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:

Prediction of crop coefficients from fraction of ground cover and height. Background and validation using ground and remote sensing data
L. S. Pereira, Paula Paredes, Forrest Melton, et al.
Agricultural Water Management (2020) Vol. 241, pp. 106197-106197
Open Access | Times Cited: 114

Showing 26-50 of 114 citing articles:

ACTUAL CROP COEFFICIENTS AND YIELD RESPONSE FACTORS OF IRRIGATED TOMATO IN AFAKA, NORTHWEST NIGERIA
Donatus Obiajulu Onwuegbunam, M. A. Oyebode, H. E. Igbadun, et al.
Journal of Applied Life Sciences and Environment (2025) Vol. 58, Iss. 1(201)/2025, pp. 13-31
Open Access

Incorporating soil information with machine learning for crop recommendation to improve agricultural output
H. M. Rehan Afzal, Madiha Amjad, Ali Raza, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Estimation of Grapevine Crop Coefficient Using a Multispectral Camera on an Unmanned Aerial Vehicle
Deepak Gautam, Bertram Ostendorf, Vinay Pagay
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2639-2639
Open Access | Times Cited: 27

Crop coefficients (Kc) developed from canopy shaded area in California vineyards
Larry E. Williams, Alexander D. Levin, Matthew W. Fidelibus
Agricultural Water Management (2022) Vol. 271, pp. 107771-107771
Closed Access | Times Cited: 18

Estimating crop coefficients and actual evapotranspiration in citrus orchards with sporadic cover weeds based on ground and remote sensing data
Matteo Ippolito, Dario De, Giuseppe Ciraolo, et al.
Irrigation Science (2022) Vol. 41, Iss. 1, pp. 5-22
Open Access | Times Cited: 17

Deriving crop coefficients for evergreen and deciduous fruit orchards in South Africa using the fraction of vegetation cover and tree height data
Munashe Mashabatu, Z. Ntshidi, Sebinasi Dzikiti, et al.
Agricultural Water Management (2023) Vol. 286, pp. 108389-108389
Open Access | Times Cited: 10

Estimation of sugarcane evapotranspiration from remote sensing and limited meteorological variables using machine learning models
Mohammad Alavi, Mohammad Albaji, Mona Golabi, et al.
Journal of Hydrology (2023) Vol. 629, pp. 130605-130605
Closed Access | Times Cited: 10

GLUE analysis of meteorological-based crop coefficient predictions to derive the explicit equation
Ahmed Elbeltagi, Akram Seifi, Mohammad Ehteram, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 20, pp. 14799-14824
Closed Access | Times Cited: 9

Estimating irrigation water use from remotely sensed evapotranspiration data: Accuracy and uncertainties across spatial scales
Samuel C. Zipper, Jude H. Kastens, Timothy Foster, et al.
EarthArXiv (California Digital Library) (2024)
Open Access | Times Cited: 3

Evapotranspiration and crop coefficients of sprinkler-irrigated aerobic rice in southern Brazil using the SIMDualKc water balance model
Mirta Teresinha Petry, Felipe Tonetto, Juliano Dalcin Martins, et al.
Irrigation Science (2024)
Closed Access | Times Cited: 3

A comparative analysis of OpenET for evaluating evapotranspiration in California almond orchards
Kyle Knipper, Martha C. Anderson, Nicolás Bambach, et al.
Agricultural and Forest Meteorology (2024) Vol. 355, pp. 110146-110146
Open Access | Times Cited: 3

Evaluation of crop coefficient and evapotranspiration data for sugar beets from landsat surface reflectances using micrometeorological measurements and weighing lysimetry
Tianxin Wang, Forrest Melton, Isabel Pôças, et al.
Agricultural Water Management (2020) Vol. 244, pp. 106533-106533
Open Access | Times Cited: 24

Transpiration and Water Use of an Irrigated Traditional Olive Grove with Sap-Flow Observations and the FAO56 Dual Crop Coefficient Approach
Àngela Puig-Sirera, Giovanni Rallo, Paula Paredes, et al.
Water (2021) Vol. 13, Iss. 18, pp. 2466-2466
Open Access | Times Cited: 21

Estimation of crop evapotranspiration from MODIS data by combining random forest and trapezoidal models
Pengyu Hao, Liping Di, Liying Guo
Agricultural Water Management (2021) Vol. 259, pp. 107249-107249
Open Access | Times Cited: 21

Evaluating maize evapotranspiration using high-resolution UAV-based imagery and FAO-56 dual crop coefficient approach
Yu Zhang, Wenting Han, Huihui Zhang, et al.
Agricultural Water Management (2022) Vol. 275, pp. 108004-108004
Open Access | Times Cited: 14

Exploring innovation adoption behavior for sustainable development of Mediterranean tree crops
Giuseppe Timpanaro, Biagio Pecorino, Gaetano Chinnici, et al.
Frontiers in Sustainable Food Systems (2023) Vol. 7
Open Access | Times Cited: 8

Assessment of the Midseason Crop Coefficient for the Evaluation of the Water Demand of Young, Grafted Hazelnut Trees in High-Density Orchards
Alessandra Vinci, Chiara Traini, Silvia Portarena, et al.
Water (2023) Vol. 15, Iss. 9, pp. 1683-1683
Open Access | Times Cited: 8

Field-scale assessment of soil water dynamics using distributed modeling and electromagnetic conductivity imaging
Tiago B. Ramos, Ana R. Oliveira, Hanaa Darouich, et al.
Agricultural Water Management (2023) Vol. 288, pp. 108472-108472
Open Access | Times Cited: 7

Leveraging Google Earth Engine and Machine Learning to Estimate Evapotranspiration in a Commercial Forest Plantation
Shaeden Gokool, Richard Kunz, Alistair Clulow, et al.
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2726-2726
Open Access | Times Cited: 2

Estimating irrigation water use from remotely sensed evapotranspiration data: Accuracy and uncertainties at field, water right, and regional scales
Samuel C. Zipper, Jude H. Kastens, Timothy Foster, et al.
Agricultural Water Management (2024) Vol. 303, pp. 109036-109036
Open Access | Times Cited: 2

Scroll to top