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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:

Using Sentinel-1 and Sentinel-2 imagery for estimating cotton crop coefficient, height, and Leaf Area Index
Gregoriy Kaplan, Lior Fine, Victor Lukyanov, et al.
Agricultural Water Management (2022) Vol. 276, pp. 108056-108056
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Optimal Integration of Optical and SAR Data for Improving Alfalfa Yield and Quality Traits Prediction: New Insights into Satellite-Based Forage Crop Monitoring
Jiang Chen, Tong Yu, J. H. Cherney, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 734-734
Open Access | Times Cited: 9
Combining PlanetScope and Sentinel-2 images with environmental data for improved wheat yield estimation
Nizom Farmonov, Khilola Amankulova, József Szatmári, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 847-867
Open Access | Times Cited: 19
An improved fusion of Landsat-7/8, Sentinel-2, and Sentinel-1 data for monitoring alfalfa: Implications for crop remote sensing
Jiang Chen, Zhou Zhang
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 124, pp. 103533-103533
Open Access | Times Cited: 17
Coupled WOFOST and SCOPE model for remote sensing-based crop growth simulations
Georgios Ntakos, Egor Prikaziuk, Tamara ten Den, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109238-109238
Open Access | Times Cited: 7
Data-driven estimation of actual evapotranspiration to support irrigation management: Testing two novel methods based on an unoccupied aerial vehicle and an artificial neural network
Offer Rozenstein, Lior Fine, Nitzan Malachy, et al.
Agricultural Water Management (2023) Vol. 283, pp. 108317-108317
Open Access | Times Cited: 16
Estimation of wheat biophysical variables through UAV hyperspectral remote sensing using machine learning and radiative transfer models
Rabi Narayan Sahoo, R. G. Rejith, Shalini Gakhar, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108942-108942
Closed Access | Times Cited: 5
Broad Scope of Site‐Specific Crop Management and Specific Role of Remote Sensing Technologies Within It—A Review
Abid Ali, Muhammad Hassan, Hans‐Peter Kaul
Journal of Agronomy and Crop Science (2024) Vol. 210, Iss. 4
Open Access | Times Cited: 4
Use of supervised and unsupervised approaches to make zonal application maps for variable-rate application of crop growth regulators in commercial cotton fields
Maria Carolina da Silva Andréa, Camila Fogaça de Oliveira, Fabrícia Conceição Menez Mota, et al.
Journal of Cotton Research (2025) Vol. 8, Iss. 1
Open Access
Revolutionizing crop phenotyping: Enhanced UAV LiDAR flight parameter optimization for wide-narrow row cultivation
Puchen Yan, Yangming Feng, Qisheng Han, et al.
Remote Sensing of Environment (2025) Vol. 320, pp. 114638-114638
Closed Access
Assimilation of UAV multispectral imagery into a coupled DSSAT-CROPGRO − SCOPE model for processing tomatoes
Amit Weinman, Nitzan Malachy, Raphael Linker, et al.
Computers and Electronics in Agriculture (2025) Vol. 236, pp. 110460-110460
Open Access
Machine Learning-Based Alfalfa Height Estimation Using Sentinel-2 Multispectral Imagery
Hazhir Bahrami, Karem Chokmani, Saeid Homayouni, et al.
Remote Sensing (2025) Vol. 17, Iss. 10, pp. 1759-1759
Open Access
Comprehensive growth monitoring index using Sentinel-2A data for large-scale cotton production
Huihan Wang, Qiushuang Yao, Ze Zhang, et al.
Field Crops Research (2024) Vol. 317, pp. 109525-109525
Closed Access | Times Cited: 3
SAR2ET: End-to-End SAR-Driven Multisource ET Imagery Estimation Over Croplands
Samet Çetin, Berk Ülker, Esra Erten, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 14790-14805
Open Access | Times Cited: 3
CROP HEIGHT ESTIMATION OF WHEAT USING SENTINEL-1 SATELLITE IMAGERY: PRELIMINARY RESULTS
Ömer Gökberk Narin, Çağlar Bayık, Aliihsan Şekertekin, et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2024) Vol. XLVIII-4/W9-2024, pp. 267-273
Open Access | Times Cited: 2
Using SAR-based products to calculate potato carbon uptake in a tropical Andean region
Gustavo Alfonso Araujo-Carrillo, Julio M. Duarte‐Carvajalino, Diego Fernando Sánchez-Vívas, et al.
European Journal of Remote Sensing (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 2
Present knowledge and future challenges in remote sensing for soil salinization monitoring: a review of bibliometric analysis
Zhuohan Jiang, Jianli Ding, Zhihui Li, et al.
International Journal of Remote Sensing (2024), pp. 1-26
Closed Access | Times Cited: 2
Synergetic Use of Sentinel-1 and Sentinel-2 Data for Wheat-Crop Height Monitoring Using Machine Learning
Lwandile Nduku, Cilence Munghemezulu, Zinhle Mashaba-Munghemezulu, et al.
AgriEngineering (2024) Vol. 6, Iss. 2, pp. 1093-1116
Open Access | Times Cited: 1
LAIr: an R package to estimate LAI from Normalized Difference Vegetation Index
Sofia Bajocco, Carlotta Ferrara, Francesco Savian, et al.
SoftwareX (2024) Vol. 27, pp. 101776-101776
Open Access | Times Cited: 1
Enhancing cotton seedling recognition: a method for high-resolution UAV remote sensing images
Quan Xu, Mengting Jin, Peng Guo
International Journal of Remote Sensing (2024), pp. 1-14
Open Access | Times Cited: 1
Inversion of nitrogen and phosphorus contents in cotton leaves based on the Gaussian mixture model and differences in hyperspectral features of UAV
Lei Peng, H. Xin, Cui Ping Lv, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 327, pp. 125419-125419
Closed Access | Times Cited: 1
A calculation method for cotton phenotypic traits based on unmanned aerial vehicle LiDAR combined with a three-dimensional deep neural network
Xiaoshuai Chen, Sheng Wen, Lei Zhang, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109857-109857
Closed Access | Times Cited: 1
Establishment of a Monitoring Model for the Cotton Leaf Area Index Based on the Canopy Reflectance Spectrum
Xianglong Fan, Xin Lv, Pan Gao, et al.
Land (2022) Vol. 12, Iss. 1, pp. 78-78
Open Access | Times Cited: 5
Evaluating the effectiveness of different variable retention harvesting treatments on forest carbon uptake using remote sensing
Nur Hussain, M. Altaf Arain, Shusen Wang, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 33, pp. 101124-101124
Closed Access | Times Cited: 2
RESEARCH ON SINGLE-PARAMETER LOGISTIC MODEL FOR RELATIVE PLANT HEIGHT AND RELATIVE DRY MATTER OF WINTER WHEAT (TRITICUM AESTIVUM L.) AND SUMMER MAIZE (ZEA MAYS L.)
Y. GUO, Q.J. WANG, J.H. ZHANG, et al.
Applied Ecology and Environmental Research (2023) Vol. 21, Iss. 3, pp. 2539-2556
Open Access | Times Cited: 1
Precision Agriculture Through Stress Monitoring in Crops with Multispectral Remote Sensing Data
Konumuri Kalyan Suhas, G. Kalyani, Mandava Venkata Sri Sai Surya
Lecture notes in networks and systems (2023), pp. 425-434
Closed Access | Times Cited: 1
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