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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:

Flower Recognition System with Optimized Features for Deep Features
Ramazan Kursun, İlkay Çınar, Yavuz Selim Taşpınar, et al.
2022 11th Mediterranean Conference on Embedded Computing (MECO) (2022), pp. 1-4
Closed Access | Times Cited: 16

Showing 16 citing articles:

Detection of fish freshness using artificial intelligence methods
Elham Tahsin Yasin, İlker Ali Özkan, Murat Köklü
European Food Research and Technology (2023) Vol. 249, Iss. 8, pp. 1979-1990
Closed Access | Times Cited: 27
Comparative analysis of machine learning and deep learning algorithms for knee arthritis detection using YOLOv8 models
İlkay Çınar
Journal of X-Ray Science and Technology (2025)
Closed Access
Maize seeds forecasting with hybrid directional and bi‐directional long short‐term memory models
Hakan Işık, Şakir Taşdemir, Yavuz Selim Taşpınar, et al.
Food Science & Nutrition (2023) Vol. 12, Iss. 2, pp. 786-803
Open Access | Times Cited: 9
Automated classification of hand-woven and machine-woven carpets based on morphological features using machine learning algorithms
Melike Turan Işık, Burcu Ozulku, Ramazan Kursun, et al.
Journal of the Textile Institute (2024) Vol. 115, Iss. 12, pp. 2650-2659
Closed Access | Times Cited: 1
Classification of Sugarcane Leaf Disease with AlexNet Model
Ramazan Kursun, Elham Tahsin Yasin, Murat Köklü
Proceedings of international conference on intelligent systems and new applications. (2024)
Open Access | Times Cited: 1
MALICIOUS UAVS CLASSIFICATION USING VARIOUS CNN ARCHITECTURES FEATURES AND MACHINE LEARNING ALGORITHMS
Ahmet Feyzioğlu, Yavuz Selim Taşpınar
International Journal of 3D Printing Technologies and Digital Industry (2023) Vol. 7, Iss. 2, pp. 277-285
Open Access | Times Cited: 4
The Effectiveness of Deep Learning Methods on Groundnut Disease Detection
Ramazan Kursun, Elham Tahsin Yasin, Murat Köklü
Proceedings of the International Conference on Advanced Technologies (2023)
Open Access | Times Cited: 4
Utilizing Random Forests for the Classification of Pudina Leaves through Feature Extraction with InceptionV3 and VGG19
Elham Tahsin Yasin, Murat Köklü
Deleted Journal (2023)
Open Access | Times Cited: 2
A Detailed Analysis of Detecting Heart Diseases Using Artificial Intelligence Methods
Kenan Erdem, Müslüme Beyza Yıldız, Elham Tahsin Yasin, et al.
Intelligent Methods in Engineering Sciences (2023)
Open Access | Times Cited: 2
From scratch or pretrained? An in-depth analysis of deep learning approaches with limited data
Saqib Ul Sabha, Assif Assad, Nusrat Mohi Ud Din, et al.
International Journal of Systems Assurance Engineering and Management (2024)
Closed Access
Distinguishing Between AI Images and Real Images with Hybrid Image Classification Methods
Yavuz Selim Taşpınar, İlkay Çınar
2022 11th Mediterranean Conference on Embedded Computing (MECO) (2024), pp. 1-4
Closed Access
Hybridizing Long Short-Term Memory and Bi-Directional Long Short-Term Memory Models for Efficient Classification: A Study on Xanthomonas axonopodis pv. phaseoli (XaP) in Two Bean Varieties
Ramazan Kursun, A. Gur, Kubilay Kurtuluş Baştaş, et al.
Agronomy (2024) Vol. 14, Iss. 7, pp. 1495-1495
Open Access
A comparative analysis of machine learning algorithms for waste classification: inceptionv3 and chi-square features
Elham Tahsin Yasin, Murat Köklü
International Journal of Environmental Science and Technology (2024)
Closed Access
Flower Classification Using Deep Learning Approaches
S Kala, N. Padmaja, P. Neelima
(2023), pp. 1-7
Closed Access | Times Cited: 1
Predicting Future Demand Analysis in the Logistics Sector Using Machine Learning Methods
Erhan HAYTA, Bunyamin Gencturk, Cuneyt ERGEN, et al.
Intelligent Methods in Engineering Sciences (2023)
Open Access
Digitization and Archiving of Company Invoices using Deep Learning and Text Recognition-Processing Techniques
Ensar GUNAYDIN, Bunyamin Gencturk, Cuneyt ERGEN, et al.
Intelligent Methods in Engineering Sciences (2023)
Open Access
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