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:

U-Net convolutional neural network for multisource heterogeneous iris segmentation
Vito Ivano D’Alessandro, Luisa De Palma, Filippo Attivissimo, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2023), pp. 1-5
Closed Access | Times Cited: 6

Showing 6 citing articles:

Deep learning for iris recognition: a review
Yimin Yin, Siliang He, Renye Zhang, et al.
Neural Computing and Applications (2025)
Open Access

Optimizing Satellite Imagery Datasets for Enhanced Land/Water Segmentation
Marco Scarpetta, Luisa De Palma, Attilio Di Nisio, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1793-1793
Open Access

Non-Invasive Blood Pressure Sensing via Machine Learning
Filippo Attivissimo, Vito Ivano D’Alessandro, Luisa De Palma, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8342-8342
Open Access | Times Cited: 12

Use of the SNOWED Dataset for Sentinel-2 Remote Sensing of Water Bodies: The Case of the Po River
Marco Scarpetta, Maurizio Spadavecchia, Paolo Affuso, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5827-5827
Open Access | Times Cited: 1

Prediction of Li-Ion Battery State-of-Health Based on Data-Driven Approach
Daniel Lotano, Lorenzo Ciani, Nicola Giaquinto, et al.
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2024), pp. 1-6
Closed Access

U-Net Convolutional Neural Network for Optic Disc Segmentation
Vito Ivano D’Alessandro, Francesco Adamo, Luisa De Palma, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 1087-1091
Closed Access

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