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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:

A Fast Regression-Based Approach to Map Water Status of Pomegranate Orchards with Sentinel 2 Data
E. Borgogno Mondino, Alessandro Farbo, Vittorino Novello, et al.
Horticulturae (2022) Vol. 8, Iss. 9, pp. 759-759
Open Access | Times Cited: 18

Showing 18 citing articles:

A Google Earth Engine Algorithm to Map Phenological Metrics in Mountain Areas Worldwide with Landsat Collection and Sentinel-2
Tommaso Orusa, Annalisa Viani, Duke Cammareri, et al.
Geomatics (2023) Vol. 3, Iss. 1, pp. 221-238
Open Access | Times Cited: 41
Forecasting corn NDVI through AI-based approaches using sentinel 2 image time series
Alessandro Farbo, Filippo Sarvia, S. De Petris, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 211, pp. 244-261
Open Access | Times Cited: 9
A Possible Land Cover EAGLE Approach to Overcome Remote Sensing Limitations in the Alps Based on Sentinel-1 and Sentinel-2: The Case of Aosta Valley (NW Italy)
Tommaso Orusa, Duke Cammareri, E. Borgogno Mondino
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 178-178
Open Access | Times Cited: 28
Prediction of Stem Water Potential in Olive Orchards Using High-Resolution Planet Satellite Images and Machine Learning Techniques
Simone Pietro Garofalo, Vincenzo Giannico, Leonardo Costanza, et al.
Agronomy (2023) Vol. 14, Iss. 1, pp. 1-1
Open Access | Times Cited: 17
Estimating Sugarcane Aboveground Biomass and Carbon Stock Using the Combined Time Series of Sentinel Data with Machine Learning Algorithms
Savittri Ratanopad Suwanlee, Dusadee Pinasu, Jaturong Som-ard, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 750-750
Open Access | Times Cited: 7
A Machine Learning Approach to Monitor the Physiological and Water Status of an Irrigated Peach Orchard under Semi-Arid Conditions by Using Multispectral Satellite Data
Pasquale Campi, Anna Francesca Modugno, Gabriele De Carolis, et al.
Water (2024) Vol. 16, Iss. 16, pp. 2224-2224
Open Access | Times Cited: 7
Explainable machine learning-based fractional vegetation cover inversion and performance optimization – A case study of an alpine grassland on the Qinghai-Tibet Plateau
Xinhong Li, Jianjun Chen, Zizhen Chen, et al.
Ecological Informatics (2024) Vol. 82, pp. 102768-102768
Open Access | Times Cited: 7
A Scalable Earth Observation Service to Map Land Cover in Geomorphological Complex Areas beyond the Dynamic World: An Application in Aosta Valley (NW Italy)
Tommaso Orusa, Duke Cammareri, E. Borgogno Mondino
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 390-390
Open Access | Times Cited: 27
Land Suitability Analysis of Six Fruit Tree Species Immune/Resistant to Xylella fastidiosa as Alternative Crops in Infected Olive-Growing Areas
Salem Alhajj Ali, Gaetano Alessandro Vivaldi, Simone Pietro Garofalo, et al.
Agronomy (2023) Vol. 13, Iss. 2, pp. 547-547
Open Access | Times Cited: 16
Evaluation of canopy fraction-based vegetation indices, derived from multispectral UAV imagery, to map water status variability in a commercial vineyard
Anke Berry, Melané A. Vivier, Carlos Poblete-Echeverría
Irrigation Science (2024) Vol. 43, Iss. 1, pp. 135-153
Open Access | Times Cited: 5
Chickpea leaf water potential estimation from ground and VENµS satellite
Roy Sadeh, Asaf Avneri, Yaniv Tubul, et al.
Precision Agriculture (2024) Vol. 25, Iss. 3, pp. 1658-1683
Closed Access | Times Cited: 4
Estimation of Intercepted Solar Radiation and Stem Water Potential in a Table Grape Vineyard Covered by Plastic Film Using Sentinel-2 Data: A Comparison of OLS-, MLR-, and ML-Based Methods
Alessandro Farbo, Nicola Gerardo Trombetta, L. de Palma, et al.
Plants (2024) Vol. 13, Iss. 9, pp. 1203-1203
Open Access | Times Cited: 1
Comparison Between the Vegetation Indices Obtained from Sentinel-2 and Planet: A Case Study over a Rice Farm in Northern Italy
Christian Massimiliano Baldin, Vittorio Casella
Communications in computer and information science (2024), pp. 257-284
Closed Access | Times Cited: 1
Assessing mixed-pixels effects in vineyard mapping from Satellite: A proposal for an operational solution
Samuele De Petris, Filippo Sarvia, Francesca Parizia, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109092-109092
Open Access | Times Cited: 1
Vegetative Index Intercalibration Between PlanetScope and Sentinel-2 Through a SkySat Classification in the Context of “Riserva San Massimo” Rice Farm in Northern Italy
Christian Massimiliano Baldin, Vittorio Casella
Remote Sensing (2024) Vol. 16, Iss. 21, pp. 3921-3921
Open Access | Times Cited: 1
Evaluating rice crop phenology and crop yield in hilly region using satellite imagery and Google Earth Engine
Shweta Pokhariyal, N. R. Patel, Ajeet Singh Nain, et al.
Journal of Agrometeorology (2024) Vol. 26, Iss. 4, pp. 395-400
Open Access
Uydu Görüntüleri Kullanarak Makine Öğrenme Yöntemleri ile Arazi Kullanımı ve Arazi Örtüsünün Belirlenmesi
Sevim Yasemin Çiçekli
Fırat Üniversitesi Mühendislik Bilimleri Dergisi (2024)
Open Access
Precision Management of Fruit Trees
Riccardo Lo Bianco, Antonino Pisciotta, Luigi Manfrini
Horticulturae (2022) Vol. 9, Iss. 1, pp. 6-6
Open Access
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