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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:

End-to-End Iris Segmentation Using U-Net
Juš Lozej, Blaž Meden, Vitomir Štruc, et al.
(2018)
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Deep Learning for Iris Recognition: A Survey
Kien Nguyen, Hugo Proença, Fernando Alonso‐Fernandez
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-35
Open Access | Times Cited: 21
A Robust Iris Segmentation Scheme Based on Improved U-Net
Wei Zhang, Xiaoqi Lu, Yu Gu, et al.
IEEE Access (2019) Vol. 7, pp. 85082-85089
Open Access | Times Cited: 62
Deep Sclera Segmentation and Recognition
Peter Rot, Matej Vitek, Klemen Grm, et al.
Advances in computer vision and pattern recognition (2019), pp. 395-432
Closed Access | Times Cited: 48
Iris and periocular biometrics for head mounted displays: Segmentation, recognition, and synthetic data generation
Fadi Boutros, Naser Damer, Kiran Raja, et al.
Image and Vision Computing (2020) Vol. 104, pp. 104007-104007
Closed Access | Times Cited: 44
Iris Recognition Development Techniques: A Comprehensive Review
Jasem Rahman Malgheet, Noridayu Manshor, Lilly Suriani Affendey
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 38
Robust Iris Segmentation Algorithm in Non-Cooperative Environments Using Interleaved Residual U-Net
Yung‐Hui Li, Wenny Ramadha Putri, Muhammad Saqlain Aslam, et al.
Sensors (2021) Vol. 21, Iss. 4, pp. 1434-1434
Open Access | Times Cited: 33
SAM-Iris: A SAM-Based Iris Segmentation Algorithm
Jian Jiang, Qi Zhang, Caiyong Wang
Electronics (2025) Vol. 14, Iss. 2, pp. 246-246
Open Access
Deep learning for iris recognition: a review
Yimin Yin, Siliang He, Renye Zhang, et al.
Neural Computing and Applications (2025)
Open Access
Study on Iris Segmentation Algorithm Based on Dense U-Net
Xiaoqiang Wu, Long Zhao
IEEE Access (2019) Vol. 7, pp. 123959-123968
Open Access | Times Cited: 32
Iris Recognition with Image Segmentation Employing Retrained Off-the-Shelf Deep Neural Networks
Daniel Kerrigan, Mateusz Trokielewicz, Adam Czajka, et al.
(2019), pp. 1-7
Open Access | Times Cited: 30
ContexedNet: Context–Aware Ear Detection in Unconstrained Settings
Žiga Emeršič, Diego Sušanj, Blaž Meden, et al.
IEEE Access (2021) Vol. 9, pp. 145175-145190
Open Access | Times Cited: 24
Iris segmentation method based on improved UNet++
Guang Huo, Dawei Lin, Meng Yuan
Multimedia Tools and Applications (2022) Vol. 81, Iss. 28, pp. 41249-41269
Closed Access | Times Cited: 18
Eye-MMS: Miniature Multi-Scale Segmentation Network of Key Eye-Regions in Embedded Applications
Fadi Boutros, Naser Damer, Florian Kirchbuchner, et al.
(2019) Vol. 66, pp. 3665-3670
Closed Access | Times Cited: 29
A smart application to detect pupil for small dataset with low illumination
A. Swathi, Aarti Aarti, Sandeep Kumar
Innovations in Systems and Software Engineering (2021) Vol. 17, Iss. 1, pp. 29-43
Closed Access | Times Cited: 21
Exploring Bias in Sclera Segmentation Models: A Group Evaluation Approach
Matej Vitek, Abhijit Das, Diego Rafael Lucio, et al.
IEEE Transactions on Information Forensics and Security (2022) Vol. 18, pp. 190-205
Open Access | Times Cited: 15
SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment
Matej Vitek, Abhijit Das, Y. Pourcenoux, et al.
(2020), pp. 1-10
Closed Access | Times Cited: 23
A Comprehensive Evaluation of Iris Segmentation on Benchmarking Datasets
Mst Rumana Sumi, Priyanka Das, Afzal Hossain, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 7079-7079
Open Access | Times Cited: 2
Influence of segmentation on deep iris recognition performance
Juš Lozej, Dejan Štepec, Vitomir Štruc, et al.
(2019)
Open Access | Times Cited: 22
On Benchmarking Iris Recognition within a Head-mounted Display for AR/VR Applications
Fadi Boutros, Naser Damer, Kiran Raja, et al.
(2020), pp. 1-10
Closed Access | Times Cited: 19
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
Segmentation-free Direct Iris Localization Networks
T. Toizumi, Koichi Takahashi, Masato Tsukada
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 991-1000
Open Access | Times Cited: 5
Learning-Free Iris Segmentation Revisited: A First Step Toward Fast Volumetric Operation Over Video Samples
Jeffery Kinnison, Mateusz Trokielewicz, Camila Carballo, et al.
(2019), pp. 1-8
Open Access | Times Cited: 14
Open Source Iris Recognition Hardware and Software with Presentation Attack Detection
Zhaoyuan Fang, Adam Czajka
(2020), pp. 1-8
Open Access | Times Cited: 13
Iris R-CNN: Accurate iris segmentation and localization in non-cooperative environment with visible illumination
Xin Feng, Wenxing Liu, Jiangang Li, et al.
Pattern Recognition Letters (2021) Vol. 155, pp. 151-158
Closed Access | Times Cited: 12
Inpainting of Irregular Holes in a Manuscript using UNet and Partial Convolution
Amreen Kaur, Ankit Raj, N. Jayanthi, et al.
2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA) (2020), pp. 778-784
Closed Access | Times Cited: 12
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