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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:

Use and relevance of European Union crop monitoring and yield forecasts
Marijn van der Velde, Irene Biavetti, Mohamed El-Aydam, et al.
Agricultural Systems (2018) Vol. 168, pp. 224-230
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Using machine learning for crop yield prediction in the past or the future
Alejandro Morales, Francisco J. Villalobos
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 59
Accessing the temporal and spectral features in crop type mapping using multi-temporal Sentinel-2 imagery: A case study of Yi’an County, Heilongjiang province, China
Hongyan Zhang, Jinzhong Kang, Xiong Xu, et al.
Computers and Electronics in Agriculture (2020) Vol. 176, pp. 105618-105618
Closed Access | Times Cited: 96
A systematic review of local to regional yield forecasting approaches and frequently used data resources
Bernhard Schauberger, Jonas Jägermeyr, Christoph Gornott
European Journal of Agronomy (2020) Vol. 120, pp. 126153-126153
Open Access | Times Cited: 94
Machine learning for regional crop yield forecasting in Europe
Dilli Paudel, Hendrik Boogaard, Allard de Wit, et al.
Field Crops Research (2021) Vol. 276, pp. 108377-108377
Open Access | Times Cited: 90
Soil loss due to crop harvesting in the European Union: A first estimation of an underrated geomorphic process
Panos Panagos, Pasquale Borrelli, Jean Poesen
The Science of The Total Environment (2019) Vol. 664, pp. 487-498
Open Access | Times Cited: 72
Performance of the MARS-crop yield forecasting system for the European Union: Assessing accuracy, in-season, and year-to-year improvements from 1993 to 2015
Marijn van der Velde, Luigi Nisini
Agricultural Systems (2018) Vol. 168, pp. 203-212
Open Access | Times Cited: 64
Seasonal climate forecast can inform the European agricultural sector well in advance of harvesting
Andrej Ceglar, Andrea Toreti
npj Climate and Atmospheric Science (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 53
Time Series from Sentinel-2 for Organic Durum Wheat Yield Prediction Using Functional Data Analysis and Deep Learning
Adriano Mancini, Francesco Solfanelli, Luca Coviello, et al.
Agronomy (2024) Vol. 14, Iss. 1, pp. 109-109
Open Access | Times Cited: 7
Forecasting future crop suitability with microclimate data
Alexandra S. Gardner, Ilya M. D. Maclean, Kevin J. Gaston, et al.
Agricultural Systems (2021) Vol. 190, pp. 103084-103084
Open Access | Times Cited: 28
Insights from field phenotyping improve satellite remote sensing based in-season estimation of winter wheat growth and phenology
Lukas Valentin Graf, Quirina Noëmi Merz, Achim Walter, et al.
Remote Sensing of Environment (2023) Vol. 299, pp. 113860-113860
Open Access | Times Cited: 12
Translating large-scale climate variability into crop production forecast in Europe
Gabriela Guimarães Nobre, Johannes Hunink, Bettina Baruth, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 32
Machine-learning methods to assess the effects of a non-linear damage spectrum taking into account soil moisture on winter wheat yields in Germany
Michael Peichl, Stephan Thober, Luis Samaniego, et al.
Hydrology and earth system sciences (2021) Vol. 25, Iss. 12, pp. 6523-6545
Open Access | Times Cited: 23
Learning main drivers of crop progress and failure in Europe with interpretable machine learning
Anna Mateo-Sanchis, María Piles, Julia Amorós-López, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 104, pp. 102574-102574
Open Access | Times Cited: 22
Spatiotemporal Estimation of the Olive and Vine Cultivations’ Growing Degree Days in the Balkans Region
Ioannis Charalampopoulos, Iliana Polychroni, Emmanouil Psomiadis, et al.
Atmosphere (2021) Vol. 12, Iss. 2, pp. 148-148
Open Access | Times Cited: 21
Moving climate seasonal forecasts information from useful to usable for early within-season predictions of durum wheat yield
Riccardo Dainelli, Sandro Calmanti, Massimiliano Pasqui, et al.
Climate Services (2022) Vol. 28, pp. 100324-100324
Closed Access | Times Cited: 16
Statistical and machine learning models for location-specific crop yield prediction using weather indices
S. Ajith, Manoj Kanti Debnath, R Karthik
International Journal of Biometeorology (2024)
Closed Access | Times Cited: 3
In-season performance of European Union wheat forecasts during extreme impacts
Marijn van der Velde, Bettina Baruth, Bussay Attila, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 27
The European crop monitoring and yield forecasting system: Celebrating 25 years of JRC MARS Bulletins
Marijn van der Velde, C.A. van Diepen, Bettina Baruth
Agricultural Systems (2018) Vol. 168, pp. 56-57
Open Access | Times Cited: 27
Full Parameterisation Matters for the Best Performance of Crop Models: Inter-comparison of a Simple and a Detailed Maize Model
Ahmad M. Manschadi, Josef Eitzinger, M. Breisch, et al.
International Journal of Plant Production (2020) Vol. 15, Iss. 1, pp. 61-78
Open Access | Times Cited: 21
In-season weather data provide reliable yield estimates of maize and soybean in the US central Corn Belt
V.R. Joshi, Maciej J. Kazula, Jeffrey A. Coulter, et al.
International Journal of Biometeorology (2020) Vol. 65, Iss. 4, pp. 489-502
Open Access | Times Cited: 17
Mapping spatial dynamicity of cropping pattern and long-term surveillance of land-use/land-cover alterations in the Indian Sundarban region
Sabir Hossain Molla, Rukhsana Rukhsana
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 6
Closed Access | Times Cited: 5
Weather-based maize yield forecast in Saudi Arabia using statistical analysis and machine learning
Prabhu Jayagopal, V. Muthukumaran, Manjula Sanjay Koti, et al.
Acta Geophysica (2022) Vol. 70, Iss. 6, pp. 2901-2916
Closed Access | Times Cited: 8
Performance of the SSM-iCrop model for predicting growth and nitrogen dynamics in winter wheat
Ahmad M. Manschadi, M. Palka, W. Fuchs, et al.
European Journal of Agronomy (2022) Vol. 135, pp. 126487-126487
Open Access | Times Cited: 7
A Crop Group-Specific Pure Pixel Time Series for Europe
Christof J. Weissteiner, Raúl López‐Lozano, Giacinto Manfron, et al.
Remote Sensing (2019) Vol. 11, Iss. 22, pp. 2668-2668
Open Access | Times Cited: 9
A Survey on Agriculture Monitoring with Satellite and Its Benefits
Sathiya Priya R, U. Rahamathunnisa
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2022), pp. 1854-1858
Closed Access | Times Cited: 5
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