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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:

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

Showing 18 citing articles:

Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal Resolution Imagery, Machine Learning, and Spatial Cross-Validation
Patrick Killeen, Iluju Kiringa, Tet Yeap, et al.
Remote Sensing (2024) Vol. 16, Iss. 4, pp. 683-683
Open Access | Times Cited: 25
Integrating Remote Sensing and Soil Features for Enhanced Machine Learning-Based Corn Yield Prediction in the Southern US
Sayantan Sarkar, Javier M. Osorio Leyton, Efrain Noa‐Yarasca, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 543-543
Open Access | Times Cited: 3
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
Estimation of Biochemical Compounds in Tradescantia Leaves Using VIS-NIR-SWIR Hyperspectral and Chlorophyll a Fluorescence Sensors
Renan Falcioni, Roney Berti de Oliveira, Marcelo Luiz Chicati, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1910-1910
Open Access | Times Cited: 5
Grain Crop Yield Prediction Using Machine Learning Based on UAV Remote Sensing: A Systematic Literature Review
Jianghao Yuan, Yangliang Zhang, Zuojun Zheng, et al.
Drones (2024) Vol. 8, Iss. 10, pp. 559-559
Open Access | Times Cited: 4
Smart Agriculture Based on Artificial Intelligence and Drones Through a Systematic Review
Ali Mhaned, Mouatassim Salma, Mounia El Haji, et al.
IGI Global eBooks (2025), pp. 213-266
Closed Access
Applications of Artificial Intelligence in sorghum and millet farming
Innocent Kutyauripo, Munyaradzi Charles Rushambwa, Rajkumar Palaniappan
Circular Agricultural Systems (2025) Vol. 5, Iss. 1
Open Access
VNIR-SWIR spectroscopy and machine learning for measuring dendrometric variables in native species
Elpídio Inácio Fernandes Filho, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101522-101522
Closed Access
Artificial intelligence and additive manufacturing for resilient supply chain in Africa: A systematic literature review
James Adu Peprah, John Oti Amoah, Kofi Kwarteng, et al.
Future Business Journal (2025) Vol. 11, Iss. 1
Open Access
Improving Crop Mapping by Using Bidirectional Reflectance Distribution Function (BRDF) Signatures with Google Earth Engine
Zhijun Zhen, Shengbo Chen, Tiangang Yin, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2761-2761
Open Access | Times Cited: 9
Non−Invasive Assessment, Classification, and Prediction of Biophysical Parameters Using Reflectance Hyperspectroscopy
Renan Falcioni, Gláucio Leboso Alemparte Abrantes dos Santos, Luís Guilherme Teixeira Crusiol, et al.
Plants (2023) Vol. 12, Iss. 13, pp. 2526-2526
Open Access | Times Cited: 9
CLASSIFICATION OF IRRIGATION MANAGEMENT PRACTICES IN MAIZE HYBRIDS USING MULTISPECTRAL SENSORS AND MACHINE LEARNING TECHNIQUES
João Lucas Gouveia de Oliveira, Dthenifer Cordeiro Santana, Izabela Cristina de Oliveira, et al.
Engenharia Agrícola (2025) Vol. 45
Open Access
Establishing a knowledge structure for yield prediction in cereal crops using unmanned aerial vehicles
Ghulam Mustafa, Y H Liu, İmran Khan, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
Fluorescence and Hyperspectral Sensors for Nondestructive Analysis and Prediction of Biophysical Compounds in the Green and Purple Leaves of Tradescantia Plants
Renan Falcioni, Roney Berti de Oliveira, Marcelo Luiz Chicati, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6490-6490
Open 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
Investigation of Explainable Crop Yield Prediction: Leveraging Ensemble Learning and a Novel Blend Model Approach
Sivaraman Jayanthi, K Indraneel, M. Vivekanandan, et al.
Research Square (Research Square) (2024)
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
Disentangling genotype and environment specific latent features for improved trait prediction using a compositional autoencoder
Anirudha Powadi, Talukder Z. Jubery, Michael C. Tross, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access
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