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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:

Yield and Quality of Romaine Lettuce at Different Daily Light Integral in an Indoor Controlled Environment
B. Matysiak, Ewa Ropelewska, Anna Wrzodak, et al.
Agronomy (2022) Vol. 12, Iss. 5, pp. 1026-1026
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

The embodied carbon emissions of lettuce production in vertical farming, greenhouse horticulture, and open-field farming in the Netherlands
Tess Blom, Andrew Jenkins, Riccardo Maria Pulselli, et al.
Journal of Cleaner Production (2022) Vol. 377, pp. 134443-134443
Open Access | Times Cited: 63
Determination of optimal daily light integral (DLI) for indoor cultivation of iceberg lettuce in an indigenous vertical hydroponic system
Kishor P. Gavhane, Murtaza Hasan, Dhirendra Kumar Singh, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 22
Vertical farming (plant factory with artificial lighting) and its produce: consumer insights
Sara R. Jaeger
Current Opinion in Food Science (2024) Vol. 56, pp. 101145-101145
Open Access | Times Cited: 8
Recent Advances in Light-Conversion Phosphors for Plant Growth and Strategies for the Modulation of Photoluminescence Properties
Chengxiang Yang, Wei Liu, Qi You, et al.
Nanomaterials (2023) Vol. 13, Iss. 11, pp. 1715-1715
Open Access | Times Cited: 20
Performance analysis of two typical greenhouse lettuce production systems: commercial hydroponic production and traditional soil cultivation
Lichun Wang, Songrui Ning, Wengang Zheng, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 15
Enhancing Pigment Phenotyping and Classification in Lettuce through the Integration of Reflectance Spectroscopy and AI Algorithms
Renan Falcioni, João Vitor Ferreira Gonçalves, Karym Mayara de Oliveira, et al.
Plants (2023) Vol. 12, Iss. 6, pp. 1333-1333
Open Access | Times Cited: 12
Distinguishing lacto-fermented and fresh carrot slice images using the Multilayer Perceptron neural network and other machine learning algorithms from the groups of Functions, Meta, Trees, Lazy, Bayes and Rules
Ewa Ropelewska
European Food Research and Technology (2022) Vol. 248, Iss. 9, pp. 2421-2429
Closed Access | Times Cited: 19
Assessment of romaine lettuce cultivars grown in a vertical hydroponic system at two levels of LED light intensity
Maria Grzegorzewska, Ewa Badełek, B. Matysiak, et al.
Scientia Horticulturae (2023) Vol. 313, pp. 111913-111913
Closed Access | Times Cited: 12
Reflectance Spectroscopy for the Classification and Prediction of Pigments in Agronomic Crops
Renan Falcioni, Werner Camargos Antunes, José Alexandre Melo Demattê, et al.
Plants (2023) Vol. 12, Iss. 12, pp. 2347-2347
Open Access | Times Cited: 12
Effect of Various LED Light Qualities, Including Wide Red Spectrum-LED, on the Growth and Quality of Mini Red Romaine Lettuce (cv. Breen)
Joo Hwan Lee, Yong Beom Kwon, Yoo Han Roh, et al.
Plants (2023) Vol. 12, Iss. 10, pp. 2056-2056
Open Access | Times Cited: 10
Non−Invasive Assessment, Classification, and Prediction of Biophysical Parameters Using Reflectance Hyperspectroscopy
Renan Falcioni, Gláucio Leboso Alemparte Abrantes dos Santos, Luís Guilherme Teixeira Crusiol, et al.
Plants (2023) Vol. 12, Iss. 13, pp. 2526-2526
Open Access | Times Cited: 9
VIS-NIR-SWIR Hyperspectroscopy Combined with Data Mining and Machine Learning for Classification of Predicted Chemometrics of Green Lettuce
Renan Falcioni, João Vitor Ferreira Gonçalves, Karym Mayara de Oliveira, et al.
