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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:

Soybean Cultivars Identification Using Remotely Sensed Image and Machine Learning Models
Ricardo Gava, Dthenifer Cordeiro Santana, Mayara Fávero Cotrim, et al.
Sustainability (2022) Vol. 14, Iss. 12, pp. 7125-7125
Open Access | Times Cited: 17

Showing 17 citing articles:

A brief history of remote sensing of soybean
Joby M. Prince Czarnecki, Sathishkumar Samiappan, Raju Bheemanahalli, et al.
Agronomy Journal (2025) Vol. 117, Iss. 1
Open Access | Times Cited: 1
A New Approach to Identifying Sorghum Hybrids Using UAV Imagery Using Multispectral Signature and Machine Learning
Dthenifer Cordeiro Santana, Gustavo de Faria Theodoro, Ricardo Gava, et al.
Algorithms (2024) Vol. 17, Iss. 1, pp. 23-23
Open Access | Times Cited: 6
Machine Learning in the Classification of Soybean Genotypes for Primary Macronutrients’ Content Using UAV–Multispectral Sensor
Dthenifer Cordeiro Santana, Marcelo Carvalho Minhoto Teixeira Filho, Marcelo Rinaldi da Silva, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1457-1457
Open Access | Times Cited: 13
Maize Yield Prediction with Machine Learning, Spectral Variables and Irrigation Management
Fábio Henrique Rojo Baio, Dthenifer Cordeiro Santana, Larissa Pereira Ribeiro Teodoro, et al.
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 79-79
Open Access | Times Cited: 18
State-of-the-Art Status of Google Earth Engine (GEE) Application in Land and Water Resource Management: A Scientometric Analysis
Nishtha Sharnagat, A.K. Nema, P. K. Mishra, et al.
Journal of Geovisualization and Spatial Analysis (2025) Vol. 9, Iss. 1
Closed Access
Eucalyptus Species Discrimination Using Hyperspectral Sensor Data and Machine Learning
Larissa Pereira Ribeiro Teodoro, Rosilene Estevão, Dthenifer Cordeiro Santana, et al.
Forests (2023) Vol. 15, Iss. 1, pp. 39-39
Open Access | Times Cited: 9
Novel artificial intelligence assisted Landsat-8 imagery analysis for mango orchard detection and area mapping
Muhammad Usama Tanveer, Kashif Munir, Ali Raza, et al.
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0304450-e0304450
Open Access | Times Cited: 3
Classification of soybean groups for grain yield and industrial traits using Vnir-Swir spectroscopy
Dthenifer Cordeiro Santana, Ana Carina Candido Seron, Larissa Pereira Ribeiro Teodoro, et al.
Infrared Physics & Technology (2024) Vol. 139, pp. 105326-105326
Closed Access | Times Cited: 2
Classification of soybean genotypes during the seedling stage in controlled drought and salt stress environments using the decision tree algorithm
Bruno Rodrigues de Oliveira, Alan Mário Zuffo, Fábio Steiner, et al.
Journal of Agronomy and Crop Science (2023) Vol. 209, Iss. 5, pp. 724-733
Closed Access | Times Cited: 6
Machine Learning in the Hyperspectral Classification of Glycaspis brimblecombei (Hemiptera Psyllidae) Attack Severity in Eucalyptus
Gabriella Silva de Gregori, Elisângela de Souza Loureiro, Luís Gustavo Amorim Pessoa, et al.
Remote Sensing (2023) Vol. 15, Iss. 24, pp. 5657-5657
Open Access | Times Cited: 6
Coffee-Yield Estimation Using High-Resolution Time-Series Satellite Images and Machine Learning
Maurício Martello, José Paulo Molin, Marcelo Chan Fu Wei, et al.
AgriEngineering (2022) Vol. 4, Iss. 4, pp. 888-902
Open Access | Times Cited: 9
Detection of Irrigated and Non-Irrigated Soybeans Using Hyperspectral Data in Machine-Learning Models
Izabela Cristina de Oliveira, Ricardo Gava, Dthenifer Cordeiro Santana, et al.
Algorithms (2024) Vol. 17, Iss. 12, pp. 542-542
Open Access | Times Cited: 1
Identification of soybean planting areas using Sentinel-1/2 remote sensing data: A combined approach of reduced redundancy feature optimization and ensemble learning
Tian Xiao, Bao She, Jinling Zhao, et al.
European Journal of Agronomy (2024) Vol. 164, pp. 127480-127480
Closed Access | Times Cited: 1
MACHINE LEARNING MODELS FOR PREDICTING MECHANICAL DAMAGE, VIGOR AND VIABILITY OF SOYBEAN SEEDS DURING STORAGE
Laila R. Cirqueira, Paulo Carteri Coradi, Larissa Pereira Ribeiro Teodoro, et al.
Engenharia Agrícola (2023) Vol. 43, Iss. 4
Open Access | Times Cited: 1
Classification of Soybean Genotypes as to Calcium, Magnesium, and Sulfur Content Using Machine Learning Models and UAV–Multispectral Sensor
Dthenifer Cordeiro Santana, Izabela Cristina de Oliveira, Sâmela Beutinger Cavalheiro, et al.
AgriEngineering (2024) Vol. 6, Iss. 2, pp. 1581-1593
Open Access
Multispectral Information in the Classification of Soybean Genotypes Using Algorithms Regarding Micronutrient Nutritional Contents
Sâmela Beutinger Cavalheiro, Dthenifer Cordeiro Santana, Marcelo Carvalho Minhoto Teixeira Filho, et al.
AgriEngineering (2024) Vol. 6, Iss. 4, pp. 4493-4505
Open Access
Differentiation of Soybean Genotypes Concerning Seed Physiological Quality Using Hyperspectral Bands
Izabela Cristina de Oliveira, Dthenifer Cordeiro Santana, Victoria Toledo Romancini, et al.
AgriEngineering (2024) Vol. 6, Iss. 4, pp. 4752-4765
Open Access
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