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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.

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Showing 19 citing articles:

Non-destructive discrimination of vacuum-dried banana using image processing operation and machine learning approach
Ewa Ropelewska, Necati Çetin, Seda Günaydın
Food and Bioproducts Processing (2023) Vol. 141, pp. 36-48
Closed Access | Times Cited: 10
The Changes in Bell Pepper Flesh as a Result of Lacto-Fermentation Evaluated Using Image Features and Machine Learning
Ewa Ropelewska, Kadir Sabancı, Muhammet Fatih Aslan
Foods (2022) Vol. 11, Iss. 19, pp. 2956-2956
Open Access | Times Cited: 15
Rapid Detection of Changes in Image Textures of Carrots Caused by Freeze-Drying using Image Processing Techniques and Machine Learning Algorithms
Ewa Ropelewska, Kadir Sabancı, Muhammet Fatih Aslan, et al.
Sustainability (2023) Vol. 15, Iss. 8, pp. 7011-7011
Open Access | Times Cited: 8
Application of Imaging and Artificial Intelligence for Quality Monitoring of Stored Black Currant (Ribes nigrum L.)
Ewa Ropelewska
Foods (2022) Vol. 11, Iss. 22, pp. 3589-3589
Open Access | Times Cited: 13
Recognition performance of different artificial neural networks for distinguishing banana slices subjected to different combinations of pretreatment and microwave drying
Necati Çetin, Ewa Ropelewska, Younés Noutfia, et al.
Food Control (2024) Vol. 163, pp. 110488-110488
Closed Access | Times Cited: 2
Machine learning and computer vision technology to analyze and discriminate soil samples
Sema Kaplan, Ewa Ropelewska, Seda Günaydın, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Non-Destructive Monitoring of Sweet Pepper Samples After Selected Periods of Lacto-Fermentation
Ewa Ropelewska, Justyna Szwejda‐Grzybowska, Anna Wrzodak, et al.
Agriculture (2024) Vol. 14, Iss. 11, pp. 1855-1855
Open Access | Times Cited: 2
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
The innovative approach to the assessment of differences in image textures between windfall apple samples dried using non-thermal and thermal techniques without and with ultrasound pretreatment
Necati Çetin, Ewa Ropelewska, Kadir Sabancı
Expert Systems with Applications (2023) Vol. 232, pp. 120917-120917
Closed Access | Times Cited: 6
Distinguishing Cyst Nematode Species Using Image Textures and Artificial Neural Networks
Ewa Ropelewska, Andrzej Skwiercz, Mirosław Sobczak
Agronomy (2023) Vol. 13, Iss. 9, pp. 2277-2277
Open Access | Times Cited: 5
Assessment of the Influence of Storage Conditions and Time on Red Currants (Ribes rubrum L.) Using Image Processing and Traditional Machine Learning
Ewa Ropelewska
Agriculture (2022) Vol. 12, Iss. 10, pp. 1730-1730
Open Access | Times Cited: 9
Exploration of Convective and Infrared Drying Effect on Image Texture Parameters of ‘Mejhoul’ and ‘Boufeggous’ Date Palm Fruit Using Machine Learning Models
Younés Noutfia, Ewa Ropelewska
Foods (2024) Vol. 13, Iss. 11, pp. 1602-1602
Open Access | Times Cited: 1
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
The Use of Digital Color Imaging and Machine Learning for the Evaluation of the Effects of Shade Drying and Open-Air Sun Drying on Mint Leaf Quality
Ewa Ropelewska, Kadir Sabancı, Muhammet Fatih Aslan
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 206-206
Open Access | Times Cited: 4
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 effect of lacto‐fermentation over time on the changes in zucchini flesh quality assessed using machine learning models based on image textures
Ewa Ropelewska, Kadir Sabancı, Muhammet Fatih Aslan
Journal of Food Process Engineering (2023) Vol. 46, Iss. 12
Closed Access | Times Cited: 2
A comparative study of distinguishing apple cultivars and a clone based on features of selected fruit parts and leaves using image processing and artificial intelligence
Ewa Ropelewska, M. Lewandowski
Acta Scientiarum Polonorum Hortorum Cultus (2024) Vol. 23, Iss. 2, pp. 79-92
Open Access
A comprehensive review on the application of neural network model in microbial fermentation
Jiacong Huang, Qi Guo, Xuhong Li, et al.
Bioresource Technology (2024) Vol. 416, pp. 131801-131801
Closed Access
Trace the origin of dried sea cucumber (Apostichopus japonicus) in Shandong Province based on elements ananlysis combined with machine learning
Wanli Zong, Lixia Feng, Zilong Zhu, et al.
Food and Humanity (2024) Vol. 4, pp. 100496-100496
Closed Access
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