Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Field-level crop yield estimation with PRISMA and Sentinel-2
Michael Marshall, Mariana Belgiu, Mirco Boschetti, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 187, pp. 191-210
Open Access | Times Cited: 88

Showing 1-25 of 88 citing articles:

Transfer learning in environmental remote sensing
Yuchi Ma, Shuo Chen, Stefano Ermon, et al.
Remote Sensing of Environment (2023) Vol. 301, pp. 113924-113924
Closed Access | Times Cited: 119
Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms
Nizom Farmonov, Khilola Amankulova, József Szatmári, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 1576-1588
Open Access | Times Cited: 93
Wheat yield estimation using remote sensing data based on machine learning approaches
Enhui Cheng, Bing Zhang, Dailiang Peng, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 50
Globally quantitative analysis of the impact of atmosphere and spectral response function on 2-band enhanced vegetation index (EVI2) over Sentinel-2 and Landsat-8
Zhijun Zhen, Shengbo Chen, Tiangang Yin, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 205, pp. 206-226
Closed Access | Times Cited: 39
Out-of-year corn yield prediction at field-scale using Sentinel-2 satellite imagery and machine learning methods
Johann Desloires, Dino Ienco, Antoine Botrel
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107807-107807
Open Access | Times Cited: 36
Assessment of PRISMA water reflectance using autonomous hyperspectral radiometry
Federica Braga, Alice Fabbretto, Quinten Vanhellemont, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 192, pp. 99-114
Open Access | Times Cited: 30
Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data
Ana B. Pascual-Venteo, Enrique Portalés, Katja Berger, et al.
Remote Sensing (2022) Vol. 14, Iss. 10, pp. 2448-2448
Open Access | Times Cited: 29
Improved prediction of rice yield at field and county levels by synergistic use of SAR, optical and meteorological data
Weiguo Yu, Gaoxiang Yang, Dong Li, et al.
Agricultural and Forest Meteorology (2023) Vol. 342, pp. 109729-109729
Closed Access | Times Cited: 21
PRISMA and Sentinel-2 spectral response to the nutrient composition of grains
Mariana Belgiu, Michael Marshall, Mirco Boschetti, et al.
Remote Sensing of Environment (2023) Vol. 292, pp. 113567-113567
Open Access | Times Cited: 18
Understanding the spatio-temporal behavior of crop yield, yield components and weed pressure using time series Sentinel-2-data in an organic farming system
Stefano Marino
European Journal of Agronomy (2023) Vol. 145, pp. 126785-126785
Open Access | Times Cited: 16
Utilization of synthetic minority oversampling technique for improving potato yield prediction using remote sensing data and machine learning algorithms with small sample size of yield data
Hamid Ebrahimy, Yi Wang, Zhou Zhang
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 201, pp. 12-25
Open Access | Times Cited: 16
Artificial Intelligence Techniques in Crop Yield Estimation Based on Sentinel-2 Data: A Comprehensive Survey
Muhammet Fatih Aslan, Kadir Sabancı, Busra Aslan
Sustainability (2024) Vol. 16, Iss. 18, pp. 8277-8277
Open Access | Times Cited: 7
Spatiotemporal Landsat-Sentinel-2 satellite imagery-based Hybrid Deep Neural network for paddy crop prediction using Google Earth engine
Preeti Saini, Bharti Nagpal
Advances in Space Research (2024) Vol. 73, Iss. 10, pp. 4988-5004
Closed Access | Times Cited: 6
Tea yield estimation using UAV images and deep learning
Shumao Wang, Cui-Ping Yu, Ma JunHui, et al.
Industrial Crops and Products (2024) Vol. 212, pp. 118358-118358
Closed Access | Times Cited: 6
Analysis and forecasting of Australian rice yield using phenology-based aggregation of satellite and weather data
James Brinkhoff, Allister Clarke, Brian W. Dunn, et al.
Agricultural and Forest Meteorology (2024) Vol. 353, pp. 110055-110055
Open Access | Times Cited: 6
Ensemble learning-based crop yield estimation: a scalable approach for supporting agricultural statistics
Patric Brandt, Florian Beyer, Peter Borrmann, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 6
Predictive Modeling of Above-Ground Biomass in Brachiaria Pastures from Satellite and UAV Imagery Using Machine Learning Approaches
César Iván Álvarez Mendoza, Diego Guzman, Jorge Casas, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5870-5870
Open Access | Times Cited: 22
Improving yield prediction based on spatio-temporal deep learning approaches for winter wheat: A case study in Jiangsu Province, China
Peipei Chen, Yue Li, Xiaojun Liu, et al.
Computers and Electronics in Agriculture (2023) Vol. 213, pp. 108201-108201
Closed Access | Times Cited: 15
Can Yield Prediction Be Fully Digitilized? A Systematic Review
Nicoleta Darra, Evangelos Anastasiou, Olga Kriezi, et al.
Agronomy (2023) Vol. 13, Iss. 9, pp. 2441-2441
Open Access | Times Cited: 13
ChinaSoyArea10m: a dataset of soybean-planting areas with a spatial resolution of 10 m across China from 2017 to 2021
Qinghang Mei, Zhao Zhang, Jichong Han, et al.
Earth system science data (2024) Vol. 16, Iss. 7, pp. 3213-3231
Open Access | Times Cited: 5
Ada4DIR: An adaptive model-driven all-in-one image restoration network for remote sensing images
Ziyang Lihe, Qiangqiang Yuan, Jiang He, et al.
Information Fusion (2025) Vol. 118, pp. 102930-102930
Closed Access
A Python Framework for Crop Yield Estimation Using Sentinel-2 Satellite Data
Κωνσταντίνος Ντούρος, Κωνσταντίνος Παπαθεοδώρου, Georgios Gkologkinas, et al.
Earth (2025) Vol. 6, Iss. 1, pp. 15-15
Open Access
Evaluating the performance of random forest, support vector machine, gradient tree boost, and CART for improved crop-type monitoring using greenest pixel composite in Google Earth Engine
Chirasmayee Savitha, Reshma Talari
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 4
Closed Access
SAM-CTMapper: Utilizing segment anything model and scale-aware mixed CNN-Transformer facilitates coastal wetland hyperspectral image classification
Jiaqi Zou, Wei He, Haifeng Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104469-104469
Closed Access
Correlation Between Satellite Multispectral Imagery and Combine Harvester CANbus Data for Corn Yield Assessment
Gica Stefanescu Miralles, Alessandro Biglia, Michele Mattetti, et al.
Lecture notes in civil engineering (2025), pp. 607-614
Closed Access
Page 1 - Next Page

Scroll to top