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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:

Fusion of Sentinel-2 and PlanetScope time-series data into daily 3 m surface reflectance and wheat LAI monitoring
Yuval Sadeh, Xuan Zhu, David Dunkerley, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 96, pp. 102260-102260
Open Access | Times Cited: 113

Showing 1-25 of 113 citing articles:

A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery
David P. Roy, Haiyan Huang, Rasmus Houborg, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112586-112586
Open Access | Times Cited: 187
A Technical Review of Planet Smallsat Data: Practical Considerations for Processing and Using PlanetScope Imagery
Amy E. Frazier, Benjamin L. Hemingway
Remote Sensing (2021) Vol. 13, Iss. 19, pp. 3930-3930
Open Access | Times Cited: 147
Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series
Marcel Schwieder, Maximilian Wesemeyer, David Frantz, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112795-112795
Open Access | Times Cited: 114
Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity
Lammert Kooistra, Katja Berger, Benjamin Brede, et al.
Biogeosciences (2024) Vol. 21, Iss. 2, pp. 473-511
Open Access | Times Cited: 22
From Bytes to Farm: Transferability of Industrial Digital Twins in Agricultural Systems
V. S. Manivasagam
Journal of Biosystems Engineering (2025)
Closed Access | Times Cited: 2
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery
Minkyu Moon, Andrew D. Richardson, M. A. Friedl
Remote Sensing of Environment (2021) Vol. 266, pp. 112716-112716
Open Access | Times Cited: 99
Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data
José Estévez, Matías Salinero-Delgado, Katja Berger, et al.
Remote Sensing of Environment (2022) Vol. 273, pp. 112958-112958
Open Access | Times Cited: 67
Predicting the Chlorophyll Content of Maize over Phenotyping as a Proxy for Crop Health in Smallholder Farming Systems
Kiara Brewer, Alistair Clulow, Mbulisi Sibanda, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 518-518
Open Access | Times Cited: 57
PlanetScope contributions compared to Sentinel-2, and Landsat-8 for LULC mapping
Siham Acharki
Remote Sensing Applications Society and Environment (2022) Vol. 27, pp. 100774-100774
Closed Access | Times Cited: 51
Modeling carbon storage in urban vegetation: Progress, challenges, and opportunities
Qingwei Zhuang, Zhenfeng Shao, Jianya Gong, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 114, pp. 103058-103058
Open Access | Times Cited: 46
Scale matters: Spatial resolution impacts tropical leaf phenology characterized by multi-source satellite remote sensing with an ecological-constrained deep learning model
Guangqin Song, Jing Wang, Yingyi Zhao, et al.
Remote Sensing of Environment (2024) Vol. 304, pp. 114027-114027
Closed Access | Times Cited: 13
Comparing and combining data-driven and model-driven approaches to monitor wheat green area index with high spatio-temporal resolution satellites
Mingxia Dong, Shouyang Liu, Jiang Rui-bo, et al.
Remote Sensing of Environment (2024) Vol. 305, pp. 114118-114118
Open Access | Times Cited: 13
SIDEST: A sample-free framework for crop field boundary delineation by integrating super-resolution image reconstruction and dual edge-corrected Segment Anything model
Haoran Sun, Zhijian Wei, Weiguo Yu, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109897-109897
Closed Access | Times Cited: 1
Evolution and application of digital technologies to predict crop type and crop phenology in agriculture
Andries Potgieter, Yan Zhao, Pablo J. Zarco‐Tejada, et al.
in silico Plants (2021) Vol. 3, Iss. 1
Open Access | Times Cited: 45
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
Crop Monitoring Strategy Based on Remote Sensing Data (Sentinel-2 and Planet), Study Case in a Rice Field after Applying Glycinebetaine
A. San Bautista, David Fita, B. Franch, et al.
Agronomy (2022) Vol. 12, Iss. 3, pp. 708-708
Open Access | Times Cited: 32
Technology and Data Fusion Methods to Enhance Site-Specific Crop Monitoring
Uzair Ahmad, Abozar Nasirahmadi, Oliver Hensel, et al.
Agronomy (2022) Vol. 12, Iss. 3, pp. 555-555
Open Access | Times Cited: 31
Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning
Qiaomin Chen, Bangyou Zheng, Karine Chenu, et al.
Plant Phenomics (2022) Vol. 2022
Open Access | Times Cited: 31
Evaluating fine-scale phenology from PlanetScope satellites with ground observations across temperate forests in eastern North America
Yingyi Zhao, Calvin K. F. Lee, Zhihui Wang, et al.
Remote Sensing of Environment (2022) Vol. 283, pp. 113310-113310
Closed Access | Times Cited: 31
CubeSat constellations provide enhanced crop phenology and digital agricultural insights using daily leaf area index retrievals
Kasper Johansen, Matteo G. Ziliani, Rasmus Houborg, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 29
The Accuracy of Land Use and Cover Mapping across Time in Environmental Disaster Zones: The Case of the B1 Tailings Dam Rupture in Brumadinho, Brazil
Carlos Roberto Mangussi Filho, Renato Farias do Valle, Maytê Maria Abreu Pires de Melo Silva, et al.
Sustainability (2023) Vol. 15, Iss. 8, pp. 6949-6949
Open Access | Times Cited: 17
Improvement of pasture biomass modelling using high-resolution satellite imagery and machine learning
Michael Gbenga Ogungbuyi, Juan Pablo Guerschman, Andrew Fischer, et al.
Journal of Environmental Management (2024) Vol. 356, pp. 120564-120564
Open Access | Times Cited: 9
Crop classification in South Korea for multitemporal PlanetScope imagery using SFC-DenseNet-AM
Seonkyeong Seong, Anjin Chang, Junsang Mo, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 126, pp. 103619-103619
Open Access | Times Cited: 8
A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects
Farhad Samadzadegan, Ahmad Toosi, Farzaneh Dadrass Javan
International Journal of Remote Sensing (2024), pp. 1-76
Open Access | Times Cited: 8
Normalizing the Local Incidence Angle in Sentinel-1 Imagery to Improve Leaf Area Index, Vegetation Height, and Crop Coefficient Estimations
Gregoriy Kaplan, Lior Fine, Victor Lukyanov, et al.
Land (2021) Vol. 10, Iss. 7, pp. 680-680
Open Access | Times Cited: 40
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