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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:

Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches
Isabel Pôças, Alfonso Calera, Isidro Campos, et al.
Agricultural Water Management (2020) Vol. 233, pp. 106081-106081
Closed Access | Times Cited: 167

Showing 1-25 of 167 citing articles:

UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages
Lang Qiao, Weijie Tang, Dehua Gao, et al.
Computers and Electronics in Agriculture (2022) Vol. 196, pp. 106775-106775
Closed Access | Times Cited: 140
Standard single and basal crop coefficients for vegetable crops, an update of FAO56 crop water requirements approach
L. S. Pereira, Paula Paredes, R. López-Urrea, et al.
Agricultural Water Management (2020) Vol. 243, pp. 106196-106196
Closed Access | Times Cited: 106
A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods
N. Z. Jovanovic, L. S. Pereira, Paula Paredes, et al.
Agricultural Water Management (2020) Vol. 239, pp. 106267-106267
Open Access | Times Cited: 78
Updated single and dual crop coefficients for tree and vine fruit crops
Giovanni Rallo, Teresa A. Paço, Paula Paredes, et al.
Agricultural Water Management (2021) Vol. 250, pp. 106645-106645
Closed Access | Times Cited: 78
Satellite-based NDVI crop coefficients and evapotranspiration with eddy covariance validation for multiple durum wheat fields in the US Southwest
Andrew N. French, Douglas J. Hunsaker, C. A. Sanchez, et al.
Agricultural Water Management (2020) Vol. 239, pp. 106266-106266
Closed Access | Times Cited: 71
Mapping maize crop coefficient Kc using random forest algorithm based on leaf area index and UAV-based multispectral vegetation indices
Guomin Shao, Wenting Han, Huihui Zhang, et al.
Agricultural Water Management (2021) Vol. 252, pp. 106906-106906
Closed Access | Times Cited: 67
Long time series of daily evapotranspiration in China based on the SEBAL model and multisource images and validation
Minghan Cheng, Xiyun Jiao, Binbin Li, et al.
Earth system science data (2021) Vol. 13, Iss. 8, pp. 3995-4017
Open Access | Times Cited: 63
Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge regression feature selection
Anurag Malik, Mehdi Jamei, Mumtaz Ali, et al.
Agricultural Water Management (2022) Vol. 272, pp. 107812-107812
Closed Access | Times Cited: 50
Remote sensing image fusion on 3D scenarios: A review of applications for agriculture and forestry
Juan M. Jurado, Alfonso López, Luís Pádua, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102856-102856
Open Access | Times Cited: 45
Estimating maize LAI by exploring deep features of vegetation index map from UAV multispectral images
Lang Qiao, Ruomei Zhao, Weijie Tang, et al.
Field Crops Research (2022) Vol. 289, pp. 108739-108739
Closed Access | Times Cited: 45
Towards autonomous mapping in agriculture: A review of supportive technologies for ground robotics
Diego Tiozzo Fasiolo, Lorenzo Scalera, Eleonora Maset, et al.
Robotics and Autonomous Systems (2023) Vol. 169, pp. 104514-104514
Open Access | Times Cited: 29
Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation
Antonino Pagano, Federico Amato, Matteo Ippolito, et al.
Ecological Informatics (2023) Vol. 76, pp. 102133-102133
Open Access | Times Cited: 23
Crop water stress detection based on UAV remote sensing systems
Hao Dong, Jiahui Dong, Shikun Sun, et al.
Agricultural Water Management (2024) Vol. 303, pp. 109059-109059
Open Access | Times Cited: 14
Rice leaf chlorophyll content estimation with different crop coverages based on Sentinel-2
Lushi Liu, Yichen Xie, Bingxue Zhu, et al.
Ecological Informatics (2024) Vol. 81, pp. 102622-102622
Open Access | Times Cited: 12
Improved estimation of canopy water status in cotton using vegetation indices along with textural information from UAV-based multispectral images
Shengzhao Pei, Yulong Dai, Zhentao Bai, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109176-109176
Closed Access | Times Cited: 11
Remote sensing and hydrogeophysics give a new impetus to integrated hydrological models: A review
M. Lubczynski, Marc Leblanc, Okke Batelaan
Journal of Hydrology (2024) Vol. 633, pp. 130901-130901
Open Access | Times Cited: 10
Deep learning with multi-scale temporal hybrid structure for robust crop mapping
Pengfei Tang, Jocelyn Chanussot, Shanchuan Guo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 209, pp. 117-132
Closed Access | Times Cited: 9
Modeling Lake Titicaca's water balance: the dominant roles of precipitation and evaporation
Nilo Lima, Denis Ruelland, Antoine Rabatel, et al.
Hydrology and earth system sciences (2025) Vol. 29, Iss. 3, pp. 655-682
Open Access | Times Cited: 1
Remote Sensing and Soil Moisture Sensors for Irrigation Management in Avocado Orchards: A Practical Approach for Water Stress Assessment in Remote Agricultural Areas
Emmanuel A. Torres-Quezada, Fernando Fuentes-Peñailillo, Karen Gutter, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 708-708
Open Access | Times Cited: 1
Introduction to Modern Climate Change. Andrew E. Dessler: Cambridge University Press, 2011, 252 pp, ISBN-10: 0521173159
Mukhtar Ahmed
The Science of The Total Environment (2020) Vol. 734, pp. 139397-139397
Open Access | Times Cited: 68
Remote sensing–based soil water balance for irrigation water accounting at plot and water user association management scale
Jesús Garrido-Rubio, José González-Piqueras, Isidro Campos, et al.
Agricultural Water Management (2020) Vol. 238, pp. 106236-106236
Closed Access | Times Cited: 54
Evapotranspiration and crop coefficients from lysimeter measurements for sprinkler-irrigated canola
R. López-Urrea, Juan Manuel Sánchez, Fernando de la Cruz, et al.
Agricultural Water Management (2020) Vol. 239, pp. 106260-106260
Closed Access | Times Cited: 53
Prediction of crop coefficients from fraction of ground cover and height: Practical application to vegetable, field and fruit crops with focus on parameterization
L. S. Pereira, Paula Paredes, Forrest Melton, et al.
Agricultural Water Management (2021) Vol. 252, pp. 106663-106663
Open Access | Times Cited: 45
Assessing Irrigation Water Use with Remote Sensing-Based Soil Water Balance at an Irrigation Scheme Level in a Semi-Arid Region of Morocco
Mohamed Hakim Kharrou, Vincent Simonneaux, Salah Er‐Raki, et al.
Remote Sensing (2021) Vol. 13, Iss. 6, pp. 1133-1133
Open Access | Times Cited: 41
Extraction of Water Body Information from Remote Sensing Imagery While Considering Greenness and Wetness Based on Tasseled Cap Transformation
Chao Chen, Huixin Chen, Jintao Liang, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3001-3001
Open Access | Times Cited: 32
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