, et al.
Journal of Applied Engineering Sciences (2025) Vol. 15, Iss. 1, pp. 61-68
Closed Access
Explorative analysis of varying spatial resolutions on a soil type classification model and it's transferability in an agricultural lowland area of Lombardy, Italy
Odunayo David Adeniyi, Michael Maerker
Geoderma Regional (2024) Vol. 37, pp. e00785-e00785
Open Access | Times Cited: 3
Radiometric and magnetic susceptibility characterization of soil profiles: Geophysical data and their relationship with Antarctic periglacial processes, pedogenesis, and lithology
Danilo César de Mello, Gustavo Vieira Veloso, Cássio Marques Moquedace dos Santos, et al.
CATENA (2023) Vol. 232, pp. 107427-107427
Closed Access | Times Cited: 7
Pedogenetic processes operating at different intensities inferred by geophysical sensors and machine learning algorithms
Danilo César de Mello, Tiago Osório Ferreira, Gustavo Vieira Veloso, et al.
CATENA (2022) Vol. 216, pp. 106370-106370
Closed Access | Times Cited: 10
Digital mapping of soil weathering using field geophysical sensor data coupled with covariates and machine learning
Danilo César de Mello, Tiago Osório Ferreira, Gustavo Vieira Veloso, et al.
Journal of South American Earth Sciences (2023) Vol. 128, pp. 104449-104449
Closed Access | Times Cited: 4
Chemical weathering detection in the periglacial landscapes of Maritime Antarctica: New approach using geophysical sensors, topographic variables and machine learning algorithms
Danilo César de Mello, Gustavo Vieira Veloso, Cássio Marques Moquedace dos Santos, et al.
Geoderma (2023) Vol. 438, pp. 116615-116615
Open Access | Times Cited: 4
Integrating proximal geophysical sensing and machine learning for digital soil mapping: spatial prediction and model evaluation using a small dataset
Danilo César de Mello, Gustavo Vieira Veloso, Márcia Sarpa, et al.
Soil Advances (2024) Vol. 3, pp. 100024-100024
Open Access | Times Cited: 1
Relative Radiometric Normalization for the PlanetScope Nanosatellite Constellation Based on Sentinel-2 Images
Rafael Luís Silva Dias, Ricardo Santos Silva Amorim, Demétrius David da Silva, et al.
Remote Sensing (2024) Vol. 16, Iss. 21, pp. 4047-4047
Open Access | Times Cited: 1
Sand subfractions by proximal and satellite sensing: Optimizing agricultural expansion in tropical sandy soils
Luis Augusto Di Loreto Di Raimo, Eduardo Guimarães Couto, Raúl Roberto Poppiel, et al.
CATENA (2023) Vol. 234, pp. 107604-107604
Closed Access | Times Cited: 1
Exploration of Feature Engineering Techniques and Unsupervised Machine Learning Clustering Algorithms for Geophysical Data on Levees
Brittany M. Russo, Dimitrios Zekkos
Geo-Congress 2019 (2024), pp. 454-463
Closed Access
Application of machine learning to proximal gamma-ray and magnetic susceptibility surveys in the Maritime Antarctic: assessing the influence of periglacial processes and landforms
Danilo César de Mello, Clara Glória Oliveira Baldi, Cássio Marques Moquedace dos Santos, et al.
(2024)
Open Access
Comparative Analysis of Soil Salinity under Flat and Ridge Cultivation Methods in Citrus Orchards
Burçak Kapur
Polish Journal of Environmental Studies (2024)
Open Access
Proximal sensing approach for soil characterization and discrimination: a case of study in Brazil
Andrés Maurício Rico Gómez, Heidy Soledad Rodríguez Albarracín, Danilo César de Mello, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 15806-15822
Closed Access | Times Cited: 1
Clustering airborne gamma-ray spectrometry data in Nova Friburgo, State of Rio de Janeiro, southeastern Brazil
Blenda Pereira Bastos, Helena Saraiva Koenow Pinheiro, Waldir de Carvalho, et al.
Journal of Applied Geophysics (2022) Vol. 209, pp. 104900-104900
Closed Access | Times Cited: 1
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