Remote Sensing (2022) Vol. 14, Iss. 24, pp. 6330-6330
Open Access | Times Cited: 14
Growth and Quality of Leaf and Romaine Lettuce Grown on a Vertical Farm in an Aquaponics System: Results of Farm Research
B. Matysiak, S. Kaniszewski, Monika Mieszczakowska‐Frąc
Agriculture (2023) Vol. 13, Iss. 4, pp. 897-897
Open Access | Times Cited: 7
Innovative Models Built Based on Image Textures Using Traditional Machine Learning Algorithms for Distinguishing Different Varieties of Moroccan Date Palm Fruit (Phoenix dactylifera L.)
Younés Noutfia, Ewa Ropelewska
Agriculture (2022) Vol. 13, Iss. 1, pp. 26-26
Open Access | Times Cited: 11
Comprehensive Characterization of Date Palm Fruit ‘Mejhoul’ (Phoenix dactylifera L.) Using Image Analysis and Quality Attribute Measurements
Younés Noutfia, Ewa Ropelewska
Agriculture (2022) Vol. 13, Iss. 1, pp. 74-74
Open Access | Times Cited: 10
The Classification of Peaches at Different Ripening Stages Using Machine Learning Models Based on Texture Parameters of Flesh Images
Ewa Ropelewska, Krzysztof P. Rutkowski
Agriculture (2023) Vol. 13, Iss. 2, pp. 498-498
Open Access | Times Cited: 5
Synergetic integration of vertical farms and buildings: reducing the use of energy, water, and nutrients
Tess Blom, Andrew Jenkins, Andy van den Dobbelsteen
Frontiers in Sustainable Food Systems (2023) Vol. 7
Open Access | Times Cited: 5
Optimization of an Indoor DWC Hydroponic Lettuce Production System to Generate a Low N and P Content Wastewater
Luís Aires, Kirill Ispolnov, Tomás R. Luz, et al.
Processes (2023) Vol. 11, Iss. 2, pp. 365-365
Open Access | Times Cited: 5
Automated Visual Identification of Foliage Chlorosis in Lettuce Grown in Aquaponic Systems
Rabiya Abbasi, Pablo Martı́nez, Rafiq Ahmad
Agriculture (2023) Vol. 13, Iss. 3, pp. 615-615
Open Access | Times Cited: 5
Investigating the Effects of Full-Spectrum LED Lighting on Strawberry Traits Using Correlation Analysis and Time-Series Prediction
Yuze Lu, Mali Gong, Jing Li, et al.
Plants (2024) Vol. 13, Iss. 2, pp. 149-149
Open Access | Times Cited: 1
UV-A for Tailoring the Nutritional Value and Sensory Properties of Leafy Vegetables
Kristina Laužikė, Akvilė Viršilė, G. Samuolienė, et al.
Horticulturae (2023) Vol. 9, Iss. 5, pp. 551-551
Open Access | Times Cited: 3
Application of image analysis and machine learning for the assessment of grape (Vitis L.) berry behavior under different storage conditions
Ewa Ropelewska, Younés Noutfia
European Food Research and Technology (2023) Vol. 250, Iss. 3, pp. 935-944
Open Access | Times Cited: 3
Evaluating the Classification of Freeze-Dried Slices and Cubes of Red-Fleshed Apple Genotypes Using Image Textures, Color Parameters, and Machine Learning
Ewa Ropelewska, D. Kruczyńska, Ahmed Rady, et al.
Agriculture (2023) Vol. 13, Iss. 3, pp. 562-562
Open Access | Times Cited: 2
The influence of natural preparations on the chemical composition, flesh structure and sensory quality of pepper fruit in organic greenhouse cultivation
Justyna Szwejda‐Grzybowska, Ewa Ropelewska, Anna Wrzodak, et al.
Food Control (2023) Vol. 155, pp. 110088-110088
Closed Access | Times Cited: 2
Consumers' expectations and experiences of salad greens, herbs, and fruits from vertical farming: Comparison with organic produce
Sara R. Jaeger, Sok L. Chheang, Christina M. Roigard, et al.
Food Quality and Preference (2023) Vol. 112, pp. 105020-105020
Open Access | Times Cited: 2
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