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:

Training Machine Learning Algorithms Using Remote Sensing and Topographic Indices for Corn Yield Prediction
Maílson Freire de Oliveira, Brenda V. Ortiz, Guilherme Morata, et al.
Remote Sensing (2022) Vol. 14, Iss. 23, pp. 6171-6171
Open Access | Times Cited: 14

Showing 14 citing articles:

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

Corn yield prediction in site-specific management zones using proximal soil sensing, remote sensing, and machine learning approach
Bere Benjamin Bantchına, Muhammad Qaswar, Selçuk Arslan, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109329-109329
Closed Access | Times Cited: 6

Automatic Counting and Location Labeling of Rice Seedlings from Unmanned Aerial Vehicle Images
Jui‐Feng Yeh, Kuei-Mei Lin, Li-Ching Yuan, et al.
Electronics (2024) Vol. 13, Iss. 2, pp. 273-273
Open Access | Times Cited: 4

A Systematic Review on Crop Yield Prediction Using Machine Learning
Moon Halder, Ayon Datta, K. Siam, et al.
Lecture notes in networks and systems (2023), pp. 658-667
Closed Access | Times Cited: 6

Predicting the Optimum Corn Harvest Time via the Quantity of Dry Matter Determined with Vegetation Indices Obtained from Multispectral Field Imaging
J. Janoušek, P. Marcoň, P. Dohnal, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3152-3152
Open Access | Times Cited: 5

High-Accuracy Mapping of Soil Parent Material Types in Hilly Areas at the County Scale Using Machine Learning Algorithms
Xueliang Zeng, Guo Xi, Yefeng Jiang, et al.
Remote Sensing (2023) Vol. 16, Iss. 1, pp. 91-91
Open Access | Times Cited: 2

County Scale Corn Yield Estimation Based on Multi-source Data in Liaoning Province
Qu Ge, Yanmin Shuai, Congying Shao, et al.
Agronomy (2023) Vol. 13, Iss. 5, pp. 1428-1428
Open Access | Times Cited: 1

Agriculture crop yield prediction using inertia based cat swarm optimization
Jayanarayana Reddy Dwaram, Rudra Kumar Madapuri
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 2, pp. 1700-1700
Open Access

Detección de enfermedades en cultivos de maíz mediante imágenes con visión artificial: un caso práctico
Tamayo José Ruiz, Osorio Jazmín Trasviña, Mancera Erick Rojas
Revista Científica Ciencia y Tecnología (2024) Vol. 24, Iss. 41
Open Access

Model for Predicting Maize Crop Yield on Small Farms Using Clusterwise Linear Regression and GRASP
Germán-Homero Morán-Figueroa, Darwin-Fabián Muñoz-Pérez, José-Luis Rivera-Ibarra, et al.
Mathematics (2024) Vol. 12, Iss. 21, pp. 3356-3356
Open Access

Exploring the Use of High-Resolution Satellite Images to Estimate Corn Silage Yield Within Field
Srinivasagan N. Subhashree, Manuel Marcaida, Sunoj Shajahan, et al.
Remote Sensing (2024) Vol. 16, Iss. 21, pp. 4081-4081
Open Access

A Comparative Study of Deep Learning Frameworks Applied to Coffee Plant Detection from Close-Range UAS-RGB Imagery in Costa Rica
Sergio Arriola-Valverde, Renato Rimolo‐Donadio, Karolina Villagra-Mendoza, et al.
Remote Sensing (2024) Vol. 16, Iss. 24, pp. 4617-4617
Open Access

